Software Engineer III, Android

🏢 Summary: Machine Learning Engineer II role focused on designing, building, and deploying production-grade machine learning models that improve core product experiences and drive measurable business impact. The position emphasizes modeling, experimentation, and close collaboration with cross-functional teams to bring scalable ML solutions into high-traffic user flows. This is an individual contributor role centered on algorithmic innovation and end-to-end ML lifecycle ownership. 🗂️ Requirements: BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or related field, 2+ years of industry experience in machine learning, software engineering, data science, or related field, Strong knowledge of data structures, algorithms, and software design, Experience building or operating ML or AI systems, Proficiency in Python, Proficiency in at least one of: Java, Kotlin, Go, Scala, Strong understanding of model training, evaluation, and experimentation, Ability to design and analyze offline evaluations and online experiments, Experience writing production-quality code 📃 Skills: Python, Java, Kotlin, Go, Scala, Spark, Flink, AWS, Kubernetes, TensorFlow, TorchServe, Triton, Ray, Airflow, CI/CD, MLOps 🏢 Description: Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team or Role: The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. ML at Tinder is organized into three groups with distinct roles: Machine Learning Engineers who focus on modeling and algorithmic innovation (this role) Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment. This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California. In this role, you will: Translate product and business problems into clear machine learning problems with measurable success criteria Build, train, evaluate, and improve production machine learning models Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production Design and analyze offline evaluations and online experiments to understand model impact Contribute to feature engineering, data preparation, training pipelines, and model monitoring Write clean, maintainable, production-quality code and participate in design and code reviews Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners You'll need: BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field 2+ years of industry experience in machine learning, software engineering, data science, or a related field Strong foundation in computer science fundamentals, including data structures, algorithms, and software design Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation Strong communication skills and the ability to collaborate effectively across functions Self-motivated, proactive, and comfortable taking ownership of well-scoped problems Nice to have: Experience with recommendation systems or casual inference Familiarity with big data or stream processing frameworks such as Spark or Flink Familiarity with cloud platforms such as AWS and containerized environments such as Kubernetes Familiarity with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve Experience with feature stores, ML data pipelines, and orchestration frameworks such as Airflow Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation Exposure to observability and monitoring for ML systems Exposure to LLM-related use cases or applied generative AI projects As a full-time employee, you’ll enjoy: Flexible Vacation, 10 Sick Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents) and family forming benefits Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free subscription to Tinder Gold Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

🏢 Summary: Hybrid BD Operations Analyst role supporting Tinder’s Events Program by managing deal flow, contract lifecycle, partner coordination, and event supply operations within the app. The position focuses on CRM management, data reporting, quality control, and cross-functional collaboration with BD, Legal, Finance, and Product teams. It requires a detail-oriented professional experienced in operations and partnership processes within a fast-paced environment. 🗂️ Requirements: 2–4 years of experience in operations, partnerships coordination, account management, or similar role, Experience managing contracts, payments, or vendor/partner processes, Proficiency in CRM systems (e.g., Salesforce, HubSpot), Experience working with spreadsheets and data reporting tools, Ability to manage contract lifecycle and approval workflows, Strong cross-functional collaboration with BD, Legal, Finance, and Product teams, Ability to maintain accurate records and ensure data quality, Experience supporting operational workflows and process improvements 📃 Skills: Salesforce, HubSpot, CRM, Spreadsheets, DocuSign, Coupa, Data, Reporting 🏢 Description: Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Move Fast: We have a bias for action and urgency. Better Together: We keep connection at the heart of dating and at the heart of how we work. Real Talk: We say the hard thing the human way. Safety First: We act with integrity, transparency, and consistency so people feel safe. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Description Tinder's Events program is building a new way for members to connect in person — and the operational backbone that makes it run is just as critical as the partnerships that power it. The BD Operations Analyst, Events Program is an IC role responsible for keeping deal flow moving, contracts clean, and event supply healthy on the Tinder platform. You'll sit at the intersection of the BD team, event host partners, and the product team — ensuring that what gets sourced in the field actually shows up in the app, accurately and on time. This is a detail-oriented, systems-driven role focused on making complex workflows run smoothly. You will collaborate daily with BD Managers, Legal, Finance, and Product. Responsibilities Operationalize deal flow across the Events BD team — tracking pipeline stages, maintaining CRM hygiene, and ensuring clean handoffs from sourcing through activation Manage the contract lifecycle for event host partnerships, including routing agreements for approval, coordinating payment processing, and maintaining accurate records Build and maintain relationships with existing event host partners, acting as a key point of contact for renewals, recurring deal logistics, and day-to-day questions Partner with the product team to manage event supply within the app — coordinating on listings, status updates, scheduling changes, and content accuracy Own quality control processes: review active and incoming event listings for brand alignment, content accuracy, and compliance with Tinder's policies Maintain clean, reliable data across partnership systems; build and distribute regular reports on supply health, partner activity, and deal metrics Identify operational gaps and propose scalable solutions as the program expands to new markets Support the broader BD team with ad hoc research, partner communications, and administrative workflows as needed Requirements 2–4 years of experience in operations, partnerships coordination, account management, or a similar detail-oriented role Strong organizational skills with experience managing contracts, payments, or vendor/partner processes Analytical mindset — comfortable working in spreadsheets, CRMs (Salesforce, HubSpot, or similar), and data reporting tools Clear, professional communicator who can manage multiple internal and external stakeholders simultaneously Proactive, process-improvement mindset Ability to work cross-functionally with BD, Legal, Finance, and Product teams Nice to Have Experience in the events, entertainment, hospitality, or consumer marketplace industries Familiarity with contract management or payment processing tools (e.g., DocuSign, Coupa, or similar) Background working alongside product or engineering teams Experience supporting a multi-market or high-volume partner portfolio Benefits Flexible Vacation, 10 Sick Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave and family forming benefits Annual $3,000 professional development stipend and access to 6,000+ online courses via Udemy Mental health support, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free Tinder Gold subscription Commitment to Inclusion We strive to build a workplace that reflects the rich diversity of our members around the world and value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, you are invited to apply and show how your skills could transfer. Tinder is proud to be an equal opportunity workplace welcoming people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

🏢 Summary: Senior Android Engineer role focused on designing, building, and maintaining consumer-facing features for a large-scale mobile application. The position involves end-to-end ownership of Android features, contributing to architecture standards, and working with modern development practices and AI-assisted tools. The engineer will collaborate cross-functionally while mentoring others in a fast-paced environment. 🗂️ Requirements: 5+ years of professional experience building and shipping Android applications, Strong proficiency in Kotlin, Experience with Jetpack Compose and/or XML-based UI development, Experience with MVVM, MVI, or Clean Architecture in medium-to-large codebases, Solid understanding of Android lifecycle, threading, performance, and memory management, Experience integrating and consuming networked APIs, Experience owning features end-to-end from design to release, Experience using AI-assisted development tools 📃 Skills: Kotlin, JetpackCompose, XML, MVVM, MVI, CleanArchitecture, Android, APIs, AI 🏢 Description: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Android Engineer to design, build, and maintain features that power Bumble’s consumer-facing dating experience. You will work in Kotlin with Jetpack Compose and XML-based views, owning features end-to-end from technical design through release while contributing to Android architecture standards in a large, fast-moving codebase. The role includes mentoring junior engineers and integrating AI-assisted development tools into the engineering workflow. What you will do Design, build, and maintain high-quality Android features that power consumer-facing experiences; Partner closely with Product Managers and Designers to shape product vision, influence the roadmap, and translate ideas into polished Android implementations; Own Android features end-to-end, from technical design and implementation through testing, release, and iteration; Contribute to and evolve the Android architecture and engineering standards, balancing long-term maintainability with rapid product development; Leverage AI-assisted development tools and workflows to improve productivity, code quality, and developer experience; Help mature the team’s approach to AI usage by sharing best practices, tools, and learnings with other engineers; Support and mentor other Android engineers through code reviews, pairing, and technical guidance. Must haves 5+ years of professional experience building and shipping production Android applications; Strong proficiency in Kotlin and experience with modern Android development practices; Experience building UIs using Jetpack Compose and/or XML-based views; Proven experience designing and maintaining Android application architectures such as MVVM , MVI , or Clean Architecture in medium-to-large codebases; Solid understanding of Android platform fundamentals, including activity and fragment lifecycle, threading, performance, and memory management; Experience integrating and consuming networked APIs from Android clients, including error handling and offline considerations; Experience owning Android features end-to-end, from technical design and implementation through testing and release; Excellent communication skills and a collaborative, inclusive mindset; Upper-intermediate English level. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Machine Learning Engineer role focused on building and deploying AI-driven detection systems to identify policy-violating behavior and harmful content, ensuring user safety on the platform. The position involves end-to-end ownership of ML projects, from data collection and model training to deployment and monitoring in production. The role emphasizes applied ML, LLM integration, and scalable infrastructure in a Trust & Safety context. 🗂️ Requirements: 2+ years experience as Machine Learning Engineer, Applied Scientist, or Data Scientist, 1+ year experience deploying end-to-end ML models in production, Proficiency in Python and SQL, Experience with at least one ML framework (e.g., PyTorch), Experience training and deploying ML models in production environments, Understanding of distributed computing for ML training and inference, Hands-on experience with LLMs and AI agents in real-world applications, Experience designing and running ML/LLM evaluation frameworks, Experience working with cloud platforms (GCP, AWS, or Azure), Experience building or contributing to data pipelines for batch or streaming processing, Degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Python, SQL, PyTorch, HuggingFace, Spark, Kubernetes, Databricks, Ray, Kubeflow, Argo, GCP, AWS, Azure, LLM, RAG 🏢 Description: Hinge is the dating app designed to be deletedIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.About the Role Join Hinge as a Machine Learning Engineer on the Trust & Safety team, where you'll apply AI and machine learning to mitigate the impact of policy violating actors, remove harmful content, and keep our users safe on the platform. Working alongside an established Trust & Safety AI team, you'll partner with product managers, data scientists, engineers, and analysts to build, deploy, and improve detection systems that have a direct, measurable impact on user safety. This is a high-ownership IC role on a small team with a large mission. You'll own the end-to-end lifecycle of ML projects, contribute to a growing portfolio of AI-powered safety features, and grow alongside senior engineers, all while playing a foundational role in how Hinge applies machine learning to give users a safer experience on their journey to find intimate connection.Responsibilities Build, deploy, and maintain end-to-end machine learning models that detect policy violating actors, remove harmful content, and keep users safe. Own medium-sized projects end-to-end (from problem scoping and data collection to training, deployment, monitoring, and iteration). Contribute to scalable inference and data pipelines (e.g., Spark, Kubernetes), including preprocessing, batch and real-time inference, and post-processing components. Apply standardized performance metrics, testing protocols, and evaluation processes to measure model effectiveness and identify risks. Continuously assess and refine deployed models using user feedback, business impact signals, and emerging policy and ethical considerations. Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform team to ship coordinated user safety improvements. Stay current on advances in AI/ML, particularly LLMs and evaluation methods, and apply appropriate techniques to detection and user safety problems. What We're Looking For Strong programming skills: Proficiency in Python and SQL, comfort with at least one ML stack (e.g., PyTorch, Hugging Face Transformers), and a working understanding of data pipelines. Domain expertise: Solid understanding of machine learning, deep learning, and emerging AI techniques. Track record of building, debugging, and fine-tuning ML models for user-facing products. Experience with content classification, fraud detection, or related Trust & Safety problems is a plus. System design & architecture: Experience training and deploying ML models in production. Working understanding of distributed computing for inference and training. AI application: Hands-on with AI agents, RAG, structured outputs, and function/tool calling. Understands when to reach for an agent or LLM vs. a classical ML approach. Evaluation frameworks for ML and LLM systems: Comfort designing and running evaluations to measure model effectiveness, fairness, and safety across both classical ML and LLM systems. Familiar with golden datasets, LLM-as-judge patterns, precision/recall/F1, false positive rates, hallucination, and offline/online metrics. Cloud and data platform proficiency: Hands-on with at least one cloud environment (GCP, AWS, or Azure). Familiarity with Databricks, Ray, or Kubeflow is a plus. Data engineering knowledge: Comfortable handling large datasets, including cleaning, preprocessing, and storage, and contributing to batch and streaming pipelines orchestrated with tools like Databricks or Argo. Project ownership: Demonstrated ability to drive medium-sized projects to completion, identify and unblock yourself on technical issues, and ship measurable outcomes with limited oversight. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Strong written communication: The ability to communicate complex ideas and technical knowledge through Prior Experience 2+ years of experience as an MLE, applied scientist, or data scientist (depending on education). 1+ years of experience applying end-to-end machine learning models in an industry setting — including data collection, model training, deployment, and monitoring. Experience integrating or evaluating LLMs in real-world applications with appropriate baseline metrics and evaluation methodologies is a plus. Familiarity with at least one ML infrastructure component (feature store, training environment, model serving, observability, workflow orchestrator). Previous exposure to Trust & Safety, fraud detection, content classification, or compliance is preferred but not required. Demonstrated use of modern AI tooling in their actual workflow (e.g., Cursor, Claude Code, Codex). A degree in computer science, engineering, or a related field (or equivalent practical experience). As a member of our team, you’ll enjoy:401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.At Hinge, our core values are…Authenticity: We share, never hide, our words, actions and intentions.Courage: We embrace lofty goals and tough challenges.Empathy: We deeply consider the perspective of others.Diversity inspires innovationHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

🏢 Summary: Opportunity to lead the development of a cross-platform mobile app built with Kotlin Multiplatform for Android and iOS, taking full ownership of architecture, shared components, and UI/UX patterns. The role involves close collaboration with backend and design teams to deliver scalable, high-performance mobile experiences. You will shape the technical foundations of the product as part of the founding engineering team. 🗂️ Requirements: 4+ years of Android development experience, Strong proficiency in Kotlin, Production experience with Jetpack Compose, Hands-on experience with Kotlin Multiplatform, Experience with mobile architecture patterns (MVI or MVVM), Experience designing mobile app architecture, Experience integrating mobile apps with backend APIs 📃 Skills: Kotlin, Android, iOS, Jetpack, Compose, KotlinMultiplatform, MVI, MVVM, REST, API 🏢 Description: About the company We are a new AI startup, recently funded, creating the next generation of digital experiences for collectibles and trading cards, like game cards, sports cards, and more. The company was started by two experienced entrepreneurs who have built and grown successful companies before, including a gaming unicorn. We are now forming our founding engineering team. This team will help shape the product, company culture, and engineering standards. We use modern tools, LLM-assisted development, automation, and fast iteration. We are looking for smart and motivated engineers who enjoy working with less guidance, more ownership, and some uncertainty. Most of our work happens on-site. About the role You will take full responsibility for our mobile app, built with Kotlin Multiplatform for both Android and iOS. You will help design the app’s architecture, set UI/UX patterns, and work closely with backend and design teams. What you’ll do Build the main app in Kotlin Multiplatform for Android and iOS Set up clean architecture patterns and shared components across platforms Work with backend to create mobile-friendly APIs and data structures Collaborate with design to make smooth, polished, and fast user experiences Who you are 4+ years of Android development experience, strong in Kotlin Experience with Jetpack Compose in production or serious side projects Experience with Kotlin Multiplatform Comfortable with client architecture patterns (MVI, MVVM, etc.) Take ownership and have a good product sense Enjoy creating UI experiences with care, speed, and quality What it’s like to work here High ownership, low bureaucracy Chance to shape company culture and the codebase from the start Work directly with founders and product team Competitive salary and meaningful equity Fast-paced environment, no silos, no drama

🏢 Summary: Leadership role responsible for owning and delivering high-quality mobile SDKs across Android and iOS, ensuring reliable releases, data integrity, and compliance while aligning engineering execution with business needs. The role combines hands-on technical oversight with team management, focusing on SDK stability, telemetry accuracy, and scalable third-party integrations. Success is measured by predictable releases, strong data quality, and effective adoption of AI-augmented engineering workflows. 🗂️ Requirements: 8+ years of mobile engineering experience, Leadership experience managing mobile engineers, Strong production experience in Android and iOS ecosystems, Deep expertise in at least one of Android or iOS, Strong SDK development experience including third-party integrations, Strong SQL proficiency, Experience with Python for data analysis, Experience with Git-based workflows and CI/CD pipelines, Experience with mobile observability and crash reporting tools, Understanding of telemetry and schema change management, Knowledge of networking fundamentals (TCP, UDP, QUIC, latency, TTFB), Experience with privacy and compliance requirements (GDPR, CCPA/CPRA, App Store, Google Play), Experience with experiment design and release validation practices, Degree in Computer Science, Software Engineering or equivalent experience 📃 Skills: Kotlin, Swift, Android, iOS, SQL, Python, Git, CI/CD, GitHub, Sentry, Firebase, Crashlytics, TCP, UDP, QUIC, GDPR, CCPA, CPRA 🏢 Description: How You Will Make an Impact You will be the clear, trusted owner for all things mobile at Opensignal, leading our iOS and Android SDK teams to deliver high-quality software that powers critical data products. You will align external business needs with engineering execution, ensure predictable releases, and protect data continuity and quality across first-party and third-party integrations. Our products rely on our ability to measure network performance accurately and consistently from our mobile apps and SDKs. Evolving our platform in step with business requirements and operating system changes is a critical success factor for this role. You will also help the team adopt AI in a pragmatic, safe, and outcomes-focused way, improving engineering velocity without compromising quality, privacy, or data integrity. Your impact will be measured by reliable on-time releases, stable SDK behavior in partner apps, strong stakeholder confidence, and zero major data outages or data perturbations. Early success includes smooth onboarding and delivery of new platform support (including Android 17 and upcoming iOS releases) without regression to data quality, alongside clear progress in AI-augmented engineering workflows and platform evolution that keeps pace with product needs. Primary Responsibilities Lead and directly manage the mobile engineering organization (currently 3 Android and 2 iOS engineers), including delivery planning, performance, coaching, and hiring support as needed. Serve as the primary cross-functional point of contact for mobile engineering with business, product, and data partnership stakeholders. Own end-to-end mobile release lifecycle management for our SDKs and related apps, ensuring high release quality and predictable delivery. Drive execution across first-party integrations (Opensignal app, Meteor app, ONX Connect) and third-party partner integrations that run our SDK at scale. Establish and enforce strong data-change discipline so SDK changes do not unintentionally alter critical metrics, schemas, or downstream product behavior. Lead experiment rollout and validation practices (feature flags, quality checks, and post-release verification) to confirm behavior changes as expected. Maintain compliance and policy alignment across privacy and platform requirements, including GDPR, CCPA/CPRA, Apple App Store, and Google Play policies. Drive pragmatic adoption of AI-augmented workflows across coding, QA, and data analysis, with clear guardrails for safety, privacy, security, and verification. Stay hands-on where valuable (technical reviews, architecture decisions, and targeted implementation support), while operating primarily as a manager and delivery owner. Knowledge & Skill Typically 8+ years of experience in mobile engineering, including meaningful leadership experience managing engineers and cross-functional delivery; equivalent depth of experience from non-linear career paths is also valued. Strong production experience across Android and iOS ecosystems, with deep expertise in at least one platform and demonstrated leadership capability across both. Strong SDK development experience (not only app development), including integration and maintenance in third-party applications. Strong data literacy, including SQL proficiency, ability to work with Python for analysis, and practical experience in data quality monitoring. Experience with experiment design and validation in software releases, especially where data integrity is business-critical. Strong understanding of telemetry/schema change management and the downstream impact of data contract changes. Solid networking fundamentals and practical experience relevant to mobile measurement use cases (for example TCP/UDP/QUIC behavior, packet flow timing, latency, and time-to-first-byte concepts). Demonstrated ability to communicate clearly with technical and non-technical stakeholders and translate business needs into execution plans. Experience operating within privacy, compliance, and platform-policy constraints for mobile SDKs. Proactive, curious mindset toward AI and modern engineering practices, with demonstrated judgment in adopting new tooling responsibly. We recognize that excellent candidates may not match every listed qualification exactly. If this role aligns with your strengths and experience, we encourage you to apply. Tools & Education Required: production experience with Kotlin and Swift. Required: experience with Git-based development workflows and CI/CD release pipelines (We use Github Actions). Required: experience with observability and crash tooling used in mobile environments (for example Sentry, Firebase, Crashlytics). Required: strong SQL proficiency. Preferred: Python for data analysis and validation workflows. Preferred: experience with feature flag rollouts, emulator/device testing strategies, and release validation frameworks. Preferred: experience with AI-assisted engineering tools/workflows and defining safe usage standards for teams. Education: degree in Computer Science, Software Engineering, or equivalent practical experience. About Us Opensignal is the leading global provider of independent insight and data into network experience and market performance. Our user-centric approach allows communication providers to constantly improve their network and maximise commercial performance. Leading analysts, investors and financial institutions place a high value on our independent analysis and we are regular contributors to their reports. Real network experience is our focus and ultimately that’s what influences customer choice. Our mission is to advance connectivity for all and here at Opensignal, the team is leading the industry in enabling operators to link their network experience and market performance in a way that has never before been possible. With offices in London, Boston Victoria, British Columbia, and Warsaw, and employees around the world, we are a truly global organization. We are an equal-opportunity employer dedicated to building an inclusive and diverse workforce. Benefits We believe we are stronger when we not only celebrate our many differences, values, and voices but include them in everyday practice. Having a diverse and inclusive culture is essential, which is why we offer a flexible approach to work-life balance, operating in a remote-hybrid way. We also offer an attractive range of additional benefits, including: 95% remotely - the team meets in the Warsaw office for 1 day/month Summer party and other social events Comprehensive private health care package for you and your family (dental care included) Multisport Card

🏢 Summary: Senior Android Engineer role focused on owning complex features end-to-end in a large-scale Kotlin app, from ambiguous requirements through experimentation to production rollout. The position emphasizes architectural excellence, codebase health, testing quality, and mentoring while working with modern Android technologies. You will drive technical improvements, ensure high UX standards, and solve complex production and performance challenges. 🗂️ Requirements: Proven experience shipping production-scale Android apps, Deep knowledge of Android internals and lifecycle, Strong Kotlin expertise, Experience with Jetpack Compose in production, Experience with Coroutines and asynchronous programming, Experience with Hilt for dependency injection, Experience with Android Navigation component, Ability to design modular and scalable architectures, Strong focus on testing and testability, Experience diagnosing and resolving complex production issues, Ability to mentor engineers through code reviews, Understanding of CI pipelines and build systems, Security-focused engineering mindset 📃 Skills: Kotlin, Android, Compose, Coroutines, Hilt, Navigation, JNI, Python, Bash, CI, A/B, Testing, Architecture, Performance, Security 🏢 Description: Our Android team does all it can to make you fall in love with our product on Android marketplaces. They specialize in everything that goes into designing an application from A to Z and are eager to turn all the innovations into a bug-free reality. The Android Development team creates experiences that users enjoy while maintaining the highest quality of our app. They challenge themselves with new projects and learn along the way. So if you’re up for this challenge, read along! If you want to: Own complex features end-to-end - from ambiguous requirements through A/B experimentation to production rollout; Work on a large-scale Kotlin Android app with Compose, Coroutines, Hilt, and Navigation component; Raise the quality bar for the whole team - push for testability, contribute to test infrastructure, and make sure "it works on my machine" is never the standard; Mentor engineers through code reviews and pair programming, teaching the "why" behind architectural decisions; Hunt down technical debt, flaky builds, and legacy pain points, treating codebase health as seriously as new features; Champion UX quality and refuse to ship unstable or half-baked interfaces; Dive fearlessly into unfamiliar territory - JNI, Python, Bash, reverse engineering; Drive improvements in ways of working - from AI-assisted development to CI pipelines. And you can check off: A track record of architecting and shipping production Android apps at scale; Deep knowledge of Android internals - lifecycle, framework behavior, performance characteristics; Experience designing modular, scalable codebases with clear architectural patterns; A testing mindset that goes beyond your own code - you've reviewed for testability, improved automation, or redefined what "tested" means on your team; Proven ability to diagnose and resolve complex production issues - performance bottlenecks, root cause analysis, system-level troubleshooting; Experience mentoring engineers and raising quality standards through the review process; Experience managing stakeholder expectations - you scope work realistically, surface risks before they become surprises, and don't over-promise; A security-conscious engineering mindset. Here's the deal: Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development; Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts, a physical coach and a gym to regular mental health checks; Tools of your choice: choose technical equipment and the tools you need to do your best; Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations; Convenient commuting: traveling from point A to point B can be a pain. That’s why, depending on your unique circumstances, we compensate part of your public transport costs; Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world; Premium Surfshark accounts: for you, your family, and friends;

🏢 Summary: The role is for an iOS Engineer contributing to core mobile features across Math, Notifications, or Core App Performance teams, building and optimizing native iOS applications used by millions of learners. The position involves end-to-end feature development, performance improvements, experimentation, and collaboration with cross-functional teams. Engineers are expected to deliver production-quality Swift code and help drive technical excellence. 🗂️ Requirements: Bachelor's degree in Computer Science or related technical field, Strong foundation in data structures, algorithms, and software design, Professional programming experience in Swift, Experience developing native iOS applications, Ability to design clean and maintainable APIs, Experience with multithreaded programming, Experience writing unit tests and testable code, Knowledge of iOS performance optimization tools and techniques 📃 Skills: Swift, iOS, Cocoa, CocoaTouch, SDK, Xcode, Multithreading, UnitTesting, APIs, Algorithms, DataStructures 🏢 Description: Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in! At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You'll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that's both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role We are hiring for multiple levels for any one of the following teams. Leveling is usually determined once all interviews are completed. Math Team As an iOS engineer on the Math team, you will help build the technology that changes how people around the world learn Math. The features that you ship will help learners to develop core math skills in a fun, engaging way. We're looking for engineers who love building new products and features. Notifications TeamAs an iOS engineer on the Notifications team, you will build features that empower learners to build long-term habits by improving how we schedule, personalize, and deliver notifications. You will design and implement meaningful notification experiences while collaborating with backend, data science, and product teams. Notifications are fundamental to Duolingo, and we're looking for engineers who are energized about experimenting and shipping features end-to-end. Core App Performance TeamThe Core App Experience team is in charge of improving the user experience in core flows of the iOS and Android apps to drive user growth. Sitting in between the intersection of technical and product work, you will drive technical improvements in app open, session start and end, and improving the offline experience. We're looking for engineers who are willing to deep dive into the codebase and provide their suggestions on how to improve the everyday experience of our users. You will... Collaborate on software projects with product design and backend aspects Develop, release, and maintain native iOS applications, primarily in Swift Mentor and set technical direction for junior engineers across the company ✅ You have... A Bachelor's degree in Computer Science or a related technical field A solid foundation in computer science with strong competencies in data structures, algorithms, and software design Programming experience in Swift ⭐ Exceptional candidates will have... Strong proficiency in Swift, with proven ability to build and maintain production-level applications Strong technical knowledge of iOS mobile application development for iPhone/iPad using Swift with Cocoa Touch and related frameworks Experience designing clean and maintainable APIs Experience with multithreaded programming Experience writing unit tests and testable code Knowledge of iOS SDK performance tools and optimization techniques We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.Salary Range: $177,700—$240,400 USDTake a peek at how we care for our employees' holistic well-being with our benefits here. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice. Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. Sign up for job alerts here.

🏢 Summary: Android Developer role focused on building a passwordless authentication platform used by millions worldwide. You will develop core mobile features end-to-end, ensuring secure data flows, high code quality, and robust architecture. The position emphasizes Kotlin expertise, security, and scalable solutions in a modern Android environment. 🗂️ Requirements: 6–8 years of commercial experience in Android development, Strong Kotlin knowledge, Experience with Coroutines and Flow for concurrency, Understanding of modern Android architecture and design patterns, Ability to write highly testable code, Knowledge of Android security concepts, Experience with secure data storage and cryptography basics, Experience using AI tools for coding, testing, or documentation 📃 Skills: Android, Kotlin, Coroutines, Flow, Architecture, DesignPatterns, Testing, Security, Keystore, Biometrics, Cryptography, DataStorage, AI 🏢 Description: About Us At Framna (formerly Bright Inventions), we partner with ambitious brands to create digital products that make a meaningful impact. We work across the full product journey, from strategy and UX to engineering and long-term growth, combining technical expertise with a strong product mindset. Together with our partners, we build solutions that users rely on every day. Our culture is built on trust, ownership, and fearless collaboration. We challenge ideas, support each other, and keep learning-openly sharing feedback, staying flexible in how we work, and approaching each other with empathy. Because the best products are created by teams that move forward together. About the Role We are building a passwordless authentication platform used by millions of users worldwide. The product focuses on secure digital identity, combining biometrics, document verification, and data processing to enable effective,  one-tap authentication. As an Android Developer, you will work on a core part of the mobile applications building features end-to-end, and handling secure data flows. There is a strong focus on code quality, architecture, and security. We are looking for someone with solid Kotlin fundamentals, who understands what is happening under the hood and takes ownership of their work. If you’re interested in security and enjoy solving real technical challenges at scale, this role should be a good fit. We work in a hybrid model, with occasional on-site meetings to stay aligned as a team. Preferred Skills & Qualifications at least 6-8 years of commercial programming experience in Android development very good working knowledge and deep understanding of Kotlin (including Coroutines/Flow for complex concurrency management) strong understanding of modern Android architecture, design patterns, and writing highly testable code familiarity with Android security concepts (e.g., Android Keystore, Biometric API, cryptography basics, or secure data storage) pragmatic approach to software design, with a focus on building scalable and maintainable foundations for greenfield projects experience with AI tools for coding, testing, and documentation strong collaborative mindset with a willingness to share knowledge and mentor other developers (e.g., through pair programming) ability to work independently and proactively within a distributed team very good level of English (both written and spoken) very good level of Polish (we work in an international environment, but within the company, we communicate in Polish) Nice to Have any practical experience with other mobile technologies, ex. Swift, Flutter, KMP or React Native What you will find at Framna Real ownership and influence on the products you build A focus on business value over technical perfection Continuous feedback and open, honest communication Regular 1:1s and a mentoring program to support your growth Internal workshops and knowledge sharing across teams Flexible working hours (you can start between 7:00–10:00) Hybrid model with regular in-studio collaboration (Gdańsk, Wrzeszcz) High-quality equipment, including MacBook and testing devices Individual training budget English classes in small groups Plus the essentials: Private medical care (Compensa) and MultiSport Team gatherings and shared moments beyond work If you are motivated by ownership, collaboration, and continuous improvement, and you enjoy solving real problems with a team you can rely on—you will feel at home at Framna. Let’s build impactful products together.

🏢 Summary: Automation Quality Engineer role focused on designing, building, and maintaining scalable automated testing solutions for Android mobile applications using Appium, Java, and Kotlin. The position involves close collaboration with developers to ensure high product quality through robust automation frameworks, CI/CD integration, and comprehensive test strategies. The role supports fast, reliable releases for mobile products used by millions worldwide. 🗂️ Requirements: 3+ years of practical experience in QA or test automation, Strong experience in Android mobile testing, Hands-on experience with Appium for mobile automation, Proficiency in Java and/or Kotlin, Understanding of mobile app architecture and lifecycle, Experience with API testing and backend validation, Ability to write and execute SQL queries for data validation, Experience with debugging tools (Android Studio Logcat, Chrome DevTools, Postman or Charles Proxy), Knowledge of testing methodologies (functional, regression, integration, exploratory), Familiarity with Agile workflows and defect tracking tools 📃 Skills: Android, Appium, Java, Kotlin, SQL, API, CI/CD, Jenkins, GitHub, GitLab, Logcat, ChromeDevTools, Postman, CharlesProxy 🏢 Description: At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered. Automation Quality Engineer Join our Warsaw Tech Hub as a Quality Engineer (Automation) to design, build, and maintain scalable automated testing solutions for Android mobile applications using Appium, Java, and Kotlin. You’ll collaborate closely with developers to ensure high product quality, contributing to automation frameworks, CI/CD pipelines, and test strategies that support fast, reliable releases. If you’re passionate about clean code, mobile testing, and automation, and want to impact products used by millions worldwide, we’d love to hear from you. Why Join Us? At Digital Turbine, we invest in our people. Join us and enjoy a premium compensation package including: Competitive salary and RSU program (stock options) A hybrid work model and a time-off policy to keep you refreshed Comprehensive family medical insurance and a flexible tech & wellness allowance At Digital Turbine, we are committed to pay transparency and equitable compensation. The salary range for this position is 125,000 - 183,000 PLN gross/year. Key Responsibilities Design and execute test scenarios for Android mobile features, including edge cases. Build and maintain stable mobile automation tests using Appium (Java/Kotlin). Debug issues using Android Studio, Logcat, and network tools to identify root causes. Improve automation frameworks and expand test coverage. Collaborate with developers to reproduce issues and validate fixes. Write clean, maintainable automation code and follow best practices. Own testing for small to medium mobile features end-to-end. Qualifications and Technical Knowledge Practical experience (3+ years). Strong experience in mobile testing (Android), including understanding of mobile app architecture and lifecycle. Hands-on experience with Appium for mobile test automation. Proficiency in Java and/or Kotlin for writing and maintaining automation tests. Solid understanding of mobile-specific testing challenges (network conditions, device fragmentation, OS versions, performance constraints). Experience with API testing and backend validation to support mobile testing. Proficiency in SQL queries for test data validation. Experience with debugging tools such as (Android Studio Logcat, Chrome DevTools or Postman / Charles Proxy). Strong understanding of testing methodologies (functional, regression, integration, exploratory). Familiarity with Agile workflows and defect tracking tools. Nice to have: Bachelor’s degree in Computer Science, Engineering. Experience working with Android Studio (log analysis, debugging, emulator/device configuration). Working knowledge of CI/CD pipelines and integration of mobile automation (e.g., Jenkins, GitHub Actions, GitLab CI). Experience with test automation frameworks design and maintenance. About Digital Turbine: Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices. The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets. We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024. Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators. Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice .