Software Engineer, ML Dev Enablement

🏢 Summary: Software Engineer role focused on modernizing a mission-critical aviation platform by developing cloud-hosted backend services and scalable cloud-native solutions in AWS. The position involves backend modernization, Kubernetes and container management, CI/CD automation, and operational reliability improvements in a distributed engineering environment. The role offers hybrid work flexibility, B2B or UoP employment, and benefits including healthcare and life insurance. 🗂️ Requirements: Experience developing backend applications in cloud environments, Strong knowledge of AWS and cloud-native architectures, Hands-on experience with Linux, Hands-on experience with Docker, Hands-on experience with Apache, Hands-on experience with Java, Hands-on experience with Spring Boot, Experience with Kubernetes and containerized workloads, Experience with CI/CD, Experience with Infrastructure as Code, Experience with automation, Understanding of cloud security, Understanding of monitoring and production support practices, Strong troubleshooting and problem-solving skills, Ability to work independently and collaborate within distributed teams, English level B2 or higher 📃 Skills: AWS, Linux, Docker, Apache, Java, Spring, Kubernetes, CI/CD, IaC, Automation, SQL, MySQL, Security, Monitoring 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Strong knowledge of AWS and cloud-native architectures Hands-on experience with Linux, Docker, Apache, Java and Spring Boot Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a month in the office in Gdańsk or less frequently, depending on your availability Salary: 190 PLN net/h - to negotiate Benefits: life insurance, private healthcare, Multisport card

🏢 Summary: The offer is for a Software Engineer to modernize and develop cloud-hosted backend services for a mission-critical aviation platform used globally. The role focuses on building scalable, resilient, cloud-native solutions in AWS, improving automation, CI/CD, and Kubernetes-based environments. You will contribute to transforming a legacy system into a modern, secure, and highly scalable ecosystem. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, PHP, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Knowledge of cloud security and monitoring practices, Ability to troubleshoot production systems, English B2 level or higher 📃 Skills: AWS, Linux, Docker, Apache, PHP, Kubernetes, CI/CD, IaC, SQL, MySQL, SQLServer, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision

🏢 Summary: Opportunity to modernize a mission-critical aviation platform by designing and developing cloud-hosted backend services in a scalable, cloud-native AWS environment. The role focuses on building resilient APIs, improving automation and CI/CD pipelines, and managing Kubernetes-based infrastructure to support global aviation data distribution. You will contribute to a large-scale modernization initiative emphasizing scalability, security, and operational excellence. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, and PHP or Java, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Understanding of cloud security, monitoring, and production support practices, Strong troubleshooting and problem-solving skills, English proficiency at minimum B2 level 📃 Skills: AWS, Linux, Docker, Apache, PHP, Java, Kubernetes, CI/CD, IaC, SQL, SQLServer, MySQL, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision

🏢 Summary: Senior C++ Software Engineer role focused on building AI and ML compiler and neural network stacks for next-generation computing systems. The position involves developing and optimizing C++ and CUDA kernels for LLMs, CNNs and transformer architectures targeting GPU and AI accelerators. Candidates will collaborate with hardware and AI experts while contributing to high-performance ML infrastructure and models. 🗂️ Requirements: 5+ years of software engineering experience focused on ML/AI, 5+ years of experience with C++, 5+ years of experience with CUDA and kernel programming, Knowledge of GPU and AI-accelerator architectures, Experience building ML models with PyTorch or TensorFlow, Understanding of transformer and modern ML architectures, English proficiency at B2 level or higher 📃 Skills: C++, CUDA, PyTorch, TensorFlow, Python, GPU, ASIC, LLM, CNN, Transformers 🏢 Description: We are looking for a Senior C++ Software Engineer to join a team building the next generation of computers for artificial intelligence. The company brings together experts in computer architecture, ASIC design, advanced systems and neural network compilers, with the team focused on the compiler and neural network stack, including LLMs and CNNs. This is a key developer role within the ML & AI team. Responsibilities Write kernels in C++ for various operations used across AI and ML workloads Develop and optimize the compiler and neural network stack supporting LLMs and CNNs Collaborate with experts in computer architecture, ASIC design and advanced systems to build next-generation computing solutions Design and implement AI/ML kernel operations tailored to GPU/AI-accelerator architectures Build and maintain ML models using PyTorch or TensorFlow Ensure kernel-level performance and correctness across modern neural network architectures such as transformers Take ownership of key technical decisions as a lead developer within the ML & AI team Requirements 5+ years of experience in software engineering with a focus on ML/AI 5+ years of experience in C++ and CUDA/kernel programming Knowledge in GPU/AI-accelerator architectures Experience in building and working with ML models in PyTorch or TensorFlow Understanding of modern ML model architectures such as transformers English proficiency at B2 level or higher Nice to have Proficiency in Python programming with hands-on experience in developing, training and fine-tuning deep learning models Skills in designing, implementing and iterating on neural network architectures to achieve optimal performance on diverse tasks Capability to investigate and troubleshoot model performance issues including gaps in compilation steps and kernels Demonstrated experience in designing, training and deploying neural networks for various applications Solid understanding of machine learning fundamentals including supervised and unsupervised learning techniques We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior C++ Software Engineer role focused on developing and optimizing AI/ML compiler and neural network stacks for next-generation AI computing systems. The position involves C++ and CUDA kernel development for LLMs, CNNs and transformer architectures, collaborating with experts in GPU and AI-accelerator technologies. The offer includes hybrid or remote work flexibility, professional development programs and comprehensive employee benefits. 🗂️ Requirements: 5+ years of software engineering experience focused on ML/AI, 5+ years of experience with C++, 5+ years of experience with CUDA and kernel programming, Knowledge of GPU and AI-accelerator architectures, Experience with PyTorch or TensorFlow, Understanding of transformer and modern ML model architectures, English proficiency at B2 level or higher 📃 Skills: C++, CUDA, PyTorch, TensorFlow, Python, GPU, ASIC, LLM, CNN, Transformers 🏢 Description: We are looking for a Senior C++ Software Engineer to join a team building the next generation of computers for artificial intelligence. The company brings together experts in computer architecture, ASIC design, advanced systems and neural network compilers, with the team focused on the compiler and neural network stack, including LLMs and CNNs. This is a key developer role within the ML & AI team. Responsibilities Write kernels in C++ for various operations used across AI and ML workloads Develop and optimize the compiler and neural network stack supporting LLMs and CNNs Collaborate with experts in computer architecture, ASIC design and advanced systems to build next-generation computing solutions Design and implement AI/ML kernel operations tailored to GPU/AI-accelerator architectures Build and maintain ML models using PyTorch or TensorFlow Ensure kernel-level performance and correctness across modern neural network architectures such as transformers Take ownership of key technical decisions as a lead developer within the ML & AI team Requirements 5+ years of experience in software engineering with a focus on ML/AI 5+ years of experience in C++ and CUDA/kernel programming Knowledge in GPU/AI-accelerator architectures Experience in building and working with ML models in PyTorch or TensorFlow Understanding of modern ML model architectures such as transformers English proficiency at B2 level or higher Nice to have Proficiency in Python programming with hands-on experience in developing, training and fine-tuning deep learning models Skills in designing, implementing and iterating on neural network architectures to achieve optimal performance on diverse tasks Capability to investigate and troubleshoot model performance issues including gaps in compilation steps and kernels Demonstrated experience in designing, training and deploying neural networks for various applications Solid understanding of machine learning fundamentals including supervised and unsupervised learning techniques We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Distinguished Machine Learning Engineer role within the Autonomy Behaviors team focused on developing and deploying deep learning solutions for prediction, planning, and control in autonomous vehicles. The position involves leading large-scale ML experimentation, building production-grade models, and collaborating cross-functionally to deliver industrial-strength systems. Candidates must bring extensive experience in autonomous vehicle ML systems, deep neural networks, and large-scale model deployment. 🗂️ Requirements: BS/MS/PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Math or related field, 15+ years of experience building ML systems for autonomous vehicles or similar robotics applications, Deep understanding of large language models (LLM) and transformers, Hands-on experience building and deploying large-scale production ML systems, Experience training, optimizing, and deploying deep neural networks in PyTorch, TensorFlow, or TensorRT, Strong mathematical foundation in machine learning and deep learning, Proven leadership and innovation in ML-based planning solutions 📃 Skills: Python, MachineLearning, DeepLearning, LLM, Transformers, DNN, PyTorch, TensorFlow, TensorRT, Prediction, Planning, Control, Optimization 🏢 Description: Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, SW development, communication, interpersonal, and analytical skills. What you'll be doing: - Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Autonomous Vehicle products. - Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of solutions on real-world data. - Partnering with system software engineering specialists to ship industrial strength ML models. - Communicating and collaborating with multi-functional teams. What We're Looking For: - BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) - 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications - Deep understanding of large language models (LLM) and transformers - Hands on experience building large scale production ML systems and deploying them at scale - Excellent leadership and track record for innovation to help build the next generation of ML based planning solutions - Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.) - Excellent understanding of the mathematical foundations of machine learning and deep learning Bonus Points: - Prior experience as a ML planning lead - Proven publication record in ML for planning, vision, or related fields - Prior experience building and deploying vision language action or chain of thought models Salary Range $271,000—$373,000 USD The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Benefits: Candidates for certain positions are eligible to participate in the benefits program, including but not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus

🏢 Summary: The offer is for a Machine Learning Systems Engineer focused on optimizing large-scale distributed training systems for frontier models. The role centers on performance profiling, GPU kernel development, and improving throughput, scalability, and reliability of ML training pipelines. It directly supports accelerating model convergence through high-performance systems engineering. 🗂️ Requirements: Bachelor’s, Master’s or PhD in Computer Science, Computer Engineering or related field, Strong proficiency in Python, Extensive hands-on experience with PyTorch, Experience with distributed training using PyTorch Distributed, Experience optimizing ML model training and inference performance, Experience with GPU kernel development in CUDA or Triton, Ability to perform performance profiling and bottleneck analysis, Strong understanding of machine learning concepts and architectures 📃 Skills: Python, PyTorch, CUDA, Triton, Nsight, PyTorchDistributed, GPU, KernelFusion, Sharding, Tiling 🏢 Description: Mission Summary:We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time. Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed. Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads. Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline. Software Engineering: Strong proficiency in Python. ML Frameworks: Extensive hands-on experience with PyTorch. ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes. Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$144,000—$192,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 Summary: Senior Software Engineer role focused on building and modernizing strategic backend platforms that connect operational and regulatory systems, supporting a multiyear cloud migration roadmap. The position involves designing scalable, data-driven solutions in Java within an Agile team, leveraging cloud and DevOps practices. The role follows a hybrid model with 3 days per week onsite in Wroclaw or Krakow. 🗂️ Requirements: Bachelor’s degree in Computer Science or relevant certification, Strong back-end development experience in Java, Experience with DevOps CI/CD pipelines, Hands-on experience with Azure DevOps, GitHub, or GitLab, Practical experience with Test-Driven Development (TDD), Experience delivering solutions on Azure, AWS, or GCP, Solid understanding of cloud architecture, Knowledge of software design principles, Experience with data streaming and real-time or batch processing 📃 Skills: Java, Azure, AWS, GCP, CI/CD, AzureDevOps, GitHub, GitLab, TDD, Databricks, Kubernetes, DataStreaming, BatchProcessing, Cloud, DevOps 🏢 Description: We are looking for a Senior Software Engineer to join an agile team focused on developing strategic technology solutions that connect operations and regulatory systems. Our work plays a crucial role in enabling the client to meet regulatory obligations and unlock value from its wealth of data. The project is part of a multiyear roadmap to migrate to cloud technology and enhance existing platforms. You’ll work in a small, autonomous Agile team with colleagues across global locations, in an inclusive and collaborative environment. If you are passionate about innovation and continuous learning, we want to hear from you. This role offers a hybrid model, with 3 days per week working from the client's office in Wroclaw or Krakow. Responsibilities Design and develop strategic platform features that enable seamless trade execution flows between core systems, transforming epics and features into robust solutions Collaborate closely with agile team members during sprints to iteratively deliver product requirements Work with the product team to understand, refine, and implement required functionality Engineer solutions that leverage cloud technologies as part of a multiyear migration and modernization roadmap Develop and optimize data-driven applications, ensuring the client can unlock value from its wealth of data Utilize Java and related technologies to build scalable, high-performance backend services Requirements Bachelor’s degree in Computer Science or a relevant certification Strong back-end development experience in Java Proven experience with DevOps CI/CD pipelines and tools such as Azure DevOps, GitHub, or GitLab Solid understanding and hands-on experience with Test-Driven Development (TDD) Well-versed in cloud architecture, with delivery experience on Azure (preferred), AWS, or GCP Strong grasp of software design principles Experience working with modern technologies such as data streaming, real-time and batch processing; familiarity with Databricks and Kubernetes is a plus We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.