Member of Technical Staff - Voice Product

🏢 Summary: Engineering role focused on integrating Grok AI models into a large-scale advertising platform across bidding, ranking, auction, campaign optimization, and advertiser experience. The position involves building and operating high-throughput AI-powered ad systems that directly impact core revenue generation. Candidates are expected to contribute hands-on in a fast-paced engineering environment with strong ownership responsibilities. 🗂️ Requirements: 3+ years of industry experience, Experience with large-scale AI-powered advertising products, Experience with high-throughput systems, Experience with advertising systems across bidding, auction, marketplace, ranking, or prediction, Strong communication skills, Ability to operate and own production systems 📃 Skills: AI, Grok, Ads, Bidding, Auction, Marketplace, Ranking, Prediction, Optimization 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We're looking for exceptional engineers who want to join us on a new project to integrate Grok into all parts of our Ads Platform. We're looking for individuals who have built exceptional advertising products and systems at a massive scale across bidding, auction, marketplace, ranking, prediction, and product. We're bringing xAI's technology stack to Ads Platform and using it to transform our advertising stack. RESPONSIBILITIES: - Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. - Own and operate systems and products, driving the majority of revenue. BASIC QUALIFICATIONS: - 3+ years of industry experience working on large-scale, high-throughput AI-powered advertising products. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search infrastructure and ML-powered retrieval systems for X. The position involves developing search algorithms, training ranking models, and integrating Grok capabilities into search products using modern backend and machine learning technologies. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases, Experience with search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build scalable search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Ranking, Databases, Indexing, Grok 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search infrastructure and intelligent retrieval systems powered by machine learning and Grok integration. The position involves developing scalable search algorithms, training ranking models, and improving end-to-end search experiences for millions of users in a fast-paced environment. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases or search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build and operate search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments, Strong communication skills 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Grok, Databases 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search systems powering discovery on X, including retrieval, indexing, ranking, and ML-driven search experiences. The position involves developing scalable search infrastructure, training ranking models, and integrating Grok reasoning capabilities into search products. Candidates should have strong experience with production ML systems and large-scale search technologies. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases or search indices, Experience building large-scale search systems, Experience with production ML systems, Ability to take ownership of technical problems, Ability to work in fast-paced environments with shifting priorities 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Databases, Infrastructure, Grok 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of our total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Product Safety Engineer role focused on building scalable safety systems for multimodal AI media generation, including content moderation, risk detection, and evaluation frameworks for Grok users worldwide. The position involves developing real-time safety infrastructure, collaborating across engineering and research teams, and ensuring responsible deployment of AI-generated images, video, and audio at global scale. Compensation includes competitive salary, equity, and comprehensive benefits. 🗂️ Requirements: Proficiency in Rust, Experience building production safety or content moderation systems at scale, Expertise in real-time detection systems or high-throughput AI data pipelines, Ability to deliver reliable, scalable systems for millions of users, Strong problem-solving skills for AI safety challenges, Commitment to responsible AI development, Experience with multimodal or generative AI safety, Knowledge of distributed systems and real-time inference infrastructure 📃 Skills: Rust, Kubernetes, AI, ML, Inference, Observability, Moderation, Pipelines, DistributedSystems, RedTeaming, Classifiers, Audio, Video, Images 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Imagine team is redefining AI-driven media experiences for Grok users worldwide. As a Product Safety Engineer on the Imagine team, you will build the critical safety systems and infrastructure that ensure Grok's multimodal generation capabilities (images, video, audio, and beyond) are powerful, delightful, and responsibly deployed. You'll design and scale safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. Your work will directly shape how millions of users experience generative media — balancing rapid innovation with rigorous safety, trustworthiness, and alignment with xAI's mission. If you're a driven engineer passionate about AI safety, content integrity, and building robust systems that protect users without stifling innovation, this is your opportunity to make a lasting impact at the frontier of multimodal AI. RESPONSIBILITIES: - Design and implement scalable safety systems for Grok's media generation platform, including real-time content moderation, risk detection, and safeguard enforcement for images, video, and audio. - Build infrastructure to measure, monitor, and mitigate safety risks such as harmful content, bias, deepfakes, intellectual property issues, and misuse at global scale. - Develop tools, pipelines, and evaluation frameworks that enable rapid iteration on safety policies in collaboration with researchers, product, and policy teams. - Architect robust feedback loops between user interactions, model outputs, and training data to continuously improve safety while maintaining high performance and low latency. - Own full-cycle development of safety features: from problem definition and prototyping to deployment, monitoring, incident response, and long-term refinement. - Partner closely with the Imagine engineering, research, and product teams to embed safety into core features and deliver delightful yet responsible user experiences. BASIC QUALIFICATIONS: - Proficiency in Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code. - Experience designing and building production safety, trust & safety, or content moderation systems for consumer-facing products at scale. - Hands-on expertise developing real-time detection systems, data pipelines, or evaluation frameworks for high-throughput AI applications. - Proven ability to deliver robust, reliable solutions that reach millions of users while maintaining high standards of uptime and performance. - Strong problem-solving skills and a passion for turning complex safety challenges into practical, high-impact engineering solutions. - Deep enthusiasm for responsible AI development and a commitment to building systems that advance humanity's understanding while protecting users. PREFERRED SKILLS AND EXPERIENCE: - Experience with multimodal content safety (images, video, audio) or generative AI safety in production environments. - Familiarity with machine learning classifiers, safety evaluation, red-teaming, or adversarial testing for media generation models. - Background in distributed systems, real-time inference serving, Kubernetes, observability tools, or large-scale data infrastructure. - Track record collaborating across engineering, research, and policy teams to ship safety-critical features quickly and effectively. - Previous work on content moderation, anti-abuse, model alignment, or responsible AI at consumer AI products. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Software Engineer role focused on building and scaling a high-volume consumer platform with end-to-end ownership across frontend, backend, infrastructure, and AI integrations. The position involves developing distributed systems, microservices, analytics, and real-time features for products used by hundreds of millions of users. Candidates should have experience with large-scale applications, low-latency systems, and modern backend technologies. 🗂️ Requirements: 2+ years experience with large-scale consumer applications, Proficiency in distributed systems, Experience with high-scale low-latency environments, Experience with backend services and APIs, Experience with high-volume streaming systems, Strong communication skills, Ability to work in high-concurrency environments 📃 Skills: Rust, Go, Python, Java, APIs, Microservices, iOS, Android, Web, AI, Streaming, Analytics 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As a Software Engineer for X Product/Platform, you'll join the thirty person team responsible for building and scaling X. You will be tasked with independently owning significant parts of the system end-to-end: from intuitive user interfaces to robust backend services, data infrastructure, and deep AI integrations. This is a unique opportunity to impact while creating products that are loved by 600M+ users globally. RESPONSIBILITIES: - Develop backend services, APIs, and data models to support high-volume, multi-user environments. - Work with iOS, Android & Web client engineers to ship products. - Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. - Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics. - Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. - Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: - Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. - 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience working on large scale consumer applications or early-mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user-centric design, and AI solutions. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: High-impact engineering role focused on building and optimizing large-scale AI inference systems for serving Grok at massive scale. The position involves distributed infrastructure, GPU-level optimization, inference acceleration, and reliability engineering for high-concurrency production environments. Candidates will work end-to-end on scalable model serving, CI/CD infrastructure, and next-generation inference optimization. 🗂️ Requirements: Deep low-level systems programming in C/C++ or Rust, Experience with large-scale high-concurrency production serving, Experience with GPU inference engines, Strong background in batching, caching, load balancing, and parallelism, Experience with GPU kernels and code generation, Knowledge of quantization, speculative decoding, distillation, and low-precision numerics, Experience with testing, benchmarking, and reliability of inference services, Experience designing and implementing CI/CD infrastructure for inference 📃 Skills: C++, Rust, vLLM, SGLang, Triton, TensorRT-LLM, GPU, CI/CD, Quantization, Distillation, Caching, Batching, Parallelism, Load-balancing, Autoscaling 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale. Responsibilities: - Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). - Optimize latency and throughput of model inference under real production workloads. - Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. - Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). - Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels. - Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. - Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. Basic Qualifications: - Deep low-level systems programming (C/C++ or Rust) - Experience with large-scale, high-concurrent production serving - Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.) - Strong background in system optimizations: batching, caching, load balancing, parallelism - Low-level inference optimizations: GPU kernels, code generation - Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics - Experience with testing, benchmarking, and reliability of inference services - Experience designing and implementing CI/CD infrastructure for inference Compensation and Benefits: - $180,000 - $440,000 USD - Equity compensation - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: AI Tutor role focused on multilingual audio data annotation, transcription, and voice-based AI training to improve speech recognition and spoken interactions across languages and accents. The position involves working with audio datasets, evaluating speech quality, and collaborating on annotation workflows for AI systems. Remote opportunities are available globally with flexible employment arrangements depending on project needs. 🗂️ Requirements: Native Dutch proficiency, English proficiency at B2 level or higher, Experience with multilingual audio content, Accurate audio transcription skills, Ability to analyze accents and speech nuances, Capability to provide voice recordings, Strong auditory perception, Ability to evaluate noisy or accented speech, Strong analytical and organizational skills, Eligibility to work remotely without visa sponsorship, Access to Chromebook, macOS 11+, or Windows 10+ device 📃 Skills: Dutch, English, Transcription, Annotation, Audio, Speech, Linguistics, Phonetics, Phonology, Sociolinguistics, AI, Recording, Prosody, macOS, Windows, Chromebook 🏢 Description: ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to the mission by training and refining AI systems to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details such as intonation, rhythm, and accent, and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Dutch with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding of high-quality audio data. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features such as intonation, stress, rhythm, and emotion with high consistency and accuracy. - Background in linguistics, speech sciences, cognitive science, or a related field, or equivalent practical experience. - Experience working with speech or audio datasets, annotation workflows, or AI training data. - Knowledge of training voice models and understanding how data quality impacts model performance. - Professional experience in voice work such as voice acting, voice recording, podcasting, or similar audio production. - Ability to exercise independent judgment in ambiguous audio scenarios and make consistent annotation decisions. - Portfolio with voice samples, annotated transcripts, or audio-related work is strongly preferred. LOCATION AND OTHER EXPECTATIONS: - Roles may be offered as full-time, part-time, or contractor positions. - Contractor hours vary based on project scope and availability, with many projects averaging at least 10 hours per week. - Roles may be performed remotely worldwide, subject to legal eligibility and role-specific needs. - US-based candidates in Wyoming and Illinois are not eligible. - Visa sponsorship is not available. - Personal devices must use ChromeOS, macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: - US-based candidates: $35/hour - $45/hour depending on experience, skills, education, location, and qualifications. - International compensation details provided during recruitment. - Eligible US-based positions may include health insurance, 401(k), and paid sick leave.

🏢 Summary: Data Engineer role focused on building and operating large-scale realtime and batch data platforms that process billions of events daily. The position involves developing distributed data pipelines, analytics infrastructure, and internal data products while collaborating across product, AI, and business teams. Candidates should have strong experience in distributed systems, data processing frameworks, and backend programming languages. 🗂️ Requirements: 3+ years of professional software engineering experience, Experience in data engineering or distributed systems, Hands-on expertise in Python, Rust, Scala, Go or Java, Knowledge of Spark, Knowledge of Kafka, Knowledge of Flink, Knowledge of SQL, Experience with RDBMS and NoSQL storage systems, Experience solving large-scale engineering problems, Ability to translate product requirements into engineering implementation plans, Strong cross-functional communication skills 📃 Skills: Python, Rust, Scala, Go, Java, Spark, Kafka, Flink, SQL, BigQuery, Trino, Clickhouse, Scalding, RDBMS, NoSQL 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. RESPONSIBILITIES: You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will: - Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. - Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance. - Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data. - Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly. - Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments. - Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement. - Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions. BASIC QUALIFICATIONS: - 3+ years of professional software engineering experience, ideally in data engineering or distributed systems. - Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline tooling and distributed systems. - Knowledge of realtime and batch data processing tools such as Spark, Kafka, Flink, SQL and various storage systems in RDBMS and NoSQL. - Experience solving large scale problems and building new systems for future quality improvements. - Proven ability to interpret product requirements into engineering implementation plans. - Effective communication skills across AI, product, marketing, sales, and engineering teams. COMPENSATION AND BENEFITS: - $125,000 - $400,000 USD base salary - Equity package - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Role for an exceptional software engineer to tackle the company’s highest-priority AI and technical challenges in a hands-on, high-performance environment. The position emphasizes engineering excellence, initiative, strong communication, and alignment with truth-seeking AI research. Compensation includes high base salary, equity, and comprehensive benefits. 🗂️ Requirements: Exceptional software engineering skills, Strong communication skills, Ability to work hands-on on critical technical challenges, Experience thriving in meritocratic environments, Strong prioritization and initiative, Interest in truth-seeking AI systems 📃 Skills: AI, Software, Engineering 🏢 Description: ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: • You believe truth-seeking AI is the most important and challenging problem. • You take pride in your work and thrive in meritocratic environments. • You are an exceptional software engineer. COMPENSATION AND BENEFITS: • $180,000 - $440,000 USD • Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. • Equal opportunity employer.