Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.
Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.
Research Engineer optimizes and scales production pretraining of frontier AI models, handling performance, debugging, experiments, and on-call incidents. Requires expertise in JAX, TPU, PyTorch, or large-scale ML systems with a 50/50 research-engineering balance.
Conducts experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.
Builds next-generation training environments and evaluations for agentic AI models, blending research in reinforcement learning with robust engineering implementation. Requires strong technical judgment, agency, and experience in ML systems.
Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.
Research Engineer implements and scales post-training techniques like Constitutional AI and RLHF for production AI models, optimizing capabilities, alignment, and safety. Requires strong Python skills, ML systems experience, and ability to handle complex distributed training pipelines.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.
Develop and enhance the AI Gateway platform, building unified APIs for AI models with rate limiting, failovers, and integrations. Requires 5+ years experience in JavaScript/TypeScript, backend, and distributed systems.
Develop scalable ML services for data enrichment, managing the full lifecycle from model training with PyTorch/TensorFlow to deploying optimized inference using ONNX/vLLM. Requires 5+ years experience in production ML systems, strong deployment skills, and software engineering proficiency.
Analyzes Attentive's AI products across lifecycle, partnering with PMs and engineers to measure impact via A/B tests, uncover insights, and recommend roadmap changes. Requires 4+ years in analytics, SQL expertise, and stats knowledge.
Develops theories of intelligence grounded in neural network internal structures, focusing on belief geometries in LLMs and biological brains. Conducts experiments bridging mathematics, ML interpretability, and safety research; requires PhD-level quantitative depth and hands-on coding.
Build full stack AI/ML features for finance automation platform, owning greenfield projects with Python/TypeScript/Next.js. Requires 3-5 years full stack exp, 1+ year AI/ML inference, in-person NYC.
Develop backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace, balancing short- and long-term objectives. Requires 10+ years experience, CS/ML degree, and strong engineering/math skills.
Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.
Develop and evolve machine learning technology stack for Pinterest's Ads monetization, building personalized recommendation systems using deep learning, LLMs, and big data tools. Requires 2+ years ML experience in recommender systems, ranking, and large-scale systems.
Develops and evolves machine learning technology stack for Pinterest's Ads monetization, building personalized recommendation systems using deep learning and LLMs. Requires 2+ years ML experience, CS degree, and expertise in large-scale systems.
Develop advanced ML models using deep learning to personalize Pinterest experiences across Homefeed, Ads, Search, and more. Requires 4+ years in ML, experience with large-scale systems like Spark/Hadoop, and a degree in CS/ML.
Build and improve machine learning models for Pinterest's recommendation systems across Homefeed, Ads, Search, and more. Requires 2+ years experience in ML methods like personalization and recommender systems, plus hands-on work with large-scale data pipelines.
Senior ML engineer leads development of GenAI models and pipelines for Airbnb's customer support, productionizing at scale. Requires PhD, 10+ years ML experience including 2+ in GenAI, and expertise in NLP, deep learning, and agile AI practices.
Develops and applies advanced data science models to enhance Reddit's advertising platform performance and advertiser experience. Requires advanced degree, 4-5+ years industry experience, expertise in ML, statistical modeling, and large-scale data tools.
Leads research in database systems, focusing on query optimization, storage engines, indexing, and hardware-accelerated architectures. Collaborates with engineering to productize innovations and builds a research team. Requires PhD and 12+ years experience.
Develops backend systems for MongoDB data migration and code generation tools using Java, Kafka, and Debezium. Requires 2+ years experience in distributed systems, streaming platforms, and strong CS fundamentals.
Build predictive ML models, time-series forecasts, and A/B tests to anticipate patient needs and optimize healthcare operations. Requires strong Python, statistics, SQL expertise, and preferably a master's/PhD in data science.
Develop and scale generative models like diffusion and flow-matching for autonomous driving plan generation. Collaborate across teams to productize models for real-world deployment, requiring PhD/MSc + 3+ years in generative modeling and strong Python/C++ skills.
Develops state-of-the-art online mapping models and algorithms for autonomous vehicles using real sensor data. Requires expertise in ML, robotics, computer vision, and deep learning frameworks like PyTorch.
Senior ML Research Scientist advances end-to-end ML models for autonomous driving, processing sensor data to behaviors using large-scale datasets and compute. Requires MS/PhD, 3+ years ML experience, Python expertise, and top-tier research publications.
Develops state-of-the-art generative models like diffusion and flow-matching for autonomous planning in self-driving tech. Requires PhD or MSc with 2-3 years experience in generative modeling for robotics, strong Python/C++ skills, and top research publications.
Develops scalable ML-based planning and prediction systems for autonomous driving trajectories. Requires expertise in sequential decision making, deep RL, imitation learning, generative modeling, and robotics; M.Sc./Ph.D. preferred with top conference publications.
New grad Software Engineer for AI Platform teams (Data Platform, Onboard Systems, Technical Infrastructure) at Nuro's self-driving tech company. Build scalable systems for data management, onboard autonomy, and infrastructure using C++, Python, and ML expertise.
Principal ML Platform Engineer builds production ML infrastructure for shipping logistics ML (prediction, fraud, optimization). Requires 15+ years engineering, 4+ years ML production systems, Kubernetes/MLflow expertise.
Research Engineer building evaluations, search systems, and training agentic ML models for tool integration in AI agents. Requires strong research execution, rapid prototyping, and collaboration to productionize ideas.
Builds and scales data pipelines and infrastructure to ingest, transform, and deliver actionable insights from raw events. Requires 3+ years experience, expert SQL, programming, and ETL/ELT expertise for nationwide marketplace.
Lead strategic data science for Reddit's ads platform, owning advanced quantitative solutions in statistics, econometrics, and machine learning to optimize marketplace dynamics, advertiser ROI, and revenue. Requires Master's/PhD with 8-12+ years experience and expertise in ads systems.
Staff Data Scientist guides Reddit's consumer product strategy using data insights, experimentation, and metrics to boost user engagement and retention. Requires advanced degree, 6-10+ years experience, SQL/Python expertise, and causal inference skills.
Develops novel speculator algorithms and fine-tunes LLMs for production deployment, bridging research and customer needs with focus on data curation, hyperparameter tuning, and checkpoint evaluation. Requires Python, PyTorch, and experience with GPU clusters.
Build data pipelines, backend services, and dashboards for product insights, billing, and user targeting on Glean's AI platform. Requires 5+ years experience with backend languages like Golang/Python, SQL, and analytics systems.
Data Scientist analyzes customer behavior, product usage, and business performance to drive strategic decisions across Product, GTM, and leadership. Requires 5+ years in data science/product analytics, strong SQL, and experience in high-growth B2B SaaS environments.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.
Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.
Research Engineer optimizes and scales production pretraining of frontier AI models, handling performance, debugging, experiments, and on-call incidents. Requires expertise in JAX, TPU, PyTorch, or large-scale ML systems with a 50/50 research-engineering balance.
Conducts experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.
Builds next-generation training environments and evaluations for agentic AI models, blending research in reinforcement learning with robust engineering implementation. Requires strong technical judgment, agency, and experience in ML systems.
Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.
Research Engineer implements and scales post-training techniques like Constitutional AI and RLHF for production AI models, optimizing capabilities, alignment, and safety. Requires strong Python skills, ML systems experience, and ability to handle complex distributed training pipelines.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.
Develop and enhance the AI Gateway platform, building unified APIs for AI models with rate limiting, failovers, and integrations. Requires 5+ years experience in JavaScript/TypeScript, backend, and distributed systems.
Develop scalable ML services for data enrichment, managing the full lifecycle from model training with PyTorch/TensorFlow to deploying optimized inference using ONNX/vLLM. Requires 5+ years experience in production ML systems, strong deployment skills, and software engineering proficiency.
Analyzes Attentive's AI products across lifecycle, partnering with PMs and engineers to measure impact via A/B tests, uncover insights, and recommend roadmap changes. Requires 4+ years in analytics, SQL expertise, and stats knowledge.
Develops theories of intelligence grounded in neural network internal structures, focusing on belief geometries in LLMs and biological brains. Conducts experiments bridging mathematics, ML interpretability, and safety research; requires PhD-level quantitative depth and hands-on coding.
Build full stack AI/ML features for finance automation platform, owning greenfield projects with Python/TypeScript/Next.js. Requires 3-5 years full stack exp, 1+ year AI/ML inference, in-person NYC.
Develop backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace, balancing short- and long-term objectives. Requires 10+ years experience, CS/ML degree, and strong engineering/math skills.
Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.
Develop and evolve machine learning technology stack for Pinterest's Ads monetization, building personalized recommendation systems using deep learning, LLMs, and big data tools. Requires 2+ years ML experience in recommender systems, ranking, and large-scale systems.
Develops and evolves machine learning technology stack for Pinterest's Ads monetization, building personalized recommendation systems using deep learning and LLMs. Requires 2+ years ML experience, CS degree, and expertise in large-scale systems.
Develop advanced ML models using deep learning to personalize Pinterest experiences across Homefeed, Ads, Search, and more. Requires 4+ years in ML, experience with large-scale systems like Spark/Hadoop, and a degree in CS/ML.
Build and improve machine learning models for Pinterest's recommendation systems across Homefeed, Ads, Search, and more. Requires 2+ years experience in ML methods like personalization and recommender systems, plus hands-on work with large-scale data pipelines.
Senior ML engineer leads development of GenAI models and pipelines for Airbnb's customer support, productionizing at scale. Requires PhD, 10+ years ML experience including 2+ in GenAI, and expertise in NLP, deep learning, and agile AI practices.
Develops and applies advanced data science models to enhance Reddit's advertising platform performance and advertiser experience. Requires advanced degree, 4-5+ years industry experience, expertise in ML, statistical modeling, and large-scale data tools.
Leads research in database systems, focusing on query optimization, storage engines, indexing, and hardware-accelerated architectures. Collaborates with engineering to productize innovations and builds a research team. Requires PhD and 12+ years experience.
Develops backend systems for MongoDB data migration and code generation tools using Java, Kafka, and Debezium. Requires 2+ years experience in distributed systems, streaming platforms, and strong CS fundamentals.
Build predictive ML models, time-series forecasts, and A/B tests to anticipate patient needs and optimize healthcare operations. Requires strong Python, statistics, SQL expertise, and preferably a master's/PhD in data science.
Develop and scale generative models like diffusion and flow-matching for autonomous driving plan generation. Collaborate across teams to productize models for real-world deployment, requiring PhD/MSc + 3+ years in generative modeling and strong Python/C++ skills.
Develops state-of-the-art online mapping models and algorithms for autonomous vehicles using real sensor data. Requires expertise in ML, robotics, computer vision, and deep learning frameworks like PyTorch.
Senior ML Research Scientist advances end-to-end ML models for autonomous driving, processing sensor data to behaviors using large-scale datasets and compute. Requires MS/PhD, 3+ years ML experience, Python expertise, and top-tier research publications.
Develops state-of-the-art generative models like diffusion and flow-matching for autonomous planning in self-driving tech. Requires PhD or MSc with 2-3 years experience in generative modeling for robotics, strong Python/C++ skills, and top research publications.
Develops scalable ML-based planning and prediction systems for autonomous driving trajectories. Requires expertise in sequential decision making, deep RL, imitation learning, generative modeling, and robotics; M.Sc./Ph.D. preferred with top conference publications.
New grad Software Engineer for AI Platform teams (Data Platform, Onboard Systems, Technical Infrastructure) at Nuro's self-driving tech company. Build scalable systems for data management, onboard autonomy, and infrastructure using C++, Python, and ML expertise.
Principal ML Platform Engineer builds production ML infrastructure for shipping logistics ML (prediction, fraud, optimization). Requires 15+ years engineering, 4+ years ML production systems, Kubernetes/MLflow expertise.
Research Engineer building evaluations, search systems, and training agentic ML models for tool integration in AI agents. Requires strong research execution, rapid prototyping, and collaboration to productionize ideas.
Builds and scales data pipelines and infrastructure to ingest, transform, and deliver actionable insights from raw events. Requires 3+ years experience, expert SQL, programming, and ETL/ELT expertise for nationwide marketplace.
Lead strategic data science for Reddit's ads platform, owning advanced quantitative solutions in statistics, econometrics, and machine learning to optimize marketplace dynamics, advertiser ROI, and revenue. Requires Master's/PhD with 8-12+ years experience and expertise in ads systems.
Staff Data Scientist guides Reddit's consumer product strategy using data insights, experimentation, and metrics to boost user engagement and retention. Requires advanced degree, 6-10+ years experience, SQL/Python expertise, and causal inference skills.
Develops novel speculator algorithms and fine-tunes LLMs for production deployment, bridging research and customer needs with focus on data curation, hyperparameter tuning, and checkpoint evaluation. Requires Python, PyTorch, and experience with GPU clusters.
Build data pipelines, backend services, and dashboards for product insights, billing, and user targeting on Glean's AI platform. Requires 5+ years experience with backend languages like Golang/Python, SQL, and analytics systems.
Data Scientist analyzes customer behavior, product usage, and business performance to drive strategic decisions across Product, GTM, and leadership. Requires 5+ years in data science/product analytics, strong SQL, and experience in high-growth B2B SaaS environments.