Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.
Leads development and deployment of computer vision and ML models for real-time drone detection, tracking, and classification on edge hardware. Requires 6+ years experience with production CV/ML systems under latency constraints, proficiency in Python/C++/Rust, and PyTorch/JAX.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
Senior Research Engineer leads development of conversational AI models for enterprise support agents, owning research-to-production initiatives to enhance reliability, capability, and efficiency. Requires 5+ years AI/ML experience with LLM deployment expertise.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.
Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.
Designs and implements infrastructure for training next-generation LLM architectures focused on Mixture-of-Experts and long-context models. Requires 4+ years building ML pipelines with PyTorch/JAX/TF, deep learning expertise, and strong software engineering skills.
Combines clinical expertise (MD/PA/DO) with AI to develop and refine tools for clinical documentation, decision support, and risk adjustment. Defines quality standards, optimizes prompts, evaluates outputs, and collaborates with engineering teams to enhance clinician efficiency.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.
Develops generative and programmatic CAD pipelines for micro-device assemblies, integrating AI-driven workflows and CAD APIs to automate design exploration and optimization. Requires CAD scripting expertise, AI knowledge, and 5+ years experience (PhD) or equivalent.
Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.
Designs, implements, and advances state-of-the-art SLAM systems for robust spatial understanding from sensor data in dynamic environments. Requires 6+ years in SLAM/state estimation, proficiency in Python/C++, and expertise in probabilistic methods and sensor fusion.
Leads technical vision and execution for 3D modeling and reconstruction systems, driving innovation in learning-based methods, mentoring a small research team, and delivering production-scale capabilities integrated with rendering platforms. Requires 8+ years in computer vision/graphics with strong Python/C++ and ML expertise.
Develops state-of-the-art 3D reconstruction systems from real-world data using feed-forward and optimization-based methods. Requires 6+ years in computer vision/graphics/ML, proficiency in Python/C++/PyTorch, and expertise in 3D representations.
Research Engineer improves world models by curating multimodal (image/video) training datasets at scale. Builds processing pipelines, deploys ML for enrichment, and closes data-model-evaluation loop using strong engineering and research skills.
Research Engineer building production LLM and ML systems for healthcare workflows. Requires strong ML/NLP research background with publications, production deployment experience, and proficiency in PyTorch/TensorFlow/JAX.
Leads ML engineering for 3D scene reconstruction platform, driving quality improvements in production pipelines, managing team of engineers and scientists, and coordinating cross-functionally. Requires 7+ years ML experience including 5+ in management, heavy computer vision expertise, and master's degree.
Staff engineer builds AI-driven platform infrastructure for SDLC transformation, owns end-to-end experiments using AI agents like Claude, and ensures high-velocity code delivery with strong abstractions and real-world grounding. Requires staff-level architecture experience and AI-native workflows.
Develops and scales ML systems for AI coaching on edge hardware and cloud, focusing on time-series models, small language models, and NLU for health insights. Requires 5+ years experience, deep learning expertise, and collaboration across teams.
Leads 0→1 AI initiatives from concept to production, building systems with LLMs, agentic architectures, retrieval, and evaluation. Requires 7+ years experience, strong product intuition, and cross-team technical leadership.
Builds production AI systems using LLMs, agentic architectures, and retrieval systems. Ships end-to-end features in fast-paced environments with strong product instincts and collaborative engineering practices. Requires 3+ years experience.
Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.
Builds ML tools, infrastructure, and manages large datasets for end-to-end autonomy research and productionizing self-driving software. Works with AI research and engineering teams to scale GPU compute, data, and evaluation systems. Requires strong software generalist skills across ML stack.
Conducts research in reinforcement learning and VLA post-training for robotics and autonomous systems, focusing on dexterous manipulation. Publishes at top conferences and deploys algorithms to real-world products. Requires MSc/PhD, strong publications, and expertise in Python, PyTorch, CV, robotics.
Builds distributed ML infrastructure including GPU training, end-to-end pipelines, and deployment platforms. Requires 3+ years experience in production ML systems, strong software engineering, and familiarity with open-source tools.
Develops cutting-edge robot learning technologies including RL training in simulations, hardware setup, data processing, and end-to-end autonomy algorithms for real-world robotic systems. Requires hands-on experience in multi-modal robot learning, reinforcement learning, or related fields, plus Python, PyTorch, computer vision, and robotics expertise.
Conducts research on reinforcement learning for self-driving cars and robotics, develops large-scale RL training infrastructure, and deploys algorithms to production systems. Requires hands-on RL experience, PyTorch/Python proficiency, and strong research skills.
Designs, builds, and operates large-scale ML infrastructure for AI/RL research, including GPU cluster orchestration, data curation pipelines, and distributed training systems for autonomous driving and robotics.
Research Engineer focusing on 3D vision, Gaussian splatting, foundation models, and generative techniques for self-driving applications. Conducts cutting-edge research, publishes at top conferences, and deploys algorithms to production autonomy systems. Requires hands-on experience in 3D/ML for AV/robotics, Python/PyTorch proficiency.
Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
Defines and manages perception subsystem requirements for autonomous trucking, evaluates safety and performance, coordinates with SW/HW teams, and develops V&V pipelines. Requires 3+ years automotive systems engineering experience with perception and sensor expertise.
Builds and operates scalable data pipelines and systems for post-training workflows, model evaluations, and synthetic data generation. Partners with frontier AI labs and customers, requiring strong backend skills in Python/Go/Rust and ML evaluation expertise.
Designs end-to-end perception architecture for autonomous systems, bridging sensing and ML teams. Leads hardware-software co-design, AI pipeline evolution, and cross-functional teams. Requires 8+ years in autonomy, PhD/MS in CS/Robotics, expertise in CV and sensors.
Designs Vision-Language-Action (VLA) frameworks and world models for general-purpose robots to reason, adapt, and achieve high task success in complex environments. Requires MS/PhD in CS/ML/Robotics, deep expertise in transformers, RL, or data systems, and PyTorch/JAX proficiency.
Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.
Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.
PhD intern in Pinterest's Advanced Technology Group develops ML features for visual understanding and recommender systems, conducts cutting-edge research, and deploys to production. Requires PhD candidacy in CS/ML-related field, proficiency in systems languages and ML frameworks, and AI-native engineering skills.
Leads AI-driven innovation to analyze guest behavior, detect preferences, and build personalized discovery products in Airbnb's marketplace. Requires causal inference expertise, 9+ years experience, advanced degree, and strong Python/SQL skills.
Builds, fine-tunes, and deploys multimodal AI models and agents for trucking logistics automation. Owns full ML lifecycle including data flywheels, evaluation, production adaptation, using Python, TypeScript, and leading AI APIs.
Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Builds advanced AI systems using LLM pipelines, vector search, agent frameworks, and multimodal tools to create intelligent interactive product demos. Requires 5+ years in software/AI engineering and a bachelor's degree.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.
Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.
Leads development and deployment of computer vision and ML models for real-time drone detection, tracking, and classification on edge hardware. Requires 6+ years experience with production CV/ML systems under latency constraints, proficiency in Python/C++/Rust, and PyTorch/JAX.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
Senior Research Engineer leads development of conversational AI models for enterprise support agents, owning research-to-production initiatives to enhance reliability, capability, and efficiency. Requires 5+ years AI/ML experience with LLM deployment expertise.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.
Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.
Designs and implements infrastructure for training next-generation LLM architectures focused on Mixture-of-Experts and long-context models. Requires 4+ years building ML pipelines with PyTorch/JAX/TF, deep learning expertise, and strong software engineering skills.
Combines clinical expertise (MD/PA/DO) with AI to develop and refine tools for clinical documentation, decision support, and risk adjustment. Defines quality standards, optimizes prompts, evaluates outputs, and collaborates with engineering teams to enhance clinician efficiency.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.
Develops generative and programmatic CAD pipelines for micro-device assemblies, integrating AI-driven workflows and CAD APIs to automate design exploration and optimization. Requires CAD scripting expertise, AI knowledge, and 5+ years experience (PhD) or equivalent.
Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.
Designs, implements, and advances state-of-the-art SLAM systems for robust spatial understanding from sensor data in dynamic environments. Requires 6+ years in SLAM/state estimation, proficiency in Python/C++, and expertise in probabilistic methods and sensor fusion.
Leads technical vision and execution for 3D modeling and reconstruction systems, driving innovation in learning-based methods, mentoring a small research team, and delivering production-scale capabilities integrated with rendering platforms. Requires 8+ years in computer vision/graphics with strong Python/C++ and ML expertise.
Develops state-of-the-art 3D reconstruction systems from real-world data using feed-forward and optimization-based methods. Requires 6+ years in computer vision/graphics/ML, proficiency in Python/C++/PyTorch, and expertise in 3D representations.
Research Engineer improves world models by curating multimodal (image/video) training datasets at scale. Builds processing pipelines, deploys ML for enrichment, and closes data-model-evaluation loop using strong engineering and research skills.
Research Engineer building production LLM and ML systems for healthcare workflows. Requires strong ML/NLP research background with publications, production deployment experience, and proficiency in PyTorch/TensorFlow/JAX.
Leads ML engineering for 3D scene reconstruction platform, driving quality improvements in production pipelines, managing team of engineers and scientists, and coordinating cross-functionally. Requires 7+ years ML experience including 5+ in management, heavy computer vision expertise, and master's degree.
Staff engineer builds AI-driven platform infrastructure for SDLC transformation, owns end-to-end experiments using AI agents like Claude, and ensures high-velocity code delivery with strong abstractions and real-world grounding. Requires staff-level architecture experience and AI-native workflows.
Develops and scales ML systems for AI coaching on edge hardware and cloud, focusing on time-series models, small language models, and NLU for health insights. Requires 5+ years experience, deep learning expertise, and collaboration across teams.
Leads 0→1 AI initiatives from concept to production, building systems with LLMs, agentic architectures, retrieval, and evaluation. Requires 7+ years experience, strong product intuition, and cross-team technical leadership.
Builds production AI systems using LLMs, agentic architectures, and retrieval systems. Ships end-to-end features in fast-paced environments with strong product instincts and collaborative engineering practices. Requires 3+ years experience.
Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.
Builds ML tools, infrastructure, and manages large datasets for end-to-end autonomy research and productionizing self-driving software. Works with AI research and engineering teams to scale GPU compute, data, and evaluation systems. Requires strong software generalist skills across ML stack.
Conducts research in reinforcement learning and VLA post-training for robotics and autonomous systems, focusing on dexterous manipulation. Publishes at top conferences and deploys algorithms to real-world products. Requires MSc/PhD, strong publications, and expertise in Python, PyTorch, CV, robotics.
Builds distributed ML infrastructure including GPU training, end-to-end pipelines, and deployment platforms. Requires 3+ years experience in production ML systems, strong software engineering, and familiarity with open-source tools.
Develops cutting-edge robot learning technologies including RL training in simulations, hardware setup, data processing, and end-to-end autonomy algorithms for real-world robotic systems. Requires hands-on experience in multi-modal robot learning, reinforcement learning, or related fields, plus Python, PyTorch, computer vision, and robotics expertise.
Conducts research on reinforcement learning for self-driving cars and robotics, develops large-scale RL training infrastructure, and deploys algorithms to production systems. Requires hands-on RL experience, PyTorch/Python proficiency, and strong research skills.
Designs, builds, and operates large-scale ML infrastructure for AI/RL research, including GPU cluster orchestration, data curation pipelines, and distributed training systems for autonomous driving and robotics.
Research Engineer focusing on 3D vision, Gaussian splatting, foundation models, and generative techniques for self-driving applications. Conducts cutting-edge research, publishes at top conferences, and deploys algorithms to production autonomy systems. Requires hands-on experience in 3D/ML for AV/robotics, Python/PyTorch proficiency.
Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
Defines and manages perception subsystem requirements for autonomous trucking, evaluates safety and performance, coordinates with SW/HW teams, and develops V&V pipelines. Requires 3+ years automotive systems engineering experience with perception and sensor expertise.
Builds and operates scalable data pipelines and systems for post-training workflows, model evaluations, and synthetic data generation. Partners with frontier AI labs and customers, requiring strong backend skills in Python/Go/Rust and ML evaluation expertise.
Designs end-to-end perception architecture for autonomous systems, bridging sensing and ML teams. Leads hardware-software co-design, AI pipeline evolution, and cross-functional teams. Requires 8+ years in autonomy, PhD/MS in CS/Robotics, expertise in CV and sensors.
Designs Vision-Language-Action (VLA) frameworks and world models for general-purpose robots to reason, adapt, and achieve high task success in complex environments. Requires MS/PhD in CS/ML/Robotics, deep expertise in transformers, RL, or data systems, and PyTorch/JAX proficiency.
Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.
Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.
PhD intern in Pinterest's Advanced Technology Group develops ML features for visual understanding and recommender systems, conducts cutting-edge research, and deploys to production. Requires PhD candidacy in CS/ML-related field, proficiency in systems languages and ML frameworks, and AI-native engineering skills.
Leads AI-driven innovation to analyze guest behavior, detect preferences, and build personalized discovery products in Airbnb's marketplace. Requires causal inference expertise, 9+ years experience, advanced degree, and strong Python/SQL skills.
Builds, fine-tunes, and deploys multimodal AI models and agents for trucking logistics automation. Owns full ML lifecycle including data flywheels, evaluation, production adaptation, using Python, TypeScript, and leading AI APIs.
Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Builds advanced AI systems using LLM pipelines, vector search, agent frameworks, and multimodal tools to create intelligent interactive product demos. Requires 5+ years in software/AI engineering and a bachelor's degree.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.