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.
Leads a data science team driving marketing strategy through causal insights, LTV modeling, and measurement frameworks. Partners with product/marketing to enable data-driven decisions and self-serve analytics; requires 5+ years managing data scientists, SQL/Python proficiency.
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.
AI Researcher develops and fine-tunes large multimodal models for real-time conversational avatars, modeling verbal/non-verbal behaviors with low latency. Requires PhD or equivalent, hands-on experience with VLMs, PyTorch, and deep learning.
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.
Lead data-driven analysis for Lyft's Global Growth Luxury Strategy, developing frameworks to optimize pricing, merchandising, and incentives for premium rideshare products. Collaborate cross-functionally to influence product roadmaps and present insights to senior leadership; requires 2-5+ years in analytics or consulting and SQL proficiency.
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.
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.
Conducts cutting-edge research in 3D vision, reconstruction, and generation for autonomous driving and robotics, publishes at top conferences, and deploys algorithms to production systems. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python, PyTorch, CV, and robotics.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
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.
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 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 on world-action foundation models for robotics and autonomous driving, focusing on 3D vision, multi-modal pretraining, and Gaussian splatting. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python/PyTorch.
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.
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.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
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.
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.
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 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.
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.
Lead the development and maintenance of scalable data pipelines, warehouse, and transformation layer using modern data stack. Collaborate with data scientists and analysts to ensure clean, reliable data for insights in a high-growth startup.
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.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
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.
Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.
Analyzes power, cooling, and energy data for datacenters; builds forecasting models, dashboards, and delivers insights to optimize AI infrastructure. Requires 4+ years experience, strong SQL/Python, and BI tools like Tableau.
Owns analytics, experimentation, and measurement for HingeSelect's Visits and Discovery experience. Partners with Product/Engineering to diagnose bottlenecks, design experiments, model supply-demand dynamics, and build data architecture using Python/SQL/ML. Requires 5+ years in data science/product analytics.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
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.
Builds and maintains backend services and REST APIs serving data from Snowflake and other sources to internal teams, primarily in Python. Supports data pipelines using Airflow, Airbyte, and dbt, partnering with Analytics Engineering.
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.
Builds and optimizes big data pipelines processing billions of signals for technographic data services. Requires 5+ years experience with Spark, Hadoop, Java/Scala, and distributed systems; collaborates with data scientists on ML integration.
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.
Builds and scales petabyte-scale data ingestion pipelines for observability platform using Go/C++ on AWS/Azure. Requires 5+ years in distributed systems, strong systems programming, and cloud experience.
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.
Leads analytics initiatives and client engagement for pharmaceutical and agency clients in healthcare advertising. Delivers insights, measurement strategies, and custom reports using SQL, Python, R; requires 4+ years experience including pharma media.
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.
Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.
Builds scalable financial data infrastructure and AI-powered automation for finance operations, integrating tools like dbt, Snowflake, and agentic workflows to replace manual processes. Requires 3+ years in finance ops/data engineering, SQL/Python proficiency, and finance domain expertise.
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.
Leads a data science team driving marketing strategy through causal insights, LTV modeling, and measurement frameworks. Partners with product/marketing to enable data-driven decisions and self-serve analytics; requires 5+ years managing data scientists, SQL/Python proficiency.
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.
AI Researcher develops and fine-tunes large multimodal models for real-time conversational avatars, modeling verbal/non-verbal behaviors with low latency. Requires PhD or equivalent, hands-on experience with VLMs, PyTorch, and deep learning.
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.
Lead data-driven analysis for Lyft's Global Growth Luxury Strategy, developing frameworks to optimize pricing, merchandising, and incentives for premium rideshare products. Collaborate cross-functionally to influence product roadmaps and present insights to senior leadership; requires 2-5+ years in analytics or consulting and SQL proficiency.
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.
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.
Conducts cutting-edge research in 3D vision, reconstruction, and generation for autonomous driving and robotics, publishes at top conferences, and deploys algorithms to production systems. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python, PyTorch, CV, and robotics.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
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.
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 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 on world-action foundation models for robotics and autonomous driving, focusing on 3D vision, multi-modal pretraining, and Gaussian splatting. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python/PyTorch.
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.
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.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
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.
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.
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 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.
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.
Lead the development and maintenance of scalable data pipelines, warehouse, and transformation layer using modern data stack. Collaborate with data scientists and analysts to ensure clean, reliable data for insights in a high-growth startup.
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.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
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.
Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.
Analyzes power, cooling, and energy data for datacenters; builds forecasting models, dashboards, and delivers insights to optimize AI infrastructure. Requires 4+ years experience, strong SQL/Python, and BI tools like Tableau.
Owns analytics, experimentation, and measurement for HingeSelect's Visits and Discovery experience. Partners with Product/Engineering to diagnose bottlenecks, design experiments, model supply-demand dynamics, and build data architecture using Python/SQL/ML. Requires 5+ years in data science/product analytics.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
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.
Builds and maintains backend services and REST APIs serving data from Snowflake and other sources to internal teams, primarily in Python. Supports data pipelines using Airflow, Airbyte, and dbt, partnering with Analytics Engineering.
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.
Builds and optimizes big data pipelines processing billions of signals for technographic data services. Requires 5+ years experience with Spark, Hadoop, Java/Scala, and distributed systems; collaborates with data scientists on ML integration.
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.
Builds and scales petabyte-scale data ingestion pipelines for observability platform using Go/C++ on AWS/Azure. Requires 5+ years in distributed systems, strong systems programming, and cloud experience.
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.
Leads analytics initiatives and client engagement for pharmaceutical and agency clients in healthcare advertising. Delivers insights, measurement strategies, and custom reports using SQL, Python, R; requires 4+ years experience including pharma media.
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.
Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.
Builds scalable financial data infrastructure and AI-powered automation for finance operations, integrating tools like dbt, Snowflake, and agentic workflows to replace manual processes. Requires 3+ years in finance ops/data engineering, SQL/Python proficiency, and finance domain expertise.