Staff Data Scientist leads advanced analytics, experimentation, and causal inference to drive product decisions and business impact. Requires 7+ years experience, strong SQL/Python skills, statistical expertise, and cross-functional collaboration.
Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.
Design and deploy deep learning models on biosensor and time-series data to deliver personalized health metrics. Requires strong ML/DL fundamentals, publications, and 4+ years of research experience.
Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.
Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.
Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.
Designs and builds scalable backend systems and applies machine learning to address safety, integrity, and Generative AI risks. Requires 8+ years backend experience, ML expertise, and distributed systems knowledge.
Develops and maintains big data applications using Java and distributed systems like Apache Hudi, Spark, and Trino. Collaborates on requirements, ensures scalable code with TDD, and works with storage systems like S3 and ADLS.
Designs, builds, and deploys custom AI agents for enterprise customers, providing hands-on technical support, troubleshooting, and acting as technical account manager. Requires 3+ years customer-facing experience and expertise in Python, AWS, SQL, and AI agent frameworks like LangChain and CrewAI.
Owns voice AI infrastructure for insurance operations, building scalable outbound/inbound agents, customer service, and underwriting systems with sub-second latency. Requires 3-6 years experience in production voice AI and real-time systems.
Designs and builds AI agents, workflows, and evaluation systems for enterprise audit platforms. Requires experience shipping production software with TypeScript, React, Python, Postgres, LLMs, RAG, and agent orchestration.
Builds performance benchmarking, diagnostic, and optimization tools for LLM inference on GPU clusters. Early-career role requiring Python proficiency, systems curiosity, and interest in AI hardware—no prior experience needed.
Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.
Design and deliver custom LLM solutions for enterprise customers, train frontier models using Cohere's stack, and influence foundation model capabilities. Requires strong ML fundamentals, Python fluency, and customer-facing technical leadership.
Design and deliver custom LLM solutions for enterprise customers, train frontier models using Cohere's stack, and contribute to foundation model improvements. Requires strong ML fundamentals, Python fluency, and experience with LLMs and large-scale data.
Designs, builds, and deploys production-grade AI agents using LLMs for enterprise workflows. Collaborates with customers to solve business problems, ensures reliability, and mentors teams on agentic architectures.
Senior Data Scientist builds fraud detection models and financial risk products, handling full lifecycle from data acquisition to production code. Requires 4+ years experience (or advanced degree), strong ML/stats skills, and production coding ability.
Builds and deploys end-to-end AI/ML systems, including LLM workflows and rapid prototypes for internal tools and product features in healthcare. Requires 4+ years experience, strong full-stack skills, evaluation/monitoring expertise, and Python proficiency.
Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and Bachelor's degree.
Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and bachelor's degree.
Build and maintain scalable ML platform for model experimentation, training, evaluation, inference, and feature store to power underwriting products. Requires 5+ years experience with Python, ML stacks like Databricks/AWS, and MLOps systems.
Build and scale data pipelines and infrastructure using Python, Airflow, dbt, and Snowflake to power patient outcomes in a high-growth healthcare startup. Requires strong Python/SQL expertise, orchestration mastery, and startup mindset for handling sensitive medical data.
Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.
Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.
Builds sophisticated AI agent products for investigating financial crimes, leads technical designs and teams. Requires 4-10 years experience in software development, Python, cloud infrastructure, and hybrid SF Bay Area work.
Builds and deploys production-scale AI/ML systems using LLMs, from fine-tuning and evaluation to low-latency infrastructure. Requires 5+ years experience with PyTorch/TensorFlow, MLOps, AWS, and taking models to production at high-growth startups.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).
Develop ML models for generating realistic autonomous vehicle simulation scenarios, integrating LLMs/VLMs and agentic AI for safety validation. Requires 5+ years ML experience, MS/PhD, and proficiency in PyTorch, transformers, diffusion models.
Builds and maintains scalable data pipelines, models, and warehouses to enable business intelligence and decision-making. Collaborates with teams on data integration, governance, and self-serve analytics using SQL, dbt, Python, and BI tools. Requires 3+ years experience.
Architects and builds massive-scale data infrastructure for web crawling, embedding model training, and real-time search, handling hundreds of petabytes. Requires expertise in lakehouse architectures, distributed processing pipelines, and streaming systems like Kafka and Flink.
Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.
Staff engineer builds and owns scalable data pipelines, backend services, and AI agents for MLS/property data platform, powering search, recommendations, and automation. Requires 10+ years experience with distributed systems, Python/Java, Kafka, Spark/Flink, and cloud infrastructure.
Leads design and development of scalable, real-time API and data infrastructure for AI model evaluations, processing large-scale event streams with low latency. Requires 5+ years in infrastructure or ML systems, expertise in distributed systems, stream processing, and backend architecture.
Build and scale data pipelines to process millions of user votes for AI model evaluation. Partner with researchers to deliver insights via dashboards, ensuring data quality and reliability in a fast-paced environment. Requires 5+ years in data engineering with big data tools.
Leads open-source ML research by designing experiments, developing evaluation methodologies, analyzing preference data, and releasing datasets/code to advance AI model transparency. Requires PhD-level expertise in ML/LLMs and hands-on experience with RLHF/DPO fine-tuning.
Designs and conducts experiments to evaluate AI models using human preference data, develops new metrics and methodologies, and analyzes large-scale interaction data to advance model reliability and alignment.
Builds and optimizes ML backend systems for recommendation, ranking, and search in a fast-growing AI consumer app. Requires 5+ years experience, CS bachelor's, ML frameworks like PyTorch/TensorFlow, cloud infra, and modern typed languages.
Develops LLM/NLU systems and data pipelines to process medical records, classify patients, and recommend care levels for a healthcare AI platform. Requires 5+ years backend/data engineering experience with production LLMs and integration into user-facing features.
Leads AI platform development as a hands-on technical authority, owning GCP system design, event-driven data pipelines, AI integrations with LLMs, and observability for healthcare data. Requires 12+ years engineering experience, 5+ as Tech Lead, expert in Go/Python/TypeScript and distributed systems.
Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
Builds personalization and recommendation systems from scratch for AI creative tools, modeling user taste and curating feeds. Designs algorithms for generative models to adapt to individual aesthetics, using ML frameworks like PyTorch/JAX.
Builds and deploys AI primitives and agents to automate workflows and enhance user experiences in investment management platform. Requires AI agent experience, distributed systems knowledge, and product-minded engineering across tech stacks.
Designs and implements novel model serving architectures on in-house inference engine to maximize throughput and minimize latency for generative media models. Develops performance tools and collaborates with ML teams on Nvidia-based systems optimizations.
Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.
Builds and scales deep learning infrastructure for autonomous drone computer vision workloads, optimizing inference for high throughput/low latency across hardware, and implements MLOps pipelines for model deployment and monitoring. Requires hands-on MLOps, DL/CV expertise, and ML pipeline experience.
Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.
Develops and optimizes deep learning inference infrastructure for real-time computer vision workloads on drones, focusing on high-throughput, low-latency performance across hardware platforms. Builds MLOps workflows, GPU kernels, and SDKs; requires strong DL, CV, and ML pipeline expertise.
Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.
Staff Data Scientist leads advanced analytics, experimentation, and causal inference to drive product decisions and business impact. Requires 7+ years experience, strong SQL/Python skills, statistical expertise, and cross-functional collaboration.
Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.
Design and deploy deep learning models on biosensor and time-series data to deliver personalized health metrics. Requires strong ML/DL fundamentals, publications, and 4+ years of research experience.
Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.
Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.
Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.
Designs and builds scalable backend systems and applies machine learning to address safety, integrity, and Generative AI risks. Requires 8+ years backend experience, ML expertise, and distributed systems knowledge.
Develops and maintains big data applications using Java and distributed systems like Apache Hudi, Spark, and Trino. Collaborates on requirements, ensures scalable code with TDD, and works with storage systems like S3 and ADLS.
Designs, builds, and deploys custom AI agents for enterprise customers, providing hands-on technical support, troubleshooting, and acting as technical account manager. Requires 3+ years customer-facing experience and expertise in Python, AWS, SQL, and AI agent frameworks like LangChain and CrewAI.
Owns voice AI infrastructure for insurance operations, building scalable outbound/inbound agents, customer service, and underwriting systems with sub-second latency. Requires 3-6 years experience in production voice AI and real-time systems.
Designs and builds AI agents, workflows, and evaluation systems for enterprise audit platforms. Requires experience shipping production software with TypeScript, React, Python, Postgres, LLMs, RAG, and agent orchestration.
Builds performance benchmarking, diagnostic, and optimization tools for LLM inference on GPU clusters. Early-career role requiring Python proficiency, systems curiosity, and interest in AI hardware—no prior experience needed.
Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.
Design and deliver custom LLM solutions for enterprise customers, train frontier models using Cohere's stack, and influence foundation model capabilities. Requires strong ML fundamentals, Python fluency, and customer-facing technical leadership.
Design and deliver custom LLM solutions for enterprise customers, train frontier models using Cohere's stack, and contribute to foundation model improvements. Requires strong ML fundamentals, Python fluency, and experience with LLMs and large-scale data.
Designs, builds, and deploys production-grade AI agents using LLMs for enterprise workflows. Collaborates with customers to solve business problems, ensures reliability, and mentors teams on agentic architectures.
Senior Data Scientist builds fraud detection models and financial risk products, handling full lifecycle from data acquisition to production code. Requires 4+ years experience (or advanced degree), strong ML/stats skills, and production coding ability.
Builds and deploys end-to-end AI/ML systems, including LLM workflows and rapid prototypes for internal tools and product features in healthcare. Requires 4+ years experience, strong full-stack skills, evaluation/monitoring expertise, and Python proficiency.
Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and Bachelor's degree.
Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and bachelor's degree.
Build and maintain scalable ML platform for model experimentation, training, evaluation, inference, and feature store to power underwriting products. Requires 5+ years experience with Python, ML stacks like Databricks/AWS, and MLOps systems.
Build and scale data pipelines and infrastructure using Python, Airflow, dbt, and Snowflake to power patient outcomes in a high-growth healthcare startup. Requires strong Python/SQL expertise, orchestration mastery, and startup mindset for handling sensitive medical data.
Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.
Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.
Builds sophisticated AI agent products for investigating financial crimes, leads technical designs and teams. Requires 4-10 years experience in software development, Python, cloud infrastructure, and hybrid SF Bay Area work.
Builds and deploys production-scale AI/ML systems using LLMs, from fine-tuning and evaluation to low-latency infrastructure. Requires 5+ years experience with PyTorch/TensorFlow, MLOps, AWS, and taking models to production at high-growth startups.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).
Develop ML models for generating realistic autonomous vehicle simulation scenarios, integrating LLMs/VLMs and agentic AI for safety validation. Requires 5+ years ML experience, MS/PhD, and proficiency in PyTorch, transformers, diffusion models.
Builds and maintains scalable data pipelines, models, and warehouses to enable business intelligence and decision-making. Collaborates with teams on data integration, governance, and self-serve analytics using SQL, dbt, Python, and BI tools. Requires 3+ years experience.
Architects and builds massive-scale data infrastructure for web crawling, embedding model training, and real-time search, handling hundreds of petabytes. Requires expertise in lakehouse architectures, distributed processing pipelines, and streaming systems like Kafka and Flink.
Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.
Staff engineer builds and owns scalable data pipelines, backend services, and AI agents for MLS/property data platform, powering search, recommendations, and automation. Requires 10+ years experience with distributed systems, Python/Java, Kafka, Spark/Flink, and cloud infrastructure.
Leads design and development of scalable, real-time API and data infrastructure for AI model evaluations, processing large-scale event streams with low latency. Requires 5+ years in infrastructure or ML systems, expertise in distributed systems, stream processing, and backend architecture.
Build and scale data pipelines to process millions of user votes for AI model evaluation. Partner with researchers to deliver insights via dashboards, ensuring data quality and reliability in a fast-paced environment. Requires 5+ years in data engineering with big data tools.
Leads open-source ML research by designing experiments, developing evaluation methodologies, analyzing preference data, and releasing datasets/code to advance AI model transparency. Requires PhD-level expertise in ML/LLMs and hands-on experience with RLHF/DPO fine-tuning.
Designs and conducts experiments to evaluate AI models using human preference data, develops new metrics and methodologies, and analyzes large-scale interaction data to advance model reliability and alignment.
Builds and optimizes ML backend systems for recommendation, ranking, and search in a fast-growing AI consumer app. Requires 5+ years experience, CS bachelor's, ML frameworks like PyTorch/TensorFlow, cloud infra, and modern typed languages.
Develops LLM/NLU systems and data pipelines to process medical records, classify patients, and recommend care levels for a healthcare AI platform. Requires 5+ years backend/data engineering experience with production LLMs and integration into user-facing features.
Leads AI platform development as a hands-on technical authority, owning GCP system design, event-driven data pipelines, AI integrations with LLMs, and observability for healthcare data. Requires 12+ years engineering experience, 5+ as Tech Lead, expert in Go/Python/TypeScript and distributed systems.
Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
Builds personalization and recommendation systems from scratch for AI creative tools, modeling user taste and curating feeds. Designs algorithms for generative models to adapt to individual aesthetics, using ML frameworks like PyTorch/JAX.
Builds and deploys AI primitives and agents to automate workflows and enhance user experiences in investment management platform. Requires AI agent experience, distributed systems knowledge, and product-minded engineering across tech stacks.
Designs and implements novel model serving architectures on in-house inference engine to maximize throughput and minimize latency for generative media models. Develops performance tools and collaborates with ML teams on Nvidia-based systems optimizations.
Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.
Builds and scales deep learning infrastructure for autonomous drone computer vision workloads, optimizing inference for high throughput/low latency across hardware, and implements MLOps pipelines for model deployment and monitoring. Requires hands-on MLOps, DL/CV expertise, and ML pipeline experience.
Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.
Develops and optimizes deep learning inference infrastructure for real-time computer vision workloads on drones, focusing on high-throughput, low-latency performance across hardware platforms. Builds MLOps workflows, GPU kernels, and SDKs; requires strong DL, CV, and ML pipeline expertise.
Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.