Embedded analyst for Bridge at Stripe, owning P&L forecasting, pricing models, SQL-driven financial analysis, and strategic insights to drive growth in stablecoin payments.
Build and scale AI systems including conversation engines, RAG pipelines, and LLM integrations connected to government data. Requires 2+ years Python experience, production AI systems, and cloud infrastructure.
Build and own product analytics infrastructure, data pipelines, and self-serve tools for cross-functional teams. Leverage SQL, Python, ETL, and AI to drive data-informed decisions in sales, product, finance, and more. Requires 4+ years in product data roles.
Designs and scales distributed data infrastructure for large-scale multimodal AI training and evaluation. Collaborates with researchers to build reliable, high-performance systems in a fast-paced environment.
Builds production AI agents and LLM pipelines for marketing workflows, integrating with data warehouses. Requires strong backend architecture skills, product thinking, and creativity with LLMs; senior role emphasizing impact over years of experience.
Partners with customers and engineering to optimize AI-driven marketing campaigns through diagnostics, ML tuning, data analysis, and clear communication of insights to non-technical stakeholders. Focuses on incrementality, experimentation, and performance improvement using Python, SQL, and notebooks.
Build and scale AI agents automating healthcare workflows. Lead complex feature development using JavaScript/TypeScript/Node.js, LLMs, and DevOps tools. Requires 4+ years experience and CS degree.
Develops predictive models and analyzes data to manage risk and liability in daily fantasy sports trading operations. Requires DFS/sports betting expertise, SQL/Python proficiency, and comfort with large datasets and off-hours work.
Leads development of agentic AI platform to autonomously resolve healthcare insurance claim denials using multi-agent workflows, RAG systems, and LLMs. Requires 5+ years in production ML engineering with Python and frameworks like PyTorch.
Founding Analytics Engineer builds analytics infrastructure from scratch, designs data models and metrics frameworks for healthcare financial data, and creates self-service dashboards. Requires 5+ years experience with SQL, dbt, Python, and cloud data warehouses; NYC-based hybrid role.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on the Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Leads design, development, and deployment of AI agents using language models and ML frameworks. Drives scalable, safe AI systems while mentoring teams and collaborating cross-functionally. Requires strong Python skills and AI leadership experience.
Build and improve ML systems and data pipelines infrastructure to support modeling engineers. Requires 2+ years experience, bachelor's in CS/math/sciences, strong coding in Python/Go/Java/C++, and production ML infra expertise.
Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.
Leads design and execution of AI strategy for legal discovery platform, guiding engineering teams on LLMs, NLP, and frontier models at massive scale. Requires 6+ years ML/AI experience and 10+ years software engineering.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.
Senior Business Systems Analyst optimizes Membership Services operations by translating business needs into technical solutions, automating workflows, and leveraging CRM, case management, and AI tools. Requires 5+ years experience and strong customer focus.
Leads company-wide standards for Bayesian experimentation and causal inference to improve decision quality in high-stakes, noisy data environments. Requires 12+ years experience, deep expertise in causal methods, and strong SQL/Python/R skills.
Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.
Optimizes and builds production inference systems for large language models at scale using PyTorch and high-performance tooling. Requires 3+ years experience in production code, OS concepts, and AI inference systems.
Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.
Develops and deploys state-of-the-art GenAI models and systems for Databricks products like Assistant and Genie. Requires 2-8 years ML engineering experience, proficiency in Python/PyTorch/TensorFlow, and expertise in LLMs.
Builds ML platform infrastructure including evaluation/release gates, debug tooling, chart context retrieval, data pipelines, and model serving to accelerate AI improvements for clinical workflows. Requires 7+ years software engineering with 3+ in ML infra/platform, strong Python/TypeScript backend skills.
Develops AI-powered solutions using LLMs to improve code security vulnerability detection, prioritization, and remediation. Collaborates with customers, implements end-to-end features, and evaluates models through experimentation on real-world data.
Develops and deploys ML-based perception algorithms for robot object detection, pose estimation, tracking, and scene understanding. Integrates sensor fusion from cameras, LiDAR, IMUs; requires MS/PhD in ML/CS/robotics, expertise in computer vision, PyTorch/TensorFlow, and real-world robotics hardware.
Designs and deploys reinforcement and imitation learning algorithms for robotic manipulation tasks in dynamic environments. Requires MS/PhD, deep RL/IL expertise, PyTorch proficiency, and real-world ML deployment experience in a fast-paced startup.
Lead growth analytics by building statistical/ML models to evaluate marketing channel performance, attribution, and causal impact on enterprise sales. Partner cross-functionally to optimize multi-million dollar monthly spend.
Designs, builds, and owns core cognitive architectures for enterprise AI agent platform, blending AI research with production systems. Requires 7+ years engineering with 2+ years AI/ML production experience and deep Python backend expertise.
Leads a team of data scientists to deliver data-driven insights for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Build AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evals. Requires 3+ years experience, Python proficiency, and LLM/agent framework expertise for mid/senior/staff levels.
Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.
Designs, implements, and optimizes high-performance GPU kernels for GenAI inference stack. Leads performance improvements, mentors engineers, and collaborates with ML and systems teams. Requires deep kernel programming and GPU architecture expertise.
Designs, develops, and optimizes GenAI inference engine for LLMs, focusing on performance, scalability, and efficiency across the full stack. Requires 3+ years in performance-critical systems, CUDA/GPU expertise, and ML inference knowledge.
Leads architecture, development, and optimization of GenAI inference engine for high-throughput, low-latency LLM serving. Requires 6+ years in performance-critical systems, deep ML inference expertise, CUDA/GPU programming, and distributed systems.
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Designs and builds scalable, low-latency model serving infrastructure for AI/ML models across CPU/GPU workloads. Requires 10+ years in large-scale distributed systems and deep expertise in inference systems, architecture, and cross-team collaboration.
Designs and builds scalable, low-latency systems for serving frontier AI models on GPUs. Requires 10+ years in large-scale distributed systems, strong system design skills, and leadership in operational excellence; no prior AI experience needed.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
PhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
Build customer-facing generative AI platform covering ML lifecycle from data generation to agent-building. Requires 4+ years experience in distributed systems and ML platforms, with strong product ownership.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems expertise.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Analyze player behavior data for ChessKid to drive growth and monetization through insights on retention, engagement, and experiments. Collaborate with product and business teams using Amplitude, BigQuery, SQL, and Python.
Builds high-performance infrastructure for brain reverse-engineering via large-scale AI models and neuroscience-informed simulations. Architects systems, optimizes RL environments, and scales research prototypes to production.
Embedded analyst for Bridge at Stripe, owning P&L forecasting, pricing models, SQL-driven financial analysis, and strategic insights to drive growth in stablecoin payments.
Build and scale AI systems including conversation engines, RAG pipelines, and LLM integrations connected to government data. Requires 2+ years Python experience, production AI systems, and cloud infrastructure.
Build and own product analytics infrastructure, data pipelines, and self-serve tools for cross-functional teams. Leverage SQL, Python, ETL, and AI to drive data-informed decisions in sales, product, finance, and more. Requires 4+ years in product data roles.
Designs and scales distributed data infrastructure for large-scale multimodal AI training and evaluation. Collaborates with researchers to build reliable, high-performance systems in a fast-paced environment.
Builds production AI agents and LLM pipelines for marketing workflows, integrating with data warehouses. Requires strong backend architecture skills, product thinking, and creativity with LLMs; senior role emphasizing impact over years of experience.
Partners with customers and engineering to optimize AI-driven marketing campaigns through diagnostics, ML tuning, data analysis, and clear communication of insights to non-technical stakeholders. Focuses on incrementality, experimentation, and performance improvement using Python, SQL, and notebooks.
Build and scale AI agents automating healthcare workflows. Lead complex feature development using JavaScript/TypeScript/Node.js, LLMs, and DevOps tools. Requires 4+ years experience and CS degree.
Develops predictive models and analyzes data to manage risk and liability in daily fantasy sports trading operations. Requires DFS/sports betting expertise, SQL/Python proficiency, and comfort with large datasets and off-hours work.
Leads development of agentic AI platform to autonomously resolve healthcare insurance claim denials using multi-agent workflows, RAG systems, and LLMs. Requires 5+ years in production ML engineering with Python and frameworks like PyTorch.
Founding Analytics Engineer builds analytics infrastructure from scratch, designs data models and metrics frameworks for healthcare financial data, and creates self-service dashboards. Requires 5+ years experience with SQL, dbt, Python, and cloud data warehouses; NYC-based hybrid role.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on the Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Leads design, development, and deployment of AI agents using language models and ML frameworks. Drives scalable, safe AI systems while mentoring teams and collaborating cross-functionally. Requires strong Python skills and AI leadership experience.
Build and improve ML systems and data pipelines infrastructure to support modeling engineers. Requires 2+ years experience, bachelor's in CS/math/sciences, strong coding in Python/Go/Java/C++, and production ML infra expertise.
Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.
Leads design and execution of AI strategy for legal discovery platform, guiding engineering teams on LLMs, NLP, and frontier models at massive scale. Requires 6+ years ML/AI experience and 10+ years software engineering.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.
Senior Business Systems Analyst optimizes Membership Services operations by translating business needs into technical solutions, automating workflows, and leveraging CRM, case management, and AI tools. Requires 5+ years experience and strong customer focus.
Leads company-wide standards for Bayesian experimentation and causal inference to improve decision quality in high-stakes, noisy data environments. Requires 12+ years experience, deep expertise in causal methods, and strong SQL/Python/R skills.
Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.
Optimizes and builds production inference systems for large language models at scale using PyTorch and high-performance tooling. Requires 3+ years experience in production code, OS concepts, and AI inference systems.
Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.
Develops and deploys state-of-the-art GenAI models and systems for Databricks products like Assistant and Genie. Requires 2-8 years ML engineering experience, proficiency in Python/PyTorch/TensorFlow, and expertise in LLMs.
Builds ML platform infrastructure including evaluation/release gates, debug tooling, chart context retrieval, data pipelines, and model serving to accelerate AI improvements for clinical workflows. Requires 7+ years software engineering with 3+ in ML infra/platform, strong Python/TypeScript backend skills.
Develops AI-powered solutions using LLMs to improve code security vulnerability detection, prioritization, and remediation. Collaborates with customers, implements end-to-end features, and evaluates models through experimentation on real-world data.
Develops and deploys ML-based perception algorithms for robot object detection, pose estimation, tracking, and scene understanding. Integrates sensor fusion from cameras, LiDAR, IMUs; requires MS/PhD in ML/CS/robotics, expertise in computer vision, PyTorch/TensorFlow, and real-world robotics hardware.
Designs and deploys reinforcement and imitation learning algorithms for robotic manipulation tasks in dynamic environments. Requires MS/PhD, deep RL/IL expertise, PyTorch proficiency, and real-world ML deployment experience in a fast-paced startup.
Lead growth analytics by building statistical/ML models to evaluate marketing channel performance, attribution, and causal impact on enterprise sales. Partner cross-functionally to optimize multi-million dollar monthly spend.
Designs, builds, and owns core cognitive architectures for enterprise AI agent platform, blending AI research with production systems. Requires 7+ years engineering with 2+ years AI/ML production experience and deep Python backend expertise.
Leads a team of data scientists to deliver data-driven insights for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Build AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evals. Requires 3+ years experience, Python proficiency, and LLM/agent framework expertise for mid/senior/staff levels.
Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.
Designs, implements, and optimizes high-performance GPU kernels for GenAI inference stack. Leads performance improvements, mentors engineers, and collaborates with ML and systems teams. Requires deep kernel programming and GPU architecture expertise.
Designs, develops, and optimizes GenAI inference engine for LLMs, focusing on performance, scalability, and efficiency across the full stack. Requires 3+ years in performance-critical systems, CUDA/GPU expertise, and ML inference knowledge.
Leads architecture, development, and optimization of GenAI inference engine for high-throughput, low-latency LLM serving. Requires 6+ years in performance-critical systems, deep ML inference expertise, CUDA/GPU programming, and distributed systems.
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Designs and builds scalable, low-latency model serving infrastructure for AI/ML models across CPU/GPU workloads. Requires 10+ years in large-scale distributed systems and deep expertise in inference systems, architecture, and cross-team collaboration.
Designs and builds scalable, low-latency systems for serving frontier AI models on GPUs. Requires 10+ years in large-scale distributed systems, strong system design skills, and leadership in operational excellence; no prior AI experience needed.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
PhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
Build customer-facing generative AI platform covering ML lifecycle from data generation to agent-building. Requires 4+ years experience in distributed systems and ML platforms, with strong product ownership.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems expertise.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Analyze player behavior data for ChessKid to drive growth and monetization through insights on retention, engagement, and experiments. Collaborate with product and business teams using Amplitude, BigQuery, SQL, and Python.
Builds high-performance infrastructure for brain reverse-engineering via large-scale AI models and neuroscience-informed simulations. Architects systems, optimizes RL environments, and scales research prototypes to production.