Leads design, customization, and integration of LLMs into biomedical research workflows and NCBI platforms like PubMed. Requires 3+ years hands-on LLM experience with Python, PyTorch, Hugging Face, and RAG systems; biomedical domain preferred.
Builds and launches AI-powered workflow automation products for government agencies, owning full development from needs identification to production using LLMs, RAG, and multi-agent systems. Requires 5+ years experience with generative AI and product engineering in startups.
Builds and deploys production AI systems including LLM-powered features, agents, and RAG for underwriting, pricing, and risk evaluation in insurance. Requires 5+ years backend experience, hands-on AI product shipping, and familiarity with LLMs and vector DBs.
Develops AI/ML models to transform sensor data into personalized health and sleep insights, focusing on thermoregulation, foundation models, and behavioral simulations using vast sleep datasets. Requires PhD in ML/AI-related field, 3+ years practical ML experience, and strong publications.
Founding ML Engineer builds ML strategy, production systems, and infrastructure from scratch for AI cybersecurity threat detection using LLMs. Requires 8+ years production ML experience, strong software engineering, and cloud/ML frameworks; leads team growth.
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.
Leads R&D on small language models and AI training, developing efficient architectures, optimizing performance, and ensuring safety. Collaborates with research, engineering, and product teams using Python, PyTorch, TensorFlow, or JAX.
Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.
Leads end-to-end delivery of healthcare analytics projects using real-world data, manages client relationships, and drives insights in areas like patient journeys and market analysis. Requires 3-6 years experience, quantitative degree, and proficiency in SQL/Python/R.
Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.
Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.
Develops AI-native financial modeling templates and standards for private markets platform, teaches AI agents best practices, and performs QA on automated model outputs. Requires investment banking or private equity experience with complex model building.
Owns quality for Notion AI products through context engineering, evals, data analysis, debugging, and model evaluation with top AI labs. Requires LLM experience, analytical skills, and driver mentality; no traditional coding.
Leads design and deployment of AI/ML models, prototypes, and ethical frameworks for DoD missions. Requires 8+ years in AI/ML/data science, bachelor's in relevant field, Python/TensorFlow/PyTorch experience, and Public Trust eligibility.
Develops and maintains software for NCBI's biomedical databases like PubMed and GenBank, implementing bioinformatic algorithms and cloud pipelines for large-scale genetic data. Requires Python proficiency, SQL expertise, Linux scripting, and experience with big data handling.
Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.
Lead data engineer building ETL processes, data models, and warehouses using AWS, Redshift, PostgreSQL, and Kubernetes. Requires 8+ years experience, bachelor's degree, Python proficiency, and Agile expertise for analytics and reporting.
Build and operate scalable ML infrastructure for deploying models to IoT sleep devices. Own end-to-end pipelines, optimize performance, and collaborate cross-functionally. Requires 5+ years in ML ops, Python, AWS, and production ML deployment.
Builds scalable data infrastructure for drone telemetry ingestion, transformation, and analysis using Databricks and Palantir Foundry. Enables AI-driven insights, predictive models, and self-serve analytics for autonomy teams. Requires 5+ years experience with data engineering and software skills.
Senior Software Engineer on the Product Data Platform team builds and optimizes high-performance data, query, and search infrastructure for scalable backend systems. Requires 7+ years experience with relational databases like Postgres, JVM languages, and distributed systems expertise.
Senior Software Engineer on Product Data Platform builds and optimizes high-performance data infrastructure, distributed systems, and AI-powered products using JVM technologies. Requires 7+ years backend experience with deep relational database expertise.
Build state-of-the-art ML models to predict traffic behavior for autonomous driving, using generative sequence modeling and controllable agents for planning and simulation. Requires PhD preferred, 2+ years deploying ML systems, and expertise in PyTorch and robotics ML.
Develops and scales MPI+CUDA PDE solvers and neural operators for electromagnetic simulations on GPU clusters for IC design. Requires PhD in computational physics/math, expertise in numerical methods, C++/CUDA, HPC, and neural operators for physics problems.
Analyze compliance data for Financial Crimes Compliance, enhancing BSA/AML models, automating processes with AI, and delivering insights to regulators. Requires 2-3 years data analytics experience, advanced SQL, and blockchain knowledge.
Data Scientist leverages 30+ years of athlete/coach data to build AI/ML models, conducting exploratory analyses, collaborating cross-functionally, and deploying production solutions for endurance training platforms. Requires 2+ years experience with Python, Scikit-learn, PyTorch, TensorFlow.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.
Build and own AI features for personal finance app using GenAI, ML, prompt engineering, RAG, and multi-agent systems. Requires 5+ years engineering with 2+ years production AI/ML, strong Python, and evaluation expertise.
Research Engineer building production ML systems at the intersection of efficient inference, RL/post-training, and serving engines. Translates algorithms into scalable infrastructure improving latency, throughput, and model quality. Requires 3+ years ML systems experience and advanced degree.
Designs and builds scalable platforms for serving foundation models in robotics and autonomous vehicles. Requires 4+ years in ML infrastructure, backend systems, GPU optimization, and cloud technologies.
Founding Engineer builds full-stack Shopify app, AI video extraction pipelines, and creator tools to create commerce evidence layer from buyer videos. Requires AI-native full-stack experience, strong fundamentals, and Bay Area location.
Build ML systems for perception data in autonomous vehicles, curating diverse datasets, synthetic data frameworks, and tools to identify data gaps. Requires 4+ years software engineering with Python/C++, ML implementation experience, and BS in quantitative field.
Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.
Senior Data Scientist owns analytical frameworks, designs experiments, builds statistical/ML models, and influences product decisions across Instacart's marketplace teams. Requires 5+ years quantitative experience, SQL/Python proficiency, and advanced degree preferred.
Build and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS. Partner with Data Science and Engineering teams to enhance data quality, observability, and ML platform support. Requires 4+ years experience with Python, SQL, and cloud data stacks.
Builds and operates scalable production ML systems for real-time personalization and targeting. Requires 6+ years experience with Python, PyTorch/TensorFlow, data pipelines, and cross-functional collaboration.
Senior Analytics Engineer to own analytics transformation layer, data models, and metrics. Build trusted data foundations using dbt and modern warehouses to power insights for stakeholders across the company.
Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.
Leads data strategy and analytics for Block's Compliance team, focusing on Financial Crimes and AML. Delivers actionable insights to leaders and regulators using SQL, ETL, and visualization tools; requires 8+ years experience.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
University students contribute to generative AI projects like model training and failure mode identification, participate in focus groups, and collaborate on team challenges. Requires STEM enrollment, coding proficiency, and competitive programming experience; fully remote with flexible hours.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.
Leads design, customization, and integration of LLMs into biomedical research workflows and NCBI platforms like PubMed. Requires 3+ years hands-on LLM experience with Python, PyTorch, Hugging Face, and RAG systems; biomedical domain preferred.
Builds and launches AI-powered workflow automation products for government agencies, owning full development from needs identification to production using LLMs, RAG, and multi-agent systems. Requires 5+ years experience with generative AI and product engineering in startups.
Builds and deploys production AI systems including LLM-powered features, agents, and RAG for underwriting, pricing, and risk evaluation in insurance. Requires 5+ years backend experience, hands-on AI product shipping, and familiarity with LLMs and vector DBs.
Develops AI/ML models to transform sensor data into personalized health and sleep insights, focusing on thermoregulation, foundation models, and behavioral simulations using vast sleep datasets. Requires PhD in ML/AI-related field, 3+ years practical ML experience, and strong publications.
Founding ML Engineer builds ML strategy, production systems, and infrastructure from scratch for AI cybersecurity threat detection using LLMs. Requires 8+ years production ML experience, strong software engineering, and cloud/ML frameworks; leads team growth.
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.
Leads R&D on small language models and AI training, developing efficient architectures, optimizing performance, and ensuring safety. Collaborates with research, engineering, and product teams using Python, PyTorch, TensorFlow, or JAX.
Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.
Leads end-to-end delivery of healthcare analytics projects using real-world data, manages client relationships, and drives insights in areas like patient journeys and market analysis. Requires 3-6 years experience, quantitative degree, and proficiency in SQL/Python/R.
Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.
Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.
Develops AI-native financial modeling templates and standards for private markets platform, teaches AI agents best practices, and performs QA on automated model outputs. Requires investment banking or private equity experience with complex model building.
Owns quality for Notion AI products through context engineering, evals, data analysis, debugging, and model evaluation with top AI labs. Requires LLM experience, analytical skills, and driver mentality; no traditional coding.
Leads design and deployment of AI/ML models, prototypes, and ethical frameworks for DoD missions. Requires 8+ years in AI/ML/data science, bachelor's in relevant field, Python/TensorFlow/PyTorch experience, and Public Trust eligibility.
Develops and maintains software for NCBI's biomedical databases like PubMed and GenBank, implementing bioinformatic algorithms and cloud pipelines for large-scale genetic data. Requires Python proficiency, SQL expertise, Linux scripting, and experience with big data handling.
Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.
Lead data engineer building ETL processes, data models, and warehouses using AWS, Redshift, PostgreSQL, and Kubernetes. Requires 8+ years experience, bachelor's degree, Python proficiency, and Agile expertise for analytics and reporting.
Build and operate scalable ML infrastructure for deploying models to IoT sleep devices. Own end-to-end pipelines, optimize performance, and collaborate cross-functionally. Requires 5+ years in ML ops, Python, AWS, and production ML deployment.
Builds scalable data infrastructure for drone telemetry ingestion, transformation, and analysis using Databricks and Palantir Foundry. Enables AI-driven insights, predictive models, and self-serve analytics for autonomy teams. Requires 5+ years experience with data engineering and software skills.
Senior Software Engineer on the Product Data Platform team builds and optimizes high-performance data, query, and search infrastructure for scalable backend systems. Requires 7+ years experience with relational databases like Postgres, JVM languages, and distributed systems expertise.
Senior Software Engineer on Product Data Platform builds and optimizes high-performance data infrastructure, distributed systems, and AI-powered products using JVM technologies. Requires 7+ years backend experience with deep relational database expertise.
Build state-of-the-art ML models to predict traffic behavior for autonomous driving, using generative sequence modeling and controllable agents for planning and simulation. Requires PhD preferred, 2+ years deploying ML systems, and expertise in PyTorch and robotics ML.
Develops and scales MPI+CUDA PDE solvers and neural operators for electromagnetic simulations on GPU clusters for IC design. Requires PhD in computational physics/math, expertise in numerical methods, C++/CUDA, HPC, and neural operators for physics problems.
Analyze compliance data for Financial Crimes Compliance, enhancing BSA/AML models, automating processes with AI, and delivering insights to regulators. Requires 2-3 years data analytics experience, advanced SQL, and blockchain knowledge.
Data Scientist leverages 30+ years of athlete/coach data to build AI/ML models, conducting exploratory analyses, collaborating cross-functionally, and deploying production solutions for endurance training platforms. Requires 2+ years experience with Python, Scikit-learn, PyTorch, TensorFlow.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.
Build and own AI features for personal finance app using GenAI, ML, prompt engineering, RAG, and multi-agent systems. Requires 5+ years engineering with 2+ years production AI/ML, strong Python, and evaluation expertise.
Research Engineer building production ML systems at the intersection of efficient inference, RL/post-training, and serving engines. Translates algorithms into scalable infrastructure improving latency, throughput, and model quality. Requires 3+ years ML systems experience and advanced degree.
Designs and builds scalable platforms for serving foundation models in robotics and autonomous vehicles. Requires 4+ years in ML infrastructure, backend systems, GPU optimization, and cloud technologies.
Founding Engineer builds full-stack Shopify app, AI video extraction pipelines, and creator tools to create commerce evidence layer from buyer videos. Requires AI-native full-stack experience, strong fundamentals, and Bay Area location.
Build ML systems for perception data in autonomous vehicles, curating diverse datasets, synthetic data frameworks, and tools to identify data gaps. Requires 4+ years software engineering with Python/C++, ML implementation experience, and BS in quantitative field.
Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.
Senior Data Scientist owns analytical frameworks, designs experiments, builds statistical/ML models, and influences product decisions across Instacart's marketplace teams. Requires 5+ years quantitative experience, SQL/Python proficiency, and advanced degree preferred.
Build and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS. Partner with Data Science and Engineering teams to enhance data quality, observability, and ML platform support. Requires 4+ years experience with Python, SQL, and cloud data stacks.
Builds and operates scalable production ML systems for real-time personalization and targeting. Requires 6+ years experience with Python, PyTorch/TensorFlow, data pipelines, and cross-functional collaboration.
Senior Analytics Engineer to own analytics transformation layer, data models, and metrics. Build trusted data foundations using dbt and modern warehouses to power insights for stakeholders across the company.
Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.
Leads data strategy and analytics for Block's Compliance team, focusing on Financial Crimes and AML. Delivers actionable insights to leaders and regulators using SQL, ETL, and visualization tools; requires 8+ years experience.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
University students contribute to generative AI projects like model training and failure mode identification, participate in focus groups, and collaborate on team challenges. Requires STEM enrollment, coding proficiency, and competitive programming experience; fully remote with flexible hours.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.