Advances small, high-performance language models for retrieval, application, and code generation. Requires 2+ years ML research/production experience, Python/PyTorch/JAX fluency, optimization expertise, and advanced degree.
Builds and productionizes LLM-powered agent workflows, focusing on orchestration, evaluation, reliability, safety controls, and product iteration. Requires strong agentic systems expertise and engineering skills for scalable AI systems.
Designs and runs massive-scale data pipelines for ingestion, normalization, enrichment, and delivery across 80M+ companies and 800M+ people. Manages data operations, BPO vendors, partnerships, monitoring, and cost optimization using Python, Dagster, and DuckDB.
Build scalable data infrastructure to ingest and process millions of hardware telemetry data points per second. Requires 7+ years in data engineering, streaming systems like Flink/Kafka, databases like PostgreSQL/Druid, and languages like Go/Rust/Python.
AI Enablement Engineers guide enterprise teams in adopting Devin AI software engineer, leading workshops, pair programming on real projects, and scaling enablement programs globally. Requires 3+ years software engineering experience in Python/JS, strong communication, and customer-facing skills.
Builds and optimizes LLM-driven features, agentic workflows, and proprietary AI models for Bubble's visual app development platform. Requires Master's/PhD + 2+ years or 5+ years ML/software experience with transformers, RAG, and AI tools.
Lead AI research defining the agenda for trustworthy agentic systems, memory, retrieval, and evaluation frameworks. PhD required with 5+ years focused on LLMs/agents and a strong publication record; work ships directly to production for high-stakes financial users.
Designs and builds scalable agentic systems for generating and QA'ing reinforcement learning environments that teach AI models to code. Collaborates with AI researchers using TypeScript, React, NodeJS stack in a tight-knit founding team.
Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.
Develops and optimizes transformer-based vision-language foundation models for physical security, owning full-cycle training, fine-tuning, compression, and deployment for real-time inference on images, videos, and text. Requires PhD/Master's in CS/EE, hands-on ML expertise with PyTorch/TensorFlow, Transformers, and ViTs.
Builds, evaluates, and deploys LLM-driven features like document analysis and chat experiences using models from OpenAI, Anthropic, and Gemini. Requires 5+ years in software engineering and AI/ML, Python proficiency, and product thinking for scalable systems.
Develop and optimize real-time multi-sensor fusion and state estimation algorithms (Kalman/particle filters, IMUs, radar, cameras) for autonomous X-BAT VTOL drone operation in contested environments on the GNC team.
Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.
Applied AI Researcher on System Discovery team explores new AI system architectures, prototypes human-AI collaborations, and draws cross-domain insights to redefine enterprise workflows. Requires proven research track record, expertise in compound AI systems and agentic techniques, strong programming for rapid prototyping.
Designs self-constructing AI systems that autonomously generate, assemble, and refine subsystems using meta-learning, program synthesis, and evolutionary methods. Requires proven research in modular AI architectures, daily AI tool usage, and strong prototyping skills.
Designs feedback-driven AI architectures for system self-improvement, enabling autonomous evolution through reflection, retraining, and adaptation. Requires proven research in compound AI systems, daily AI tool usage, and strong prototyping skills.
Designs and researches compound AI systems integrating LLMs, agents, and execution components for reliable enterprise workflows. Requires proven AI research track record, daily AI tool usage, strong prototyping skills, and expertise in agentic techniques.
Develops and evaluates post-training techniques like supervised fine-tuning, RLHF/DPO, and continual adaptation to align foundation models with enterprise systems. Requires expertise in adapting LLMs/SLMs, compound AI systems, and strong prototyping skills.
Designs and constructs AI benchmarks and evaluation frameworks to measure reasoning, reliability, and real-world impact of intelligent systems. Requires experience with model evaluations, statistical rigor, building with AI models, and strong programming for prototypes.
Builds and deploys production ML models for real-time voice AI agents, fine-tuning LLMs and audio models, running benchmarks and human evaluations, and maintaining ML infrastructure for high-scale performance.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.
Leads end-to-end data science projects from ideation to deployment, building scalable ML models and pipelines to drive business impact. Requires 5+ years in ML, Python data stack, cloud infrastructure, and strong communication skills.
Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.
Builds and scales AI agents for autonomous patient recruitment, screening, data collection, and 24/7 support in clinical trials. Focuses on ML models, multi-channel LLM deployment, and integrating legacy healthcare systems.
Leads development of high-performance data lakes and ETL pipelines for petabyte-scale cyber operations data. Partners with engineers and analysts to build reliable data systems, drives technical initiatives, and mentors team members. Requires 8+ years experience and TS/SCI clearance.
Senior Data Scientist extracts insights from healthcare data, models user behavior, designs A/B tests, and evaluates AI models to drive product improvements and business decisions. Requires 8+ years in Python, R, SQL analytics and 5+ years in product-facing roles.
Develops and optimizes OpenAI's inference infrastructure for AMD GPUs, handling low-level kernel performance, distributed execution, and integration with serving frameworks like vLLM and Triton. Requires expertise in GPU programming with HIP/CUDA and distributed systems scaling.
AI/ML research intern building prototypes for sleep fitness applications like multimodal activity understanding, time-series forecasting, and personalized thermoregulation. Works with cross-functional team on data-driven solutions; requires student status in CS/data science/ML-related field, prefers research experience and ML proficiency.
Leads development of proprietary AI reasoning model TRAM for interpreting global trade law, building data pipelines, fine-tuning LLMs, and evaluation frameworks for high-speed, accurate compliance determinations. Requires AI product experience, especially RAG systems and model fine-tuning.
Designs and implements novel causal inference algorithms and production systems for marketing attribution challenges at enterprise scale. Requires 5+ years shipping research code, strong math/stats background, Python proficiency, and customer collaboration.
Develops evaluation methods, alignment techniques, and adversarial testing for large language models to ensure safety and alignment with human values. Requires PhD in ML/CS, production code skills, GPU experience, and transformers/RL expertise.
Owns analytics and experimentation for checkout, payments, subscriptions, and pricing to boost revenue, reduce churn, and scale globally. Requires 5+ years in data science or product analytics with SQL/Python fluency and A/B testing expertise in high-growth/fintech settings.
Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.
Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.
Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.
Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.
Designs, builds, and productionizes scalable ML systems using physiological data to deliver personalized health metrics. Requires 4+ years ML engineering experience, strong Python, cloud deployment, and backend skills.
Reconciles financial and transactional data from sources like Stripe and Shopify for accurate sales tax filings. Normalizes data, troubleshoots onboarding issues, supports teams with insights, and improves DBT pipelines. Requires strong SQL, analytical skills, and experience with messy datasets.
Designs, builds, and iterates on AI/ML models for personalization, query understanding, and content discovery. Requires 5+ years in ML, deep learning expertise (PyTorch/TensorFlow/JAX), Python, and full ML lifecycle ownership.
Advances AI products through post-training SOTA LLMs using supervised and reinforcement learning techniques on rich query datasets. Owns data pipelines, training frameworks, and model integration while collaborating across teams. Requires 2-6+ years in large-scale LLMs and Python/PyTorch expertise; PhD preferred.
Designs, builds, and deploys generative AI systems including LLM-based code reviews, agentic workflows, and RAG pipelines for developer productivity tools. Requires 3+ years in ML/LLM production systems, Python/TypeScript proficiency, and AI frameworks like LangChain.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.
Develops and deploys AI/ML models including fine-tuning LLMs and multi-modal systems from concept to production. Requires strong AI/ML skills from top CS/EECS/Math/Physics programs and proven production experience.
Partners with government agencies to develop and deploy GenAI applications using OpenAI API, from strategy to production. Requires 7+ years public sector technical consulting, TS/SCI clearance, and ML implementation experience.
Develops advanced systems for human-in-the-loop AI data alignment using RLHF/DPO, improves data quality, and builds AI-assisted labeling tools. Requires Master's/PhD, 3+ years ML experience, Python/PyTorch proficiency, and top-tier publications.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
AI Research Scientist explores novel LLM modeling, NLP, and reasoning approaches for healthcare applications, prototypes capabilities, and deploys them into production with engineering and product teams. Requires strong ML/NLP background with publications and hands-on deep learning experience.
Builds and deploys production-grade AI agents and workflows for business functions like marketing, recruiting, and product. Requires 3+ years experience shipping AI/ML apps, including LLM systems, with strong Python/TypeScript skills.
Develops full-stack AI features for legal contracting platform using TypeScript, React, Node.js, and LLMs. Builds scalable SaaS products like summarization and redlining, collaborating with product and design teams to deliver high-impact capabilities.
Designs long-term memory architectures for LLMs, builds multi-type memory systems, researches agent memory sharing and context management, and runs evaluations. Requires deep LLM/retrieval expertise and impactful research track record.
Advances small, high-performance language models for retrieval, application, and code generation. Requires 2+ years ML research/production experience, Python/PyTorch/JAX fluency, optimization expertise, and advanced degree.
Builds and productionizes LLM-powered agent workflows, focusing on orchestration, evaluation, reliability, safety controls, and product iteration. Requires strong agentic systems expertise and engineering skills for scalable AI systems.
Designs and runs massive-scale data pipelines for ingestion, normalization, enrichment, and delivery across 80M+ companies and 800M+ people. Manages data operations, BPO vendors, partnerships, monitoring, and cost optimization using Python, Dagster, and DuckDB.
Build scalable data infrastructure to ingest and process millions of hardware telemetry data points per second. Requires 7+ years in data engineering, streaming systems like Flink/Kafka, databases like PostgreSQL/Druid, and languages like Go/Rust/Python.
AI Enablement Engineers guide enterprise teams in adopting Devin AI software engineer, leading workshops, pair programming on real projects, and scaling enablement programs globally. Requires 3+ years software engineering experience in Python/JS, strong communication, and customer-facing skills.
Builds and optimizes LLM-driven features, agentic workflows, and proprietary AI models for Bubble's visual app development platform. Requires Master's/PhD + 2+ years or 5+ years ML/software experience with transformers, RAG, and AI tools.
Lead AI research defining the agenda for trustworthy agentic systems, memory, retrieval, and evaluation frameworks. PhD required with 5+ years focused on LLMs/agents and a strong publication record; work ships directly to production for high-stakes financial users.
Designs and builds scalable agentic systems for generating and QA'ing reinforcement learning environments that teach AI models to code. Collaborates with AI researchers using TypeScript, React, NodeJS stack in a tight-knit founding team.
Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.
Develops and optimizes transformer-based vision-language foundation models for physical security, owning full-cycle training, fine-tuning, compression, and deployment for real-time inference on images, videos, and text. Requires PhD/Master's in CS/EE, hands-on ML expertise with PyTorch/TensorFlow, Transformers, and ViTs.
Builds, evaluates, and deploys LLM-driven features like document analysis and chat experiences using models from OpenAI, Anthropic, and Gemini. Requires 5+ years in software engineering and AI/ML, Python proficiency, and product thinking for scalable systems.
Develop and optimize real-time multi-sensor fusion and state estimation algorithms (Kalman/particle filters, IMUs, radar, cameras) for autonomous X-BAT VTOL drone operation in contested environments on the GNC team.
Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.
Applied AI Researcher on System Discovery team explores new AI system architectures, prototypes human-AI collaborations, and draws cross-domain insights to redefine enterprise workflows. Requires proven research track record, expertise in compound AI systems and agentic techniques, strong programming for rapid prototyping.
Designs self-constructing AI systems that autonomously generate, assemble, and refine subsystems using meta-learning, program synthesis, and evolutionary methods. Requires proven research in modular AI architectures, daily AI tool usage, and strong prototyping skills.
Designs feedback-driven AI architectures for system self-improvement, enabling autonomous evolution through reflection, retraining, and adaptation. Requires proven research in compound AI systems, daily AI tool usage, and strong prototyping skills.
Designs and researches compound AI systems integrating LLMs, agents, and execution components for reliable enterprise workflows. Requires proven AI research track record, daily AI tool usage, strong prototyping skills, and expertise in agentic techniques.
Develops and evaluates post-training techniques like supervised fine-tuning, RLHF/DPO, and continual adaptation to align foundation models with enterprise systems. Requires expertise in adapting LLMs/SLMs, compound AI systems, and strong prototyping skills.
Designs and constructs AI benchmarks and evaluation frameworks to measure reasoning, reliability, and real-world impact of intelligent systems. Requires experience with model evaluations, statistical rigor, building with AI models, and strong programming for prototypes.
Builds and deploys production ML models for real-time voice AI agents, fine-tuning LLMs and audio models, running benchmarks and human evaluations, and maintaining ML infrastructure for high-scale performance.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.
Leads end-to-end data science projects from ideation to deployment, building scalable ML models and pipelines to drive business impact. Requires 5+ years in ML, Python data stack, cloud infrastructure, and strong communication skills.
Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.
Builds and scales AI agents for autonomous patient recruitment, screening, data collection, and 24/7 support in clinical trials. Focuses on ML models, multi-channel LLM deployment, and integrating legacy healthcare systems.
Leads development of high-performance data lakes and ETL pipelines for petabyte-scale cyber operations data. Partners with engineers and analysts to build reliable data systems, drives technical initiatives, and mentors team members. Requires 8+ years experience and TS/SCI clearance.
Senior Data Scientist extracts insights from healthcare data, models user behavior, designs A/B tests, and evaluates AI models to drive product improvements and business decisions. Requires 8+ years in Python, R, SQL analytics and 5+ years in product-facing roles.
Develops and optimizes OpenAI's inference infrastructure for AMD GPUs, handling low-level kernel performance, distributed execution, and integration with serving frameworks like vLLM and Triton. Requires expertise in GPU programming with HIP/CUDA and distributed systems scaling.
AI/ML research intern building prototypes for sleep fitness applications like multimodal activity understanding, time-series forecasting, and personalized thermoregulation. Works with cross-functional team on data-driven solutions; requires student status in CS/data science/ML-related field, prefers research experience and ML proficiency.
Leads development of proprietary AI reasoning model TRAM for interpreting global trade law, building data pipelines, fine-tuning LLMs, and evaluation frameworks for high-speed, accurate compliance determinations. Requires AI product experience, especially RAG systems and model fine-tuning.
Designs and implements novel causal inference algorithms and production systems for marketing attribution challenges at enterprise scale. Requires 5+ years shipping research code, strong math/stats background, Python proficiency, and customer collaboration.
Develops evaluation methods, alignment techniques, and adversarial testing for large language models to ensure safety and alignment with human values. Requires PhD in ML/CS, production code skills, GPU experience, and transformers/RL expertise.
Owns analytics and experimentation for checkout, payments, subscriptions, and pricing to boost revenue, reduce churn, and scale globally. Requires 5+ years in data science or product analytics with SQL/Python fluency and A/B testing expertise in high-growth/fintech settings.
Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.
Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.
Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.
Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.
Designs, builds, and productionizes scalable ML systems using physiological data to deliver personalized health metrics. Requires 4+ years ML engineering experience, strong Python, cloud deployment, and backend skills.
Reconciles financial and transactional data from sources like Stripe and Shopify for accurate sales tax filings. Normalizes data, troubleshoots onboarding issues, supports teams with insights, and improves DBT pipelines. Requires strong SQL, analytical skills, and experience with messy datasets.
Designs, builds, and iterates on AI/ML models for personalization, query understanding, and content discovery. Requires 5+ years in ML, deep learning expertise (PyTorch/TensorFlow/JAX), Python, and full ML lifecycle ownership.
Advances AI products through post-training SOTA LLMs using supervised and reinforcement learning techniques on rich query datasets. Owns data pipelines, training frameworks, and model integration while collaborating across teams. Requires 2-6+ years in large-scale LLMs and Python/PyTorch expertise; PhD preferred.
Designs, builds, and deploys generative AI systems including LLM-based code reviews, agentic workflows, and RAG pipelines for developer productivity tools. Requires 3+ years in ML/LLM production systems, Python/TypeScript proficiency, and AI frameworks like LangChain.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.
Develops and deploys AI/ML models including fine-tuning LLMs and multi-modal systems from concept to production. Requires strong AI/ML skills from top CS/EECS/Math/Physics programs and proven production experience.
Partners with government agencies to develop and deploy GenAI applications using OpenAI API, from strategy to production. Requires 7+ years public sector technical consulting, TS/SCI clearance, and ML implementation experience.
Develops advanced systems for human-in-the-loop AI data alignment using RLHF/DPO, improves data quality, and builds AI-assisted labeling tools. Requires Master's/PhD, 3+ years ML experience, Python/PyTorch proficiency, and top-tier publications.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
AI Research Scientist explores novel LLM modeling, NLP, and reasoning approaches for healthcare applications, prototypes capabilities, and deploys them into production with engineering and product teams. Requires strong ML/NLP background with publications and hands-on deep learning experience.
Builds and deploys production-grade AI agents and workflows for business functions like marketing, recruiting, and product. Requires 3+ years experience shipping AI/ML apps, including LLM systems, with strong Python/TypeScript skills.
Develops full-stack AI features for legal contracting platform using TypeScript, React, Node.js, and LLMs. Builds scalable SaaS products like summarization and redlining, collaborating with product and design teams to deliver high-impact capabilities.
Designs long-term memory architectures for LLMs, builds multi-type memory systems, researches agent memory sharing and context management, and runs evaluations. Requires deep LLM/retrieval expertise and impactful research track record.