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.

Data Scientist responsible for strengthening analytics across growth, product, and marketing through behavioral analysis, experimentation, dashboards, and actionable recommendations. Requires strong SQL, Python, and statistical analysis skills, plus the ability to connect user behavior with growth and retention.

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.

Leads the architecture and development of production AI products and the centralized platform supporting them, including agentic workflows, retrieval, and integrations. Requires 10+ years of software engineering experience, deep Python expertise, and strong production AI and technical leadership capabilities.

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.

Leads the architecture, roadmap, and production execution of GenAI and agentic machine-learning systems at enterprise scale. The role requires 10–12+ years of applied ML experience, expertise in retrieval and large-scale systems, and the ability to mentor senior technical teams.

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.

Build and deploy applied machine learning solutions for enterprise customers using large language models. The role requires experience leading ML teams, setting technical direction, working cross-functionally, and applying Python and modern ML frameworks to large-scale training and inference.

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 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.

Build and deploy machine learning systems powering an AI-native ITSM platform, including ticket understanding, knowledge extraction, workflow automation, and predictive insights. The role requires strong Python and ML engineering skills, experience with modern ML frameworks and MLOps, and a bachelor’s or master’s degree in a relevant field.

Researches and engineers code-generating LLMs and autonomous agent systems for enterprise automation. The role requires deep code-model expertise, strong Python and deep-learning framework skills, scalable systems experience, and a PhD with relevant 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.

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.

Leads hands-on development of AI-native, distributed systems that integrate LLMs, retrieval, and graph intelligence into enterprise IT workflows. Requires 7+ years of software engineering experience, strong architecture and API expertise, modern programming skills, and experience mentoring engineers.

Designs and builds ML systems for real-time fraud detection, including data pipelines, model deployment, and backend services in Go/Python. Requires 5+ years software engineering with applied ML experience on large datasets.

Data Analyst responsible for complex data exploration, advanced modeling, metric definition, experimentation, and translating healthcare data into strategic insights for product and business leaders. Requires 5+ years experience, deep SQL and Python/R skills, statistical expertise, and strong communication.

Builds and deploys language model-powered systems for cyber national security applications, including fine-tuning LLMs, RAG systems, and production inference. Requires 4+ years ML experience, Python/PyTorch proficiency, and LLM post-training expertise.

Builds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.

Conducts advanced LLM research for post-training, roleplay, and real-time integration into an anime-style 3D adventure game AI companion. Requires deep LLM expertise, anime passion, and ability to build scalable infrastructure on a small onsite team.

Researches and develops motion generation models (text-to-motion, audio-to-motion, facial animation) for real-time AI anime companions in narrative-driven 3D games. Requires hands-on AI model training experience and anime passion; on-site in SF or Tokyo.

Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.

Architects and leads development of scalable ML training infrastructure, including scheduling, storage, networking, and reinforcement learning systems. Requires proficiency in Go, Kubernetes expertise, distributed systems knowledge, and experience with cloud providers and ML workloads.

Leads the development and productionization of AI-powered sustainability reporting features using LLMs, embeddings, and related machine-learning technologies. Requires 5+ years of software engineering experience, including 2+ years building AI products, strong full-stack skills, and London office attendance four days per week.

Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.

Designs and implements AI solutions including ML models and LLMs to automate financial workflows and provide real-time insights in an accounting platform. Requires strong ML/DL/NLP expertise, Python, PyTorch/TensorFlow, and production deployment experience in a fast-paced startup.

Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.

Designs and scales infrastructure for evaluating multimodal generative AI models, including pipelines, metrics, and integration into training loops. Requires 5+ years in ML evaluation systems, expertise in visual data, Python, and ML frameworks like PyTorch.

Builds and optimizes scalable ML inference infrastructure using Kubernetes and GPU resources to deploy production AI models with low latency. Collaborates with ML research and product teams on model serving, orchestration, and compute efficiency.

Builds and optimizes multimodal LLM-based AI agents for enterprise conversations, integrating with systems via APIs and automating high-stakes workflows. Requires 3+ years in AI engineering, Python/PyTorch proficiency, and experience with LLMs or vision models.

Builds, deploys, and optimizes enterprise-grade AI agents for high-stakes conversations, integrating with enterprise systems and fine-tuning LLMs. Requires 3+ years in AI engineering or NLP with Python, PyTorch/TensorFlow proficiency.

12-week fellowship for PhD/MSc STEM graduates to gain hands-on experience in AI engineering, product development, and research. Fellows develop/deploy AI agents using LLMs/RAG, optimize models, and work on enterprise projects with mentorship from AI leaders.