Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.

Train frontier models to operate computers, browsers, and desktops. Design experiments, build evals, own post-training pipelines (RL, data, graders), and ship improvements into OpenAI agents.

Train frontier agents to interface with professional software via code, APIs, and structured integrations. Design experiments, own post-training improvements (RL, evals, data), and ship capabilities into major model runs.

Context Researcher on the Agent Post-Training team scaling compute on context for frontier agent models. Designs experiments, owns post-training improvements, builds evals, and ships capabilities into Codex and ChatGPT.

Researcher building frontier RL environments, evaluations, and training signals to steer OpenAI's largest agent training runs and measure model capabilities.

Help shape OpenAI agent personality by turning qualitative collaboration insights into evals, training data, reward signals, and model improvements that reach production.

Improve agentic model capabilities, reliability, and product fit for power users and API developers through evals, training data, and post-training interventions.

Research engineer/scientist building and evaluating vision capabilities for Claude models. Requires 7+ years ML/computer vision experience and work across pretraining, RL, and agentic infrastructure.

Senior engineer building and scaling Mercury's LLM-powered financial assistant Command. Owns full-stack AI product development from system prompts and agentic workflows to eval infrastructure and production reliability.

Build and deploy AI systems (LLMs, bandits) for monetization, balancing revenue and retention. Requires advanced ML degree or equivalent, applied large-model experience, and leadership skills.

Build and deploy ML models for entity resolution and knowledge graph expansion on large-scale China-related data. Requires 4+ years clustering ML experience and end-to-end production ML with Python/SQL.

The Product Data Analyst will guide product decisions through metrics, experimentation, funnel and cohort analysis, and actionable recommendations. The role requires advanced SQL, Python, end-to-end A/B testing experience, and the ability to leverage AI agents for efficient analytical workflows.

The Engineering Data Analyst owns R&D analytics models, reporting reliability, data quality, and self-service insights. The role requires strong SQL, data modeling, stakeholder communication, and experience partnering with engineering teams.

Design and build scalable big data systems and ETL pipelines using Spark, Kafka, Hive and related technologies. Requires strong data modeling, SQL, and experience with AI coding assistants.

Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.

Builds trusted data models, pipelines, and automated workflows for Linktree’s Strategy and Finance function. The role requires 4–5+ years of data experience, strong SQL and modelling skills, Python automation capability, and effective partnership with non-technical stakeholders.

Own the architecture, model design, and production reliability of Taskrabbit's core ranking and matching system for its two-sided marketplace. Requires 8+ years building production ML systems with deep expertise in ranking/recommenders, debiasing, and experimentation at scale.

Lead and grow a data science team building predictive models for credit risk, payments, and consumer financial products. Drive adoption of AI tools and partner with product and engineering on roadmap and impact.

Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.

Data Scientist focused on policy work, transforming internal usage and survey data into evidence for policymakers. Requires Python, SQL, causal inference expertise, and experience producing external-facing analyses.

Data Scientist embedded in marketing to define metrics, run experiments, and build analytics systems that drive customer acquisition and lifecycle performance.

Build and integrate real-time perception algorithms for autonomous aircraft, including object detection, multi-target tracking, sensor fusion, and state estimation across vision, radar, and inertial sensors. The role requires a relevant engineering degree and 7–10+ years of related experience depending on education.

Research Engineer/Scientist improving model capabilities for personalized AI experiences. Focus on tool-use, instruction following, evaluations, and training improvements. Requires strong ML engineering and research experience.

Improve capabilities, reliability, and product fit of OpenAI's agentic models through research, infrastructure, evals, and training. Work across RL, data, model behavior, and product integration for frontier agents.

Hybrid ML/SRE role owning reliability, security, and safety of a large fleet of generative media model APIs (image, video, audio). Build observability for ML-specific failures, harden deployments, operationalize safety systems, lead incident response, and improve GPU fleet efficiency.

Lead analytics for Brigit's new Line of Credit product, driving product insights, experiments, profitability forecasting, and underwriting optimization in a hybrid fintech environment.

Build and maintain scalable data pipelines and platforms that enable AI applications to securely access trusted data. Partner with analytics, marketing, and product teams to deliver production-grade data systems.

Build and scale real-time TTS serving infrastructure for voice AI models, from GPU inference engines to production APIs. Requires hands-on experience with multinode ML serving frameworks, distributed inference, and cloud/SRE practices.

Technical internships and new graduate opportunities involve tailored work for curious, resourceful builders across Medal and General Intuition, focused on action models and world models for virtual and physical environments.

Principal-level engineer to define and lead Snowflake's core data engineering and streaming primitives (Streams, Tasks, Dynamic Tables) at cloud scale. Requires 15+ years building large-scale distributed data systems and deep expertise in stream processing or data transformation.

Design and maintain scalable data pipelines and lake architecture on GCP/AWS to power analytics, trading tools, and ML initiatives. Requires 5+ years experience, strong SQL/Python, dbt, orchestration tools, and cloud infrastructure experience.

Data Analyst embedded in Product & Engineering to own support reporting, dashboards, and Voice of Customer analysis that drives product and operational decisions.

Manage and mentor a team of data scientists building fraud detection models and financial risk products. Own end-to-end model development from data acquisition through production, while driving technical direction and cross-functional planning.

Leads the architecture, development, integration, and lifecycle ownership of autonomous behaviors and motion-planning software for unmanned platforms. Requires a relevant engineering degree, production C++ expertise, and at least seven years of experience in autonomy, planning, optimization, integration, or flight controls.

Build and optimize backend infrastructure that powers high-performance generative AI workloads. The role requires experience scaling enterprise machine-learning systems and working with ML infrastructure such as PyTorch, Vertex AI, or SageMaker.

Own the infrastructure connecting massive gameplay data pipelines, GPU clusters, storage, and production inference for action and world models. The role requires substantial hard-infrastructure ownership, hands-on coding, and experience taking systems from design through production.

The Member of Technical Staff will train action policies and world models while tackling high-impact problems across research, engineering, and infrastructure. The role is flexible and matched to demonstrated technical strengths.

Build and deploy autonomous AI agents that navigate websites, execute workflows, and integrate with APIs and SaaS platforms using LLMs and browser automation tools.

Founding product data scientist driving PLG and B2B growth strategy through experimentation, analytics, and opportunity sizing. Requires 5-8 years experience with 3+ years in growth, strong SQL/Python, and A/B testing expertise.

Build and deploy cutting-edge ML and Generative AI systems to transform Airbnb's customer support experience, focusing on LLM fine-tuning, RAG, and intelligent service automation.

Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver high-quality, versioned datasets and infrastructure.

Senior engineer building and operating Brex’s data platform and infrastructure, partnering with product and analytics teams to deliver data-backed products. Requires 5+ years in data infra/platform roles and experience with Snowflake, Flink, Airflow, dbt, Kafka, and Kotlin/Python.

Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.

Senior Data Analyst embedded in payments platform team analyzing ACH/card transaction costs, success rates, failure patterns, and predictive models to optimize routing and collection strategies.

Build metrics, dashboards, and tooling to track clinical data coverage across the Zus network. Investigate gaps, partner with support and product teams, and automate workflows using SQL and Python.

Lead ML engineering on OpenAI's Integrity team to build, deploy, and optimize LLMs and classifiers for content understanding, abuse prevention, and platform safety. Requires advanced degree, deep learning expertise, and LLM fine-tuning experience.

Leads and scales an India-based machine learning organization, owning production ML systems and measurable business impact across risk, growth, personalization, and operations. Requires 7+ years of industry experience, people-management experience, and strong Python, SQL, and applied ML expertise.

Lead data strategy and build ETL infrastructure, integrations, and reusable components for internal enterprise systems. Requires 5+ years experience, strong Java/Python, SQL, and API integration skills.

Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.

Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.