Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.

Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.

Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.

Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.

Leads research in computer vision, multimodal understanding, and visual generation. Develops novel models and methodologies, translates research to production, and mentors teams. Requires PhD preferred, 8+ years experience, and expertise in PyTorch, TensorFlow, transformers.

Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.

Leads market insights analysis for Lyft's top regions, identifying marketplace gaps and opportunities using data. Partners cross-functionally to develop and execute business and product strategies. Requires 3+ years in analytics/consulting, SQL proficiency, and strategic thinking.

Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.

Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.

Conducts applied research on long-horizon autonomous AI agents, focusing on evaluation, post-training, environment design, and benchmarks to improve frontier models. Builds simulations, runs experiments, ships production code, and publishes findings.

Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.

Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.

Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.

Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.

Owns end-to-end ML research initiatives developing novel architectures, training methods, and evaluation for clinical intelligence using longitudinal patient data. Requires strong ML foundation, PyTorch experience, and ability to drive ambiguous high-stakes problems to validated results.

Owns end-to-end production ML systems for clinical workflows, including training/fine-tuning LLMs for medical reasoning and question answering. Requires strong ML/software engineering, PyTorch experience, and ability to handle high-stakes ambiguity with real patient impact.

Build production systems and data pipelines that turn evaluation signals into durable datasets, replayable product simulations, and trusted verdicts for Search and Product teams. The role requires 3+ years of software engineering experience, Python and SQL proficiency, distributed data systems expertise, and AWS or lakehouse experience.

Build and optimize the production inference infrastructure powering large-scale language and multimodal models. The role requires 3+ years of software engineering experience, deep GPU performance expertise, distributed-systems experience, and proficiency across Rust, Python, and CUDA-based tooling.

Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.

Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.

Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.

Build analytical frameworks and experiments to optimize user discovery, engagement with content/social features, and creator success on a music platform. Requires 5+ years in data science, SQL/Python proficiency, and strategic insight into content ecosystems.

Develops and deploys deep learning models for motion planning and behavioral prediction in autonomous vehicles using petabytes of driving data. Requires strong Python, PyTorch/TensorFlow expertise, full ML lifecycle experience, and C++ for real-time inference.

Develops, optimizes, and deploys deep learning models for autonomous vehicles and robots, managing large datasets and training pipelines. Requires 3+ years experience with PyTorch/TensorFlow, Python, and expertise in computer vision or LLMs.

Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.

Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.

Fellows conduct research on AI safety, collaborating with Anthropic researchers to develop evaluation methods and alignment techniques. Requires strong interest in AI safety, CS/math background, and ML experience.

Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.

Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.

Builds and deploys production AI features like Notebook Agent for data science workflows, partnering with product teams on experiments, model fine-tuning, and infra. Requires senior AI/ML engineering experience with MLOps, Python/TS proficiency.

Builds and maintains enterprise DataOps platform using Kubernetes, cloud services, and data processing tools. Requires 7+ years experience, strong coding skills, and expertise in containerization, GCP/AWS/Azure, Kafka, and Airflow.

Builds and optimizes production inference pipelines for large tabular models using Triton Inference Server. Requires 5+ years in ML infrastructure, expert Python skills, and deep knowledge of inference frameworks and optimization techniques.

Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.

Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.

Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.

Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.

Build and improve retrieval, ranking, classification, and RAG systems for advanced search. The internship involves developing and evaluating machine learning models with Python and frameworks such as PyTorch, TensorFlow, or JAX, while collaborating with cross-functional engineering teams.

Manage a team of data scientists building fraud detection models and financial risk products, providing technical leadership, mentoring, and end-to-end ownership from development to production. Requires 10+ years experience, strong ML skills, production coding, and startup background.

Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.

Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.

Analyzes large-scale data, builds dashboards and visualizations, and translates stakeholder needs into reliable data solutions. Requires 3+ years of experience, Python and SQL proficiency, Snowflake or Databricks expertise, and a relevant bachelor's degree.

The Principal Software Engineer will build and scale Snowflake’s customer-facing AI Functions products and distributed AI services. The role requires 14+ years of production systems experience, strong computer science fundamentals, AI/ML expertise, and proficiency in Python or Java.

Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.

Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.

Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.

Staff Data Scientist advances ML models for healthcare claims auditing, curating data, developing precise models, and optimizing business impact for health plans. Requires expertise in SQL, Python/R, and building ML models from scratch.

Develops state-of-the-art Visual Question Answering systems for medical records using advanced NLP and Computer Vision techniques. Requires expertise in these fields, strong software engineering skills, and ability to work with noisy data to achieve production-scale model performance.

Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.

Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.

Develops and deploys end-to-end pricing models for commercial auto insurance, building feature pipelines from messy data and monitoring performance. Requires 3+ years experience with statistical modeling (GLMs, GBDTs), Python/SQL, and actuarial concepts.