Designs end-to-end perception architecture for autonomous systems, bridging sensing and ML teams. Leads hardware-software co-design, AI pipeline evolution, and cross-functional teams. Requires 8+ years in autonomy, PhD/MS in CS/Robotics, expertise in CV and sensors.

Designs Vision-Language-Action (VLA) frameworks and world models for general-purpose robots to reason, adapt, and achieve high task success in complex environments. Requires MS/PhD in CS/ML/Robotics, deep expertise in transformers, RL, or data systems, and PyTorch/JAX proficiency.

Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.

Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.

Leads AI-driven innovation to analyze guest behavior, detect preferences, and build personalized discovery products in Airbnb's marketplace. Requires causal inference expertise, 9+ years experience, advanced degree, and strong Python/SQL skills.

Builds, fine-tunes, and deploys multimodal AI models and agents for trucking logistics automation. Owns full ML lifecycle including data flywheels, evaluation, production adaptation, using Python, TypeScript, and leading AI APIs.

Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.

Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.

Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.

Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.

Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.

Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.

Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.

Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.

Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.

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 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.

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.

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 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.

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.

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.

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

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.

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 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.

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.

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.

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.

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.

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.

As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.

Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.

Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.

Builds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.

Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.

Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.

Embeds with marketing teams to identify high-leverage workflows, build custom AI tools/agents/automations, coach marketers on AI integration, and scale transformations for self-sufficiency. Requires 5+ years experience building transformative AI solutions and strong coaching skills.

Builds and scales Generative AI platform infrastructure using advanced ML techniques. Requires deep expertise in large-scale model training, deployment, and optimization on cloud platforms.

Senior Data Scientist develops ML models and features using device, network, and behavioral data for fraud prevention and identity verification. Requires 6+ years experience, Master's in quantitative field, Python/SQL proficiency, and production ML deployment expertise.