Conducts fundamental research on hierarchical RL agents, developing architectures for world modeling, planning, and ethologically constrained learning. Collaborates cross-functionally to translate brain-inspired principles into scalable AGI systems; requires PhD-level expertise in AI/ML and strong coding skills.

Conducts fundamental research on brain-inspired world models and AGI architectures, designing experiments on cognition, causal representations, and unsupervised learning. Collaborates with neuroscientists and engineers; requires PhD-level expertise in deep learning frameworks like PyTorch/JAX.

Conducts fundamental research on neuroscience-inspired energy-based models and hierarchical latent variable models for AGI. Designs experiments on cognition and collaborates cross-functionally to build scalable systems. Requires PhD-level expertise in deep learning and PyTorch/JAX.

Leads cross-functional strategic projects in Generative AI to drive multimillion-dollar revenue, owning data labeling operations and product enhancements. Requires 2+ years experience, strong technical skills in SQL/Python, and entrepreneurial mindset.

Builds AI-powered concierge systems for luxury travel including recommendation flows, RAG for searches, preference engines, and integrations. Requires 3+ years cloud/AI experience with LLMs, vector search, and production systems; hybrid in SF office.

Leads design, customization, and integration of LLMs into biomedical research workflows and NCBI platforms like PubMed. Requires 3+ years hands-on LLM experience with Python, PyTorch, Hugging Face, and RAG systems; biomedical domain preferred.

Builds and launches AI-powered workflow automation products for government agencies, owning full development from needs identification to production using LLMs, RAG, and multi-agent systems. Requires 5+ years experience with generative AI and product engineering in startups.

Builds and deploys production AI systems including LLM-powered features, agents, and RAG for underwriting, pricing, and risk evaluation in insurance. Requires 5+ years backend experience, hands-on AI product shipping, and familiarity with LLMs and vector DBs.

Develops AI/ML models to transform sensor data into personalized health and sleep insights, focusing on thermoregulation, foundation models, and behavioral simulations using vast sleep datasets. Requires PhD in ML/AI-related field, 3+ years practical ML experience, and strong publications.

Founding ML Engineer builds ML strategy, production systems, and infrastructure from scratch for AI cybersecurity threat detection using LLMs. Requires 8+ years production ML experience, strong software engineering, and cloud/ML frameworks; leads team growth.

Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.

Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.

Build and own OnePay’s data infrastructure, streaming transformation pipelines, and reporting systems while partnering with engineering, product, compliance, support, analytics, and data science teams. The role requires 5+ years of experience with Databricks, Spark, Scala, Python, SQL, low-latency pipelines, and AWS.

Leads R&D on small language models and AI training, developing efficient architectures, optimizing performance, and ensuring safety. Collaborates with research, engineering, and product teams using Python, PyTorch, TensorFlow, or JAX.

Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.

Build AI agents and infrastructure that autonomously conduct data analyses, make warehouses AI-readable, and create self-healing pipelines to 10x data team productivity at an AI company. Requires 6-8+ years in data science/analytics engineering, deep SQL and Python skills, product sense, and hands-on LLM/AI experience.

Leads end-to-end delivery of healthcare analytics projects using real-world data, manages client relationships, and drives insights in areas like patient journeys and market analysis. Requires 3-6 years experience, quantitative degree, and proficiency in SQL/Python/R.

Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.

Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.

Leads design and deployment of AI/ML models, prototypes, and ethical frameworks for DoD missions. Requires 8+ years in AI/ML/data science, bachelor's in relevant field, Python/TensorFlow/PyTorch experience, and Public Trust eligibility.

Develops and maintains software for NCBI's biomedical databases like PubMed and GenBank, implementing bioinformatic algorithms and cloud pipelines for large-scale genetic data. Requires Python proficiency, SQL expertise, Linux scripting, and experience with big data handling.

Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.

Build AI systems, agent harnesses, evaluation pipelines, retrieval infrastructure, crawling systems, and inference APIs that make subjective design quality measurable. The role requires experience building AI-forward products or systems, strong technical judgment, and comfort solving ambiguous startup problems.

Build and operate scalable ML infrastructure for deploying models to IoT sleep devices. Own end-to-end pipelines, optimize performance, and collaborate cross-functionally. Requires 5+ years in ML ops, Python, AWS, and production ML deployment.

Senior Software Engineer on the Product Data Platform team builds and optimizes high-performance data, query, and search infrastructure for scalable backend systems. Requires 7+ years experience with relational databases like Postgres, JVM languages, and distributed systems expertise.

Build state-of-the-art ML models to predict traffic behavior for autonomous driving, using generative sequence modeling and controllable agents for planning and simulation. Requires PhD preferred, 2+ years deploying ML systems, and expertise in PyTorch and robotics ML.

Develops and scales MPI+CUDA PDE solvers and neural operators for electromagnetic simulations on GPU clusters for IC design. Requires PhD in computational physics/math, expertise in numerical methods, C++/CUDA, HPC, and neural operators for physics problems.

This role owns financial analytics, building forecasts, scenario analyses, production-grade data models, and predictive insights around revenue, retention, and unit economics. It partners with Finance, Data, and Engineering to provide trusted analysis and narratives for leadership, the board, fundraising, and strategic decisions.

Build and evolve GTM data systems, internal applications, and AI tooling for Sales and Marketing users. The role requires 2+ years in engineering or data, strong Python and SQL skills, cloud experience, and familiarity with generative AI implementation.

Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.

Founding Engineer builds full-stack Shopify app, AI video extraction pipelines, and creator tools to create commerce evidence layer from buyer videos. Requires AI-native full-stack experience, strong fundamentals, and Bay Area location.

Build system-level debugging, validation, observability, and anomaly-analysis tooling for Cerebras’s AI hardware and software stack. The role requires strong C++ and Python skills, experience debugging complex hardware/software systems, and familiarity with compilers, runtimes, or high-performance computing.

Build ML systems for perception data in autonomous vehicles, curating diverse datasets, synthetic data frameworks, and tools to identify data gaps. Requires 4+ years software engineering with Python/C++, ML implementation experience, and BS in quantitative field.

Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.

Build and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS. Partner with Data Science and Engineering teams to enhance data quality, observability, and ML platform support. Requires 4+ years experience with Python, SQL, and cloud data stacks.

Builds and operates scalable production ML systems for real-time personalization and targeting. Requires 6+ years experience with Python, PyTorch/TensorFlow, data pipelines, and cross-functional collaboration.

Senior Analytics Engineer to own analytics transformation layer, data models, and metrics. Build trusted data foundations using dbt and modern warehouses to power insights for stakeholders across the company.

Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.

Leads data strategy and analytics for Block's Compliance team, focusing on Financial Crimes and AML. Delivers actionable insights to leaders and regulators using SQL, ETL, and visualization tools; requires 8+ years experience.

Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.

Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.

Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.

Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.

Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.

Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.

Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.

Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.

Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.

Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.

Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.