Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.

Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.

Build and scale the core database infrastructure powering Claude at Anthropic, including data plane/control plane, data movement (CDC, migrations), and caching systems that support millions of users and frontier AI research across multi-cloud environments. Requires deep expertise in distributed databases and production storage systems.

Analyst responsible for translating lending guidelines into Excel-based programmatic review templates and automated validation systems for loan portfolios. Collaborates with engineering on platform integration and supports securitization initiatives. Requires 2-4 years financial services experience and expert Excel skills.

Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.

Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.

Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.

Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.

Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.

Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.

Build and scale production multi-agent systems for customer support, integrating LLMs with internal tools and APIs. The role requires 3+ years of production ML/AI experience, strong Python and microservices expertise, and familiarity with orchestration, RAG, evaluation, and vector databases.

Build and scale AI-powered workflow automation, including prompt-based actions, custom agents, RAG systems, knowledge bases, and advanced data features. The role requires strong JavaScript and Node.js expertise, AI platform experience, and at least four years of software development experience.

3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.

Build and optimize the high-performance inference platform serving Grok at massive scale. Design distributed serving infrastructure, low-level GPU optimizations, quantization, speculative decoding, and CI/CD for production reliability and low latency.

Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.

Software Engineer on the Logistics Optimization team designing and implementing algorithms for clinician routing, scheduling, dispatch, simulations, and predictive models to optimize in-home healthcare delivery at national scale. Requires 2-3 years software engineering experience with optimization, forecasting or simulation systems, preferably in TypeScript/Python.

Staff Software Engineer building and scaling Plaid's Data Infrastructure platform (warehouses, lakehouses, Spark, streaming, orchestration). Lead projects to improve ML workflows, data freshness, ETL pipelines; mentor engineers and reduce operational burden. Requires 6+ years software engineering with deep data infrastructure expertise.

Build and ship applied machine learning features powered by generative and multimodal models, taking projects from experimentation and evaluation through production. The role requires backend Python experience, familiarity with PyTorch or JAX, and the ability to improve quality, latency, or cost.

Data Analyst partnering with Customer Success to analyze customer data from senior living communities, create dashboards and visualizations, present actionable insights in QBRs, and provide feedback to Product and Engineering. Requires 4+ years experience, advanced SQL, Python, and customer-facing skills.

Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.

Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.

Staff ML Engineer owning end-to-end lifecycle for enterprise AI at Rippling: design novel architectures (LLMs, RAG, RLHF), build evaluation and self-improving systems, and ship production ML leveraging proprietary data graph. Requires 8+ years engineering with 5+ in ML.

Senior data scientist partnering with Stripe's Security organization to model, quantify, and mitigate security risks using telemetry, logs, and ML. Provide technical leadership, mentorship, and data-driven strategy for detection, access controls, and threat protection.

Analyzes marketplace trends, financial levers, and driver earnings products to produce reporting, strategic recommendations, and product improvements. The role requires 1–3 years of data or financial analytics experience, strong SQL and quantitative skills, and excellent communication.

Senior Fraud Analyst responsible for owning customer risk rating, KYC, and fraud monitoring models at Betterment. Uses data analytics and SQL to design rules, monitor performance, reduce false positives, and partner cross-functionally with Data, Compliance, Product, and Engineering to mitigate emerging fraud threats while balancing customer experience.

Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.

Engineer optimizing RL inference stack for workloads from ablations to production training. Requires experience with large-scale distributed systems, LLM inference, and proficiency in Python/C++/Rust with PyTorch/JAX/CUDA.

Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.

Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.

Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.

Evaluates and improves model-generated responses to data science and coding tasks, including code review, debugging, visualization, and agent-trajectory assessment. Requires 3+ years of relevant data science experience, Python and SQL proficiency, and familiarity with common data formats.

Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.

Builds and owns large-scale data processing systems and pipelines for an advertising platform handling billions of requests and over 1 PB of daily data. Requires extensive Java or Scala experience, Big Data expertise, cloud and warehouse proficiency, and a bachelor's degree.

Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.

Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.

Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.

Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.

Senior Analytics Engineer owning the semantic layer, dbt pipelines, and dimensional models that power Fieldguide Insights analytics product for audit and advisory firms. Requires 4+ years modern data stack experience with advanced SQL, dbt, Python, BigQuery, and Kimball modeling.

Leads client data conversion projects, transforming historical portfolio data from legacy systems into Addepar while improving migration workflows. Requires at least two years of technology, finance, or consulting experience, Python proficiency, and knowledge of financial products and securities modeling.

Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.

Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.

Own the semantic layer by building and maintaining core dbt data models that serve as the single source of truth for business metrics, dashboards, and reverse ETL pipelines in a HIPAA-compliant environment. First analytics hire at a fast-growing AI-native healthcare company.

Lead the architecture and development of a scalable, unified AI/ML platform supporting traditional ML models, LLMs, generative AI, and multi-agent systems. Requires deep expertise in ML engineering, LLMOps, agentic frameworks, Python, cloud infrastructure, and technical leadership.

Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.

Sr. Marketing Analyst who owns the marketing analytics stack, builds attribution and predictive models, leads cross-functional projects, and serves as a strategic partner to marketing leaders by delivering actionable insights and data governance. Requires 6-8 years quantitative analytics experience including people management, expert SQL and data modeling, and B2B marketing analytics proficiency.

Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).

Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.

Lead the marketing data stack and analytics for Grafana Labs as a builder-practitioner at the intersection of data science, GTM strategy, and AI. Architect BigQuery schemas, predictive/ML models, agentic AI systems, and dual-track forecasting frameworks to drive demand generation, ROI, and executive decision-making in a high-growth SaaS/PLG environment.

Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.

Lead marketing analytics to optimize paid and organic campaigns across Meta, Google, SEO, and social. Own data pipelines, dashboards, attribution, A/B testing, and predictive modeling with SQL/Python to drive growth strategy at a high-growth fintech startup.