Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.

Annotates and evaluates AI-generated engineering workflows and outputs using verified information, while improving model responses across civil, mechanical, electrical, and chemical engineering tasks. Requires 3+ years of engineering industry experience and familiarity with CAD, material billing, and product lifecycle management.

Early career software engineer builds and integrates AI agents and solutions using frameworks like LangChain and RAG pipelines to enhance childcare platform features. Requires bachelor's in CS/engineering, Python/JS proficiency, and AI/ML familiarity; hybrid onsite in SF office 3 days/week.

Manages data projects on Hive Data platform to support AI/ML model development, including setup, auditing, and collaboration with Product/ML teams. Requires bachelor's degree, 0-2 years experience, strong organization, and analytical skills.

Owns Lovable’s end-to-end post-training pipeline for language models, adapting reinforcement learning and preference optimization to code-generation and agent workloads. The role combines production engineering, distributed training, evaluation, deployment, and rapid experimentation.

Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.

Builds automation, tools, and frameworks for data governance, quality, and compliance using Python and Terraform. Partners with engineering teams to implement trust signals, scorecards, and AI-enhanced workflows for reliable data at scale. Requires 5+ years experience.

Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.

Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.

Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.

Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.

Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.

Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.

Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.

Builds and scales data pipelines and infrastructure powering real-time AI agents, handling ingestion from CRM, transcripts, and signals into clean representations. Requires 5+ years in data systems, proficiency in Python/SQL/DBT/warehouse tech, and real-time streaming experience.

Leads the strategy, development, and scaling of machine learning systems for content safety, policy enforcement, and compliance. The role requires production ML experience, modern frameworks, rigorous evaluation, and the ability to influence cross-functional technical direction.

Analyzes GTM data across sales, pipeline, and operations to drive strategy, growth levers, and performance insights. Partners with leadership using SQL, BI tools, and Salesforce to deliver dashboards and recommendations. Requires 5+ years in analytics.

Build and scale Blink’s data platform by developing reliable ingestion pipelines, workflow orchestration, observability, and analytics infrastructure. The role requires strong SQL and Python, modern data-stack experience, cloud tooling familiarity, and the ability to collaborate across engineering and business teams.

Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.

Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.

Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.

Designs and configures real-time charging, rating, and pricing models in SAP Convergent Charging for ride-share operations, including surge pricing, subscriptions, and integrations with billing systems. Requires 8+ years SAP BRIM experience with usage-based charging expertise.

Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.

Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.

Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.

Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.

Designs and owns architecture for production-grade AI analyst systems, including prompts, tools, context, evaluation, and safety. Partners with teams to build reliable AI capabilities for analytical workflows, emphasizing scalability and quality.

Build AI systems for taste evaluation, synthetic data, agent tooling, retrieval, crawling, inference, and user-facing experiences. The role favors hands-on experience shipping LLM and agent systems, early-stage startup experience, and comfort inventing infrastructure in ambiguous domains.

Build core AI platform infrastructure at Harvey including model routing, context engineering, agent infrastructure, and shared evaluation frameworks that power all agentic legal AI products. Requires 8+ years backend experience with 1+ year AI/ML focus and track record of technical leadership.

Forecasts demand and plans capacity for global community support operations using advanced statistical models and analytics. Partners with stakeholders to optimize resources, service levels, and costs in a multi-channel contact center environment. Requires 10+ years in forecasting/workforce analytics and strong Python/SQL skills.

Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.

Leads AI platform strategy and infrastructure for deploying AI features across Betterment's products, partnering with product, compliance, and engineering teams. Requires deep LLM expertise, fullstack experience with React/GraphQL/server languages, and production AI operations in a regulated environment.

Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.

Builds and scales ML compute platform on Kubernetes with Argo Workflows and Ray for distributed training, orchestration, and resource governance. Optimizes performance, debugs issues, and integrates tooling for ML teams at scale. Requires deep Kubernetes, systems, and programming expertise.

Conduct empirical research on AI's economic impacts, labor markets, and societal effects using external data and Python. Produce public outputs under mentorship, focusing on AI safety and policy recommendations; 4-month full-time program open to varying experience levels.

Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.

Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.

Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.

Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.

Develop machine learning systems that generate scientifically accurate, editable visuals from biological research and support natural-language figure editing. The role requires deep ML expertise and a passion for solving novel problems, with scientific or research experience as a plus.

Leads research team advancing LLM scaling, post-training, RL, and inference efficiency. Drives innovations in optimization, distributed systems, and production integration using Python/PyTorch, with deep expertise in large-scale ML.

Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.

Evaluates AI-generated medical content for accuracy, completeness, relevance, and educational usefulness. Requires an MBBS, MBChB, or MD and at least two years of medical education experience while currently teaching medical students in the UK, New Zealand, or Australia.

Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.

Analyzes revenue operations data using SQL, BI tools, and Salesforce to support sales forecasting and business decisions. Requires 5+ years in tech Sales/RevOps, Snowflake experience, and AI workflow integration.

Postdoctoral researcher leading high-impact AI projects on Mixture-of-Experts and long-context language models, training/releasing models, building open-source tools, publishing papers, and mentoring juniors. Requires recent PhD in CS/ML with strong publication record and PyTorch expertise.

Leads foundational research on agentic AI systems for scientific reasoning, including literature synthesis, hypothesis formation, coding, experiments, and data analysis. Requires PhD in ML/NLP/reasoning with expertise in language models or reinforcement learning.

Designs and implements infrastructure for training next-generation LLM architectures focused on Mixture-of-Experts and long-context models. Requires 4+ years building ML pipelines with PyTorch/JAX/TF, deep learning expertise, and strong software engineering skills.

Combines clinical expertise (MD/PA/DO) with AI to develop and refine tools for clinical documentation, decision support, and risk adjustment. Defines quality standards, optimizes prompts, evaluates outputs, and collaborates with engineering teams to enhance clinician efficiency.

Develops generative and programmatic CAD pipelines for micro-device assemblies, integrating AI-driven workflows and CAD APIs to automate design exploration and optimization. Requires CAD scripting expertise, AI knowledge, and 5+ years experience (PhD) or equivalent.