Build and productionize multimodal AI systems that turn unstructured healthcare documents, faxes, and transcripts into reliable structured data and automated workflows using LLMs, OCR, and voice AI.

Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.

Build and operate production agentic AI systems for Elliptic’s compliance copilot, including LLM workflows, evaluations, retrieval, APIs, and backend services. The role requires senior software engineering experience, production LLM expertise, strong TypeScript/Node.js skills, and experience mentoring engineers.

Own data and analytics end-to-end: architect internal systems, build metrics/dashboards, and translate customer and product signals into structured inputs for AI agents.

First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.

Staff Engineer building and shipping LLM-powered retirement features end-to-end. Owns architecture decisions, integrates models, and collaborates closely with product and design.

Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.

Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.

Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.

Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.

Build and govern scalable Workato integrations, automation frameworks, and data pipelines across enterprise systems. The role requires integration development experience, API expertise, familiarity with enterprise platforms, and exposure to secure AI and LLM implementations.

Senior Data Analyst building trusted data models and semantic layers to power AI-driven insights. Partners with Product, Finance, and CS teams using advanced SQL and BI tools.

Experienced data analyst partnering with GTM teams (Sales, RevOps, Marketing, CS) to deliver funnel, attribution, and revenue insights. Requires strong SQL, BI tooling, and stakeholder communication skills.

Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.

Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.

Data Scientist leading analytics for Spotify's Discovery Mode ML squad. Designs experiments, builds evaluation frameworks, and partners with ML engineers to improve model performance and customer outcomes.

Build and lead production-grade machine learning services for Coinbase’s conversational AI ecosystem, coordinating vendor and internal LLM systems through a scalable orchestration layer. The role requires 5+ years of ML and software engineering experience, strong Python skills, and expertise in modern generative AI architectures.

Lead advanced analytics for Airbnb Payments, driving data-informed decisions, experimentation, and scalable reporting to optimize global payment operations and user experiences.

Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.

Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.

Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.

Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.

Leads hands-on research and engineering to improve frontier language models for AI software engineering, owning experiments, evaluation, training, and optimization end to end. The role also mentors researchers and engineers and partners across research, product, and infrastructure teams.

Lead technical vision and execution for post-training systems that transform foundation models into intelligent, engaging products. Drive alignment algorithms, RL, and infrastructure for large-scale LLM training and serving.

Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.

Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.

Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.

Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.

Hands-on Data Engineer building the core data layer for a fast-growing AI observability startup. Own data models, pipelines, and trusted metrics across product usage, revenue, and GTM systems while partnering with Sales, RevOps, Marketing, and Finance.

Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.

Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.

Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.

Research Scientist developing large-scale native video and multimodal foundation models across architecture, training, evaluation, post-training, and inference. The role requires deep generative-modeling expertise and hands-on experience with distributed training of large-scale models.

Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.

Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.

Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.

Quant Trader managing positions, analyzing market data, modeling trading opportunities, and building tools for trading decisions and risk management. The role requires strong Python programming, quantitative reasoning, and interest in financial markets and algorithmic trading.

Lead the development and deployment of agentic AI systems, LLMs, and autonomous workflows to enhance trading operations and decision-making at a global principal trading firm. Requires 3+ years in AI roles, strong Python skills, and technical leadership experience.

Lead payments analytics for a fintech company, optimizing transaction costs vs. success rates across ACH and card rails. Requires 7+ years in payments/fintech, advanced SQL, and deep knowledge of payment mechanics.

Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.

Perception engineer building robot training data pipelines: hand/body pose estimation, multi-camera calibration, SLAM, perception model training, and TensorRT/CUDA deployment on embedded platforms.

Own ZoomInfo's PLG measurement framework, defining KPIs and leading analytics that shape product investments and growth strategy. Requires 8+ years in product/growth analytics with advanced SQL and Python.

Lead high-impact research on LLMs and agentic systems, driving post-training, reasoning, and evaluation to power enterprise AI deployments. Requires 7+ years ML research experience, PhD or equivalent, and strong publication record.

Evaluates and improves AI-generated software engineering outputs by testing coding capabilities, reviewing code and agent trajectories, and reporting quality trends. Requires software engineering expertise, 3–5 years of industry experience, proficiency in several programming languages, and API development experience.

Leads broad, ambiguous technical charters for Rippling’s AI platform, designing and building scalable infrastructure, evaluation systems, model-related tooling, and reliable distributed services. Requires 14+ years of software engineering experience, deep backend or systems expertise, and strong hands-on coding and technical leadership.

Hands-on technical leader building reusable AI Platform infrastructure for agents, automation, evaluations, data pipelines, and reliable production systems. The role requires 10–15 years of software engineering experience, strong distributed-systems and architecture skills, and continued involvement in coding and technical execution.

Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.

Analyst role focused on transportation economics, supply chain strategy, and quantitative modeling to optimize network design, carrier strategy, and cost structure. Requires 3-6 years experience, strong SQL and BI skills, and the ability to translate data into actionable recommendations for senior leadership.

Conduct research on autonomous AI agents and reinforcement learning to build self-improving systems that reason, code, and learn at scale within the Snowflake Data Cloud. Requires a PhD (or equivalent) and strong expertise in RL and agentic AI.

Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.