Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.

Steward Roboflow's open-source Inference engine by building an agentic-driven contribution, review, CI/CD, and testing pipeline to enable daily releases from high-volume AI-generated PRs while maintaining quality. Own model integration, community enablement, documentation, and customer education for computer vision inference across cloud and edge.

Conduct frontier security research across code, cloud, and AI technologies, developing threat models, agentic workflows, and functional prototypes that enable contextual understanding and new product capabilities. Requires 5+ years of security or security research experience and strong systems architecture expertise.

Leads hands-on architecture and implementation for an AI-powered React application builder, including LLM pipelines, distributed backend services, generation systems, and deployment infrastructure. Requires 6+ years of backend engineering experience, strong Go and Node/NestJS skills, and expertise in generative AI, reliability, and scalable systems.

Lead and mentor an MLOps team to build scalable ML infrastructure, automated pipelines, and low-latency model serving for large tabular models. Requires 7+ years MLOps experience including 3+ years leading teams, deep expertise in Kubernetes, model serving frameworks, and observability tools.

Lead and grow a team developing large-scale Reinforcement Learning and ML models for onboard autonomous vehicle behavior and driving plans. Requires MS/PhD, 5+ years production ML experience (3+ in leadership), and expertise in RL/ML for planning, LLMs, or related areas.

Staff ML Engineer building CustomerLake, Databricks' Customer Data Platform for enterprise ML/AI personalization, recommendations, churn, and LTV modeling. Requires 10+ years shipping production ML/LLM systems with strong product mindset in 0-to-1 environments.

Data Analyst on the Fraud Intelligence team responsible for evaluating third-party vendor data signals through lift analyses, backtests, and statistical frameworks to improve fraud detection outcomes. Requires 3-5 years analytical experience, strong SQL and Python/R skills, and expertise in metrics like precision/recall and A/B testing, ideally in fintech or fraud.

Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.

Build and own a near real-time data streaming and messaging platform for a logistics company. Design event-driven data pipelines, ingestion, processing, models, and APIs; requires advanced Python, SQL optimization, and real-time data systems experience.

Lead a team developing large-scale RL and ML models for autonomous vehicle behavior planning and driving decisions. Requires RL/ML expertise, production ML pipeline experience, and 3+ years in leadership.

Staff Data Engineer owning end-to-end client data migrations at Machinify. Reverse-engineer legacy healthcare systems, architect and build Spark/Airflow pipelines, ensure data fidelity via automated reconciliation, and coordinate cross-functional teams from discovery through go-live. Requires 8+ years hands-on data engineering, strong Python/SQL/Spark/Airflow, and AI-assisted development experience.

Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.

Senior Software Engineer building scalable security data pipelines and streaming APIs at Stripe. Lead design of high-throughput event processing, security signal logic, and developer-friendly platforms; requires distributed systems and data engineering expertise.

Optimize and deploy large multi-modal foundation models (LLMs, VLMs) for real-time inference on power-constrained vehicle SoCs. Focus on quantization, custom CUDA kernels, TensorRT pipelines, resource allocation, and low-latency concurrent C++ code for autonomous systems.

Staff Analytics Engineer responsible for designing and maintaining a robust business data layer in dbt as the single source of truth for Twilio's GTM metrics. Requires 8+ years experience, advanced SQL/dbt expertise, and strong stakeholder alignment skills to drive data quality, reconciliation, and analytics enablement.

Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.

Sr. Staff ML Engineer building backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace and balance long/short-term objectives. Requires MS/PhD (or equiv), 7+ years experience, strong software engineering and math skills.

Research Engineer advancing Claude's computer use capabilities through experiments, RL environments, evaluations, and infrastructure for perception and agentic tasks. Requires Python, ML training/evaluation experience, and a focus on safe AI.

Build industrial data factories and pipelines for next-generation Voice AI foundation models at Deepgram. Requires expertise in data processing stacks, statistical/deep learning methods on complex audio, Python/PyTorch, and scaling data systems for conversational speech models.

Lead applied research applying formal methods, automated reasoning, and AI (incl. LLMs) to improve correctness, reliability and velocity of Snowflake's cloud data platform and distributed systems. Translate ideas into production capabilities; requires PhD + 8+ years experience and track record of impact.

Manages data conversion projects, coordinates cross-functional delivery with client-facing teams, and improves operational tooling through Python and API-based workflows. Requires financial services knowledge, strong project coordination, communication, and problem-solving skills.

Technical leader on Datadog's APM team building and deploying GenAI/ML models for agentic investigations, automated troubleshooting, and incident triaging. Requires 10+ years experience leading large-scale GenAI initiatives end-to-end in product environments.

The Portfolio Data Operations Analyst verifies portfolio account data, investigates pipeline and feed-processing issues, and improves operational workflows. The role requires financial investment or advisory experience, strong capital-markets and trade-lifecycle knowledge, and effective stakeholder communication.

Analyzes and integrates portfolio and third-party financial data into Addepar’s data ecosystem, developing aggregations, workflows, and product improvements. The role requires strong collaboration skills, familiarity with investment-management concepts, and an interest in finance and technology.

Build, train, validate, and deploy computer vision and ML models on 2D/3D CT scan data for customer defect detection, dimensional analysis, and process control. Own full model lifecycle with manufacturing customers (70% model engineering, 30% on-site scanner operation/analysis), translate needs into product features, and contribute to internal AI/ML strategy. Requires 3+ years CV/ML experience and customer-facing skills.

Senior Data Engineer owning architecture and technical vision for ClickUp's data platform. Build scalable pipelines on AWS serverless, Snowflake, and dbt; design AI/ML infrastructure; drive cost optimization, standards, and mentor engineers. Requires deep expertise in cloud data systems and large-scale distributed architectures.

Lead Marketing Analyst serving as the primary analytics partner to Hover's Marketing organization. Build measurement and attribution frameworks, conduct deep analyses on channel performance and funnel conversion, and deliver data-driven recommendations to senior leaders to optimize growth and marketing investment.

Lead development of computational infrastructure for large-scale neuroscience research, building real-time stimulus/acquisition systems, high-throughput data pipelines, and cloud tools. Requires exceptional full-stack engineering with real-time systems experience; neuroscience background not required.

Senior Engineer building production-grade applied AI systems, LLM-powered tools, retrieval/memory patterns, and human-in-the-loop workflows to create organizational intelligence for home care operations. Requires Python experience, production system design skills, and cross-functional collaboration.

Research Engineer focused on optimizing and stabilizing large-scale GPU training for multimodal generative models. The role combines low-level kernel and precision work, distributed training debugging, profiling, benchmarking, and close collaboration with researchers.

Leads day-to-day data center operations, facility relationships, infrastructure deployments, and local technical teams across Western Canada. Requires 5–10+ years of critical-facility experience, MEP knowledge, vendor-management ability, and hands-on leadership.

Senior Data Scientist building, improving, and deploying ML models for credit risk, fraud detection, and transaction optimization at a consumer fintech company. Requires 5+ years data science experience, advanced degree, Python/SQL/ML expertise, and end-to-end model ownership from ideation to production A/B testing.

Lead Data Scientist responsible for building, deploying, and owning ML models for credit risk, fraud detection, and payment optimization at a consumer fintech company. Requires 6+ years of data science experience, advanced degree, end-to-end modeling expertise, and strong cross-functional communication skills.

Lead a team of analysts and data scientists embedded in the sales process to build data-driven business cases, conduct retro studies on pilot data, and deliver executive presentations that support fraud and identity solution sales. Requires 8+ years experience including 5+ years managing teams, strong analytics, storytelling, and consultative sales skills.

Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.

Build and scale Pigment’s internal finance systems through multidimensional modeling, automated data pipelines, AI agents, and financial workflows. The role requires 3–6 years of FinOps, RevOps, finance analytics, or analytics engineering experience, plus accounting fluency and French and English proficiency.

Build specialized evals and automated pipelines to measure and improve answer quality for Perplexity's LLM-powered search engine, focusing on retrieval, tool calls, and visual rendering. Requires 4+ years in data science/ML, strong Python/SQL, and cloud experience (MS/PhD preferred).

Leads architecture and hands-on development for Snowflake’s declarative data platform, specializing in streaming ingestion, incremental processing, and dynamic tables. The role requires 14+ years of software engineering experience, deep distributed-systems expertise, and the ability to influence technical direction across organizations.

Software Engineer on the Storage team owning the data layer (databases, caches, scaling strategies) that underpins all Cursor products. Design multi-database architectures, build query guardrails, define storage best practices, and own cache infrastructure for reliability and growth.

Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.

Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.

Research engineer focused on post-training LLMs and agents for legal work. Requires hands-on experience training open-weight models and strong Python/research engineering skills.

Lead architect and builder of large-scale ASR/NLP/LLM systems for Otter's conversational intelligence products. Owns end-to-end ML lifecycles from research to production deployment, mentoring engineers and setting technical direction.

Lead projects building and deploying large-scale ASR, NLP, and LLM systems for meeting intelligence. Requires 5+ years building production ML systems with PyTorch/JAX and experience with speech/language models.

Build full-stack AI prototypes and agentic systems to pressure-test venture ideas. Requires 3+ years building production AI applications with strong frontend/backend fluency and frontier coding agent expertise.

Builds and maintains reproducible multi-omics data pipelines and analysis workflows supporting NCI cancer research. Requires strong Python/R skills and experience with at least two omics data types.

Build and evolve auction, bidding, and budgeting ML systems that power Reddit Ads. Design optimization algorithms balancing advertiser performance, user experience, and marketplace efficiency.

Economist (up to 5 years post-PhD) conducting empirical research on AI’s economic impacts using large datasets, causal inference, and structural modeling. Requires PhD and strong econometrics/SQL/Python skills.

Senior Data Analyst building the analytics layer for Confido's CPG platform and customers. Design dashboards, develop KPIs, write complex SQL, and deliver insights on financial/operational/retailer data to drive decisions.