Oversee the lifecycle, quality, governance, and publication of research data across scientific programs. The role requires 3–5+ years of research data-management experience, strong metadata and FAIR-data expertise, and the ability to collaborate with researchers and engineers.

Research Engineer focused on building and deploying real-time audio and speech models for conversational voice agents. The role requires experience with speech or multimodal machine learning, production inference, Python, and PyTorch, with emphasis on taking research from prototype to measurable production impact.

Research Engineer focused on making conversational AI agents safe, reliable, and controllable in production. The role develops evaluations, safeguards, post-training methods, and monitoring systems, requiring 2+ years of AI/ML or safety experience and strong Python and production engineering skills.

Research and build safety models, evaluations, and runtime safeguards for conversational AI agents, addressing prompt injection, unsafe tool use, privacy, and policy risks. Requires 4+ years in AI/ML engineering, research, or safety plus experience deploying and evaluating language models or agentic systems.

Staff Software Engineer responsible for architecting, building, and operating Commure’s data warehouse platform, including CDC, lakehouse, query, transformation, and analytics layers. Requires 6+ years of software engineering experience and broad expertise across modern production data infrastructure.

Conduct applied research on foundation models for fraud detection using large-scale behavioral and financial-risk data. The role spans experimentation, evaluation, production deployment, and cross-functional work on model governance, requiring 4+ years of applied ML experience and strong Python and SQL skills.

Build and operate low-latency systems that capture, normalize, and distribute real-time market data for institutional trading. The role requires backend engineering experience, Java or C++, market data infrastructure knowledge, and exchange connectivity expertise.

Build and operate production ML and AI services using Python, LLM APIs, and robust software engineering practices. The role requires 6+ years of professional software experience, including production ML systems, and partners closely with product and engineering teams.

Build and operate LLM-powered agents that automate business workflows, integrating systems of record through MCP and validating behavior with structured evaluations. Requires 5+ years of software development experience, strong Python and SQL, and hands-on experience shipping agents to production.

Evaluates and improves AI-generated clinical outputs, partnering with product and engineering teams to establish safety, accuracy, and clinical-quality standards. Requires an MD, DO, or equivalent clinical doctorate, substantial patient-care experience, strong clinical judgment, and the ability to learn AI evaluation techniques.

Senior Data Engineer responsible for designing and operating scalable data pipelines and platform capabilities across Snowflake and AWS. The role requires 5+ years of production data engineering experience, strong SQL and Python skills, and expertise in ETL/ELT, orchestration, quality, and observability.

Leads hands-on development and deployment of production AI agents and workflows, sets technical standards, and mentors engineers. Requires 4+ years of software engineering experience, production LLM application experience, and strong Python or TypeScript skills.

Senior AI engineer owning production systems for real-time speech models and AI voice agents. The role requires 5+ years of production software experience, Python, model serving and inference optimization, cloud and distributed systems expertise, and strong reliability and operations skills.

Leads development of speech models, decoders, and low-latency inference systems for next-generation voice agents. Requires 5+ years in speech ML or related audio AI, strong Python and PyTorch experience, and the ability to guide technical direction and mentor engineers.

Own machine learning end to end, from modeling messy clinical data through production deployment, monitoring, and infrastructure. The role requires 7+ years of experience building scalable ML systems, strong software and data engineering skills, and proficiency with Python, SQL, and cloud platforms.

Owns data science and decisioning for onboarding fraud, identity, and KYC, developing predictive models, experiments, vendor evaluations, and monitoring systems. Requires 5+ years in data science or risk analytics, strong Python and SQL, and experience with adversarial classification problems.

Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.

Owns reusable patterns, standards, and tooling for production agentic service workflows, guiding platform priorities, automation measurement, and quality governance. Requires 8+ years in operations, product, or AI, hands-on agentic workflow experience, and strong LLM, metrics, and cross-functional influence skills.

Applied AI Research Engineer who tests model capabilities, builds demos and evaluations, supports strategic customer implementations, and translates field insights into product and research direction. Requires 6+ years of technical experience, programming proficiency, LLM development experience, and strong communication skills.

Build and scale data pipelines, reusable datasets, and validation frameworks supporting business intelligence, marketing, and data science. The role requires strong Python and SQL skills, modern data-stack experience, and at least four years of software or data engineering experience.

Build and optimize scalable data pipelines, reusable datasets, and federated data quality systems for healthcare analytics. The role requires at least 2 years of data or software engineering experience and strong Python, SQL, AWS, orchestration, database, and warehouse expertise.

Staff Data Scientist leading product and content-data analysis, evaluation frameworks, metrics, and self-serve analytical foundations for content safety and taxonomy. The role requires deep product data science experience, strong statistics, SQL and Python proficiency, and cross-functional leadership.

Leads a team responsible for nonprofit customer data conversions, owning delivery quality, prioritization, team development, and cross-functional coordination. Requires analytics or conversion delivery experience, people leadership, SQL, Excel, and data validation skills.

Leads hands-on demand generation across LinkedIn, email, events, landing pages, and ABM campaigns to create measurable B2B pipeline. Requires 4–6 years of B2B technology marketing experience, strong commercial writing, and the ability to translate complex products into buyer-focused messaging.

Build full-stack AI agent fleets, APIs, workflows, and internal services that automate complex business processes. The role requires at least five years of engineering experience, hands-on LLM framework experience, production AWS expertise, Kubernetes, and strong API and database skills.

Leads the architecture, scaling, security, governance, and cost optimization of enterprise and AI data platforms. Requires 10+ years of data or software engineering experience, with expertise in production data foundations, CI/CD, governance, security, and performance optimization.

Leads the production AI platform and internal AI adoption strategy, overseeing pipelines, evaluations, monitoring, reliability, cost controls, governance, and enablement. Requires substantial hands-on experience operating ML/AI systems and strong judgment across technical and executive stakeholders.

Build scalable, fault-tolerant data infrastructure and pipelines that transform web-scale corpora into training datasets for large language models. The role requires substantial distributed-systems experience, Apache Spark expertise, and strong Python or Rust skills.

Sets the technical direction for production machine learning across a payments platform, building and scaling models for risk, authorization, disputes, and forecasting. Requires 8+ years of ML engineering experience, including production model ownership and strong technical leadership.

Design and implement scientific data models, integrations, parsers, visualizations, and AI/ML-driven solutions for biopharma customers. The role combines customer-facing consulting in the Frankfurt region with product collaboration and requires deep life sciences expertise, German proficiency, and advanced industry experience.

Own fraud detection, payments operations, investigations, and risk strategy while leading cross-functional programs and launch assessments. The role requires 4+ years in payments, fraud, or risk operations, strong SQL and card-network expertise, and the ability to communicate decisions across technical and business teams.

Research and develop computer vision and deep learning algorithms for autonomous drones, taking ownership of projects from prototyping through product integration. The internship requires strong C++ or Python and PyTorch skills, mathematical foundations, and software engineering ability.

Research and develop computer vision and deep learning algorithms for autonomous drones, taking ownership of projects that advance Skydio’s autonomy capabilities. Requires PhD-level study or background, strong C++/Python and PyTorch skills, and foundational expertise in software, mathematics, and relevant autonomy fields.

Own and evolve trusted data models for Marketing and Product use cases, from design and testing through monitoring and documentation. The role requires 3–5 years of data or analytics engineering experience, strong SQL and Python, dbt expertise, and Snowflake or comparable warehouse experience.

Supports development of autonomous-vehicle safety risk models through large-scale driving and simulation data analysis, dataset pipelines, and empirical experimentation. Requires current enrollment in a quantitative B.S. or M.S. program, strong Python skills, and onsite availability for a part-time project.

Build and operate production machine learning systems for ranking, retrieval, recommendations, personalization, and customer intelligence. The role requires 12+ years of production software and ML experience, strong expertise in intelligent systems, and sound judgment around trustworthy customer-impacting signals.

Leads enterprise demand-generation strategy, ABM, target-account programs, and cross-channel campaigns to drive qualified pipeline. Requires 7+ years of B2B demand-generation experience, strong sales partnership, and the ability to own strategy, budget, and execution.

Build and operate production data pipelines and transformation layers that turn heterogeneous business, identity, and fraud data into reliable inputs for entity resolution, scoring, and customer APIs. The role requires at least one year of data engineering experience with Python, SQL, cloud platforms, and modern pipeline tooling.

Build and productionize machine learning models while developing LLM-powered, agentic analytics tools for business stakeholders. The role requires 5+ years of data science experience, strong Python and SQL skills, production ML expertise, and hands-on experience with LLM and agentic systems.

Own the architecture, reliability, and evolution of a modern data platform spanning data engineering and analytics/BI. The role requires 8+ years of experience plus deep expertise in SQL, dbt, ClickHouse, BigQuery, Looker, streaming systems, and distributed data platforms.

Senior Data Scientist who will own growth forecasting, operating models, scenario analysis, and strategic planning for executive leadership. Requires 5+ years in business data science or analytics, advanced SQL, quantitative modeling, and experience with modern cloud data tools.

Senior data scientist leading marketing measurement, incrementality experiments, attribution, and growth modeling. The role partners with Growth leadership and requires 5+ years of relevant experience, advanced SQL, machine learning deployment, and modern cloud data-stack expertise.

Senior Data Scientist focused on product analytics, experimentation, predictive modeling, and advisor behavior insights for a dynamic travel marketplace. The role partners with Product, Engineering, and Design and requires 5+ years of relevant experience plus advanced SQL skills.

Senior engineer developing and productizing AI, machine learning, scientific computing, and data-analysis capabilities for a high-performance analytics engine. Requires 5+ years building quantitative data-intensive software and expertise in Python, machine learning, scalable architecture, and distributed computing.

Researcher or engineer focused on designing, evaluating, and productionizing oversight systems and safety mitigations for autonomous AI agents. The role requires strong systems or security reasoning, threat-modeling ability, and experience building practical evaluations and controls.

Researcher focused on training and evaluating frontier AI agents, mining incidents, and building scalable safety measurement systems. The role requires strong research or ML engineering execution, quantitative judgment, and the ability to own ambiguous projects end to end.

Build and own Stuut’s foundational data platform, including ingestion pipelines, canonical models, semantic layers, and observability. The role requires 3+ years of production data pipeline experience with Python, SQL, cloud warehouses, and ETL/ELT tooling.

Own end-to-end data analytics and infrastructure projects for SaaS customers, including migrations, reporting pipelines, dashboards, and business analysis. Requires 2–4+ years of analytics experience, expert SQL, dbt, BI tooling, and strong customer-facing skills.

Strategic marketing analytics manager-level individual contributor who connects customer, campaign, product usage, and revenue data to improve conversion and pipeline growth. Requires 7+ years of GTM analytics experience, advanced SQL, strong funnel and attribution expertise, and executive communication skills.

Develop and productionize generative AI applications for customers while advising stakeholders and influencing product direction. The role requires extensive industry data science experience, production ML deployment expertise, graduate-level quantitative training or equivalent experience, and native Japanese with professional English.