Build and operate scalable AI/ML systems and pipelines that strengthen Airbnb’s fraud prevention and trust defenses. The role requires 7+ years of backend or platform engineering experience, strong programming and data engineering skills, and production machine learning expertise.

Build and own large-scale data models, batch and real-time pipelines, and data infrastructure that provide reliable datasets and insights across Plaid. The role requires 4+ years of data engineering experience, strong SQL and Python skills, and expertise with modern warehouses, lakes, and orchestration tools.

Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.

Senior Data Analyst supporting strategic finance through financial analysis, forecasting insights, automation, and self-service reporting. Requires strong SQL and visualization skills, 4+ years of analytical experience, cross-functional communication, and a bachelor’s degree.

The first dedicated marketing analytics hire will build the data foundation, measurement frameworks, dashboards, and experimentation capabilities connecting acquisition, product usage, and revenue. Requires 5+ years in marketing, growth, product analytics, data science, or another quantitative discipline, plus deep SQL and modern data-stack experience.

Build and scale data ingestion platforms, pipelines, APIs, and processing products that move billions of rows across a multi-tenant system. The role requires 8+ years of software development experience and strong expertise in large-scale application architecture.

Data Scientist II developing graph-based algorithms, entity-resolution models, and large-scale data pipelines for identity and deceased-monitoring products. Requires advanced academic training or equivalent experience, strong Python/Scala and SQL skills, and hands-on Spark and AWS experience.

Leads a hands-on AI engineering team developing, evaluating, and deploying large-scale multimodal and video models. The role combines post-training, inference optimization, product experimentation, technical roadmap ownership, and people management.

Architects and builds ZoomInfo’s distributed data-platform infrastructure, including federated GraphQL access, real-time pipelines, indexing, and observability. The role requires 10+ years of software engineering experience, cloud-native expertise, and strong distributed-systems design skills.

Senior Data Analyst supporting the Public Sector business by building scalable analytics solutions, defining metrics, improving data quality, and informing operational and financial decisions. Requires 6+ years of experience, advanced SQL, BI dashboard skills, and an active Secret clearance.

Leads the engineering discipline for evaluating, testing, and monitoring production AI agents, while building scalable eval infrastructure and developer tooling. Requires 8+ years of production software experience, strong backend skills, and expertise with LLM evaluation and agentic systems.

Sets company-wide architecture and strategy for data and applied AI, connecting governed data foundations to production intelligence and measurable business outcomes. The role requires 14+ years of experience, strong production engineering judgment, executive partnership, and hands-on delivery.

Design and maintain billing systems that transform patient engagement data into accurate, auditable invoice outputs using SQL, Python, and transformation workflows. Requires 3+ years in data operations/analytics within finance or healthcare systems, plus strong SQL and scripting skills.

Build and deploy production voice AI agents for customers, creating demos, debugging edge cases, improving performance, and translating feedback into product improvements. The role combines hands-on engineering, customer engagement, and pre- and post-sales delivery.

Leads client-facing healthcare research engagements using real-world data, advanced statistical methods, and AI-enabled workflows. Requires an advanced quantitative degree, at least five years of healthcare research or analytics experience, strong client advisory skills, and expertise in RWE/HEOR studies.

AI Engineering Intern building generative AI agents and RAG pipelines to automate internal engineering workflows and improve productivity. Requires Python, AI/ML and LLM project experience, Git familiarity, and current enrollment in a technical degree program.

Leads the strategy, architecture, and scaling of Pinterest’s big data and AI infrastructure across petabyte-scale workloads. Requires principal-level technical leadership, extensive Kubernetes or big data platform experience, and proficiency in modern data and cloud technologies.

Senior individual contributor responsible for architecting shared dbt models, marketing attribution, data quality, and AI-driven analytics workflows. Requires 6+ years in analytics engineering or data, deep dbt and SQL expertise, modern data-stack experience, and strong marketing measurement knowledge.

The applied scientist will lead GenSim’s methodology for creating realistic, production-grade simulated environments and high-quality post-training data for Datadog agents. The role requires deep LLM and agent experience, evaluation expertise, Python, distributed systems, and the ability to set technical direction.

Owns the company’s payor intelligence function by mapping complex payer entities and delegated relationships, governing policy data, and translating coverage realities into product requirements. Requires 5+ years across U.S. Medicare, Medicaid, commercial payors, and related healthcare arrangements.

Staff engineer responsible for designing and scaling the infrastructure, execution environments, verifiers, and tooling used to train and evaluate AI agents. Requires 8+ years of software engineering experience, strong Python and distributed-systems expertise, and familiarity with sandboxing, high-throughput systems, and LLM workflows.

Design and productionize ML, deep learning, and LLM models for personalization, recommendations, and search systems. Requires 7+ years building production ML/AI with business impact and strong cross-functional collaboration skills.

Develop and deploy machine learning models for real-time fraud detection and financial crime risk, while improving data quality, monitoring, and production reliability. Requires 5+ years working with large datasets, 3+ years of ML experience, and strong Python and SQL skills.

Build and operate infrastructure-first production ML systems, including pipelines, model serving, CI/CD, monitoring, and automated retraining. The role requires 5+ years of production ML experience, strong Python and platform engineering skills, and hands-on expertise with cloud, Kubernetes, and MLOps tooling.

Leads the architecture, development, and governance of agentic AI platforms and reusable patterns across SaaS products. The role requires principal-level experience with Python, Java, Azure and Anthropic AI technologies, RAG pipelines, model serving, evaluation frameworks, and production governance.

Staff-level engineer responsible for the technical direction, reliability, and evolution of a cloud ELT platform supporting healthcare data products. The role requires 7+ years of software or data engineering experience, deep SQL/Python and modern data-platform expertise, and strong architectural and mentoring leadership.

Staff Data Scientist focused on building and operating machine learning systems for real-time fraud detection and financial crime risk. The role requires 7+ years working with large datasets, strong Python and SQL skills, production ML experience, and technical leadership.

Staff AI Engineer responsible for architecting and delivering governed AI agents, enterprise applications, and integrations across Finance and business systems. The role requires 8+ years of production engineering experience, strong Python or TypeScript skills, enterprise architecture judgment, and familiarity with AI platforms, agent frameworks, and compliance controls.

Build scalable analytics engineering infrastructure, SaaS data models, and AI-enabled workflows that support enterprise decision-making. The role requires 3–6 years of hands-on analytics or data engineering experience, strong SQL and modern data modeling expertise, and cloud data warehouse experience.

ML research internship focused on improving search and retrieval through deep learning, representation learning, and RAG systems. The role requires strong PyTorch and distributed-training skills, plus familiarity with search evaluation and AI/ML research publications.

Analyzes and improves search and answer quality by designing metrics, building evaluation and labeling pipelines, and validating changes through experiments. Requires 4+ years of analyst experience, production-grade coding skills, and proficiency in SQL and Python.

Senior machine learning engineer owning cybersecurity detection capabilities end to end, from data pipelines and experimentation through production deployment and monitoring. Requires 3+ years of applied ML experience, strong Python and deep-learning skills, and demonstrated model delivery in customer-facing systems.

The Machine Learning Engineer will train and fine-tune models, build evaluation suites, analyze model failures, and improve dataset and training quality. The role requires at least two years of ML engineering or applied data science experience, strong Python skills, and practical model evaluation expertise.

Own the data foundation for machine-learning systems by building dataset pipelines, labeling workflows, quality controls, and lineage processes. The role requires at least three years of data engineering experience, strong Python and SQL skills, and familiarity with ML data quality concerns and orchestration tools.

Build simulation, performance-modeling, trade-study, and optimization tools that expand an AI-powered automated design engine for large-scale infrastructure projects. The role requires strong systems thinking, physics or engineering modeling experience, and hands-on software development; candidates at all experience levels are considered.

Own and evolve Hugging Face’s open-source voice-agent stack and bring hf-voice from demo to production. The role requires senior experience with Python, distributed real-time systems, developer infrastructure, and production AI or multimodal models.

Leads content-driven digital demand generation programs that create and accelerate B2B SaaS pipeline across PLG and SLG motions. Requires 7+ years of digital, content, or demand generation experience and strong sales partnership, campaign, automation, and attribution expertise.

Develops and optimizes machine learning and statistical models for fraud prevention, analyzing large-scale data and communicating insights across technical and business teams. The role requires at least three years of data science or machine learning experience, with fraud or anti-money-laundering expertise preferred.

Build the AI platform behind fab2, including model infrastructure, agent systems, evaluations, and tools for engineering and fab operations. The role requires strong production software engineering skills and comfort working across frontend, backend, infrastructure, and data.

Develop and deploy real-time perception and sensor-fusion software for autonomous battery-electric rail vehicles. The role requires strong robotics, geometry-based computer vision, C/C++ and Rust experience, plus hands-on work with multimodal sensors and production systems.

Leads rigorous advertising measurement for OpenAI Ads, partnering with advertisers, agencies, Sales, and technical teams on attribution, incrementality, MMM, optimization, and scalable privacy-forward measurement programs. Requires 10+ years of advertising measurement experience and hands-on SQL, Python, or R expertise.

The Senior Data Analyst will analyze finance, accounting, and revenue data, build scalable SQL transformations and dashboards, and produce forecasts and recommendations for stakeholders. The role requires at least five years of financial analytics experience, advanced SQL and Excel skills, and Tableau expertise.

Researcher developing and publishing mechanistic interpretability techniques, building infrastructure to study model internals, and guiding alignment-focused research. Requires research experience in machine learning or a related field, strong engineering skills, and proficiency in Python or similar languages.

Senior Analyst owning end-to-end COGS, gross margin, and unit economics analysis for hardware/software products. Structure ambiguous executive questions, build models and datasets, deliver recommendations to CPO/CTO, and influence product/finance decisions in a fast-paced remote environment. Requires 7+ years experience, expert SQL, and strong autonomy.

Build replayable enterprise environments, evaluation systems, graders, and post-training workflows for AI agents. The role spans machine-learning research and production engineering and requires 1–7 years of software or ML systems experience.

Own retention and SaaS analytics for SpotOn’s merchant business, uncovering churn and adoption drivers and building trusted reporting for executive and cross-functional decisions. The role requires 5+ years of analytical experience, advanced SQL, cloud data warehouse expertise, and strong business communication.

Analytics intern supporting Strategic Analytics, Risk, or Business Planning & Analysis by researching business questions, analyzing data, and presenting actionable recommendations. Applicants should be quantitative students graduating between December 2027 and June 2028 with SQL, statistical methods, programming, and BI experience.

Leads the data science function responsible for sports and esports market origination, projection accuracy, and coverage strategy. Requires 5+ years in sports betting, fantasy, or gaming, strong modeling skills in SQL and Python or R, and experience scaling high-performing teams.

Conduct research and engineering on large-scale post-training of diffusion and language models, focusing on aesthetics, preference optimization, reinforcement learning, reward modeling, and evaluation. The role requires strong PyTorch, distributed training, low-precision inference, and VLM experience.

Researcher developing and scaling image and video diffusion models on large GPU clusters. The role requires deep PyTorch and distributed-training expertise, proficiency in low-precision computation, and experience profiling and debugging large-scale model training.