Find your next AI-scored role.

Senior Data Scientist at Pinterest's tvScientific, a CTV advertising platform. Role involves writing production Python code, designing experiments, building analytics tools, and translating insights into product improvements for performance marketers.

Senior Data Scientist at Pinterest building quantitative models and experimentation infrastructure for core products. Focus on statistical rigor, machine learning, and cross-functional collaboration to serve hundreds of millions of users.

Senior Data Scientist at Pinterest building GenAI-enabled analytics solutions for enterprise systems. Focus on LLM pipelines, data modeling, and analytics engineering across Salesforce, Gong, and other SaaS platforms.

Software Engineer at Pinterest building simulation and AI systems for tvScientific's CTV advertising platform. Design auction-modeling environments, develop counterfactual frameworks, and build AI agents to optimize bidding strategies and campaign outcomes.

Principal Product Manager, AI Compliance at Pinterest. Drives product strategy for AI governance and compliance across Pinner- and advertiser-facing AI products, ensuring alignment with regulatory requirements and company values. Partners with Legal, Privacy, and Engineering to build compliance tooling and data controls.

Principal Machine Learning Engineer at Pinterest building backend systems and statistical models for the ads delivery marketplace. Responsible for designing experiments, auction mechanisms, and ad allocation strategies to maximize value for users, advertisers, and the platform.

Principal Engineer at Pinterest leading the consolidation and modernization of the compute platform (PinCompute) on Kubernetes. Focus on scaling stateful and GPU-heavy AI workloads across distributed systems.

Manager II, Machine Learning-Search at Pinterest leading the search backend team. Responsible for indexing, ranking, query understanding, personalization, and ML-based retrieval systems serving 450M+ monthly active users. Will mentor engineers and drive innovation in NLP, vision models, and agentic search.

Manager II, Machine Learning Engineering at Pinterest leading a team building large-scale recommendation and search systems for 500M+ monthly users. Responsible for ML infrastructure, team strategy, and cross-functional collaboration on ranking, retrieval, and personalization.

Manager II, Machine Learning-Content Success at Pinterest leading a team of backend and ML engineers on recommendation systems and content distribution. Focus on developing signals, integrations, and systems for discovery, ads, and growth products.

Machine Learning Engineer at Pinterest building personalized recommendation systems and ads ranking models. Focus on deep learning, large-scale ML systems, and leveraging LLMs for content understanding within the Monetization Engineering team.

Machine Learning Engineer at Pinterest building personalized recommendation systems and deep learning models for product surfaces like Homefeed, Ads, and Search. Requires 2+ years of ML industry experience with hands-on work on large-scale systems and data pipelines.

Engineering Manager II, Machine Learning at Pinterest leading the User Understanding team. Manages ML engineers building data and backend systems for user modeling, personalization, and recommendations at scale.

Engineering Manager at Pinterest leading the agent platform team. Responsible for designing and scaling agent serving, evaluation, and monitoring infrastructure while hiring and mentoring engineers across all levels.

Engineering Manager I leading a Growth AI Products team at Pinterest. Responsible for shipping AI-led growth products, managing engineers, and partnering with product, design, analytics and ML teams to drive top-of-funnel growth through AI-powered content representation and user experiences.

Director of Product Management for personalized experiences at Pinterest, leading AI/ML-powered discovery and curation features. Partner with engineering, data science, and design to ship products on Home, Search, and Related Pins surfaces.

Director of Data Science leading Trust & Safety, Signals, and Content Understanding at Pinterest. Responsible for building proactive, metrics-driven systems for integrity, user understanding, and content quality at scale across the platform.

Director of Machine Learning Engineering leading the Growth ML function at Pinterest. Oversees multiple ML teams building recommendation, ranking, and personalization systems for user acquisition, activation, and retention across the platform.

AI Solutions Engineer at Pinterest building AI-powered automation tools for internal business functions. Mid-level role combining software engineering with business process design, using agentic frameworks and responsible AI practices.

Principal Data Scientist at Gusto building measurement frameworks and predictive models for the payments platform. Focus on payments infrastructure, experimentation, and AI-native data products serving 400,000+ small businesses.

Senior Infrastructure TPM at Together AI building and scaling global GPU resources for an AI infrastructure company. Owns product roadmap for observability, storage, network, and security infrastructure teams serving researchers and enterprise customers.

Research Scientist at Anthropic's Frontier Red Team building tools and frameworks to defend against AI-enabled cyber threats. Focus on autonomous vulnerability discovery, AI agent evaluation in security environments, and policy-informing demonstrations.

Financial Systems Lead at Ramp building internal accounting and treasury infrastructure. Role combines product engineering with deep financial domain expertise, shipping AI-assisted prototypes that solve real close, reconciliation, and FP&A problems for the company's own books.

Software engineer at Nuro building ML infrastructure for autonomous vehicle development. Focus on resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model training and deployment.

Senior Software Engineer at Nuro building ML platform infrastructure for autonomous vehicle development. Focus on resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model training and deployment.