Machine Learning Jobs in Oakland, CA

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

Lead FP&A strategy and transformation: provide senior leadership with insight-driven financial storytelling, scenario and long-range planning, advanced modeling, automation and AI-enabled analytics, cross-functional financial leadership, and build a high-performing FP&A team while ensuring governance and continuous improvement.

The role involves leading a research project on large language models, mentoring junior researchers, and publishing scientific papers, with a focus on advanced natural language processing methods.

Lead and grow a team of Technical Program Managers who run customer data projects end-to-end: staffing cadence, project setup, throughput and margin tracking, AR/billing hygiene, Airtable as system of record, onboarding TPMs, operational playbooks, and escalation for delivery risk. Serve as a player-coach partnering with Deployment Leads, FDE Manager, and GMs to ensure projects are staffed and delivered reliably.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Support development of pricing arrangements, financial models, budgets and AFAs for a law firm. Produce pricing analyses, competitive market research, and performance metrics. Collaborate with attorneys, IT, and data teams to implement pricing tools (Elite 3E, Iridium), leverage AI/analytics for forecasting, and train stakeholders on pricing technology.

Lead AI-centered product design strategy for Everlaw's litigation platform, define human-AI design frameworks, influence cross-functional product and engineering decisions, mentor designers, and elevate org-wide design systems and standards.

Lead AI product strategy and execution for an intelligent manufacturing platform: define AI vision, own model lifecycle and infrastructure, embed AI into quoting and fulfillment applications, run experiments and metrics, and align cross-functional teams to commercialize AI capabilities.

The Head of Clinical Development & Strategy will lead clinical strategy, develop product profiles for early-stage assets, and shape collaborations with pharma partners, focusing on medical necessity and strategic direction.

Lead a major product area end-to-end: set strategy and KPIs, define customer personas and market thesis, prioritize features, drive execution with engineering, and align cross-functional stakeholders to deliver high-impact AI-enabled hiring and people-analytics solutions.

Work post-sale with enterprise customers to implement and scale Labelbox data pipelines, advise on ML/LLM architecture and integrations (API, SSO, SaaS), manage onboarding and implementations, mentor users, drive product feedback and customer references, and partner with sales and product teams to realize ML goals.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

The Machine Learning Scientist will develop reinforcement learning algorithms for protein design, collaborate with teams, and shape machine learning strategies.

The Senior Manager, Product Lead will oversee a team of product managers, driving product strategy, talent development, and excellence in AI-powered legal products.

Lead pre-sales efforts for Media & Entertainment customers: present Snowflake to executives and technical audiences, deliver demos and POCs, design solutions, collaborate with product and engineering, and close large deals while maintaining deep industry and competitive knowledge.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Lead end-to-end performance creative production for paid social, CTV, and emerging channels. Concept, script, produce, and edit ads while translating performance data into creative direction. Manage agency and production partners, stay on top of platform trends, and leverage AI tools to accelerate workflows and improve creative output, balancing brand quality with measurable performance.

Own Jerry.ai's organic presence on Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, create scalable authentic content and engagement strategies (using AI where helpful), collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Lead end-to-end partnerships for new product lines (home, motorcycle, adjacent products). Build pipeline, structure and close complex multi-stakeholder deals, onboard and drive partner success, and inform vertical strategy. Work cross-functionally with product, engineering, data science, legal, finance, and executives to scale distribution and supply for Jerry's marketplace.

Lead Jerry.ai's organic community presence across Reddit, Quora, YouTube, and TikTok. Develop playbooks for engagement, grow and moderate subreddits, craft scalable authentic content strategies using AI, coordinate with Growth and Content teams, and measure sentiment, share of voice, referral traffic, and LLM citation.

Lead Jerry's organic community strategy across Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, scale authentic content using AI, coordinate with Growth and Content teams, and measure sentiment, share of voice, referral traffic, and LLM citations.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.