Machine Learning Jobs in Berkeley, CA

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.

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

Lead AI-focused internal audits and investigations to detect misuse, fraud, compliance violations, and insider threats in AI systems. Develop methodologies, analytics, continuous monitoring, and control assessments; supervise auditors; partner with Legal, Security, Privacy, and business stakeholders; and deliver risk-based findings and remediation recommendations.

Lead and manage complex financial, operational, and integrated audits; assess internal control design and effectiveness; use advanced data analytics and AI-enabled tools to identify risks, develop recommendations, report to leadership, and drive remediation and continuous improvement.

Lead product strategy and roadmaps for web and native mobile healthcare products. Write epics and user stories, partner with cross-functional teams, use qualitative and quantitative data to drive improvements, define KPIs, evaluate AI use cases, and deliver measurable outcomes in an agile environment.

Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

Lead AI product strategy and execution for MISUMI Americas' manufacturing quoting and fulfillment platform. Define AI vision, own model lifecycle and infrastructure, build AI-driven features (automated quoting, supplier recommendation, manufacturability assessment), set metrics and experimentation, and align cross-functional partners to operationalize models at scale while championing responsible AI and mentoring other product managers.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

Lead and grow a product-oriented software engineering team to design, own, and deliver Fervo's internal application architecture and production apps. Work embedded with operations to build workflows, dashboards, integrations, and AI-enabled features; define standards (CI/CD, observability, security); and manage vendor and data-platform integrations to scale software supporting geothermal operations.

The role involves permitting review, plan examination, and interpreting building codes while also supporting product development and project management efforts.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Provide embedded legal counsel to product and engineering on privacy, IP, and consumer protection; lead Arena's global privacy program (GDPR, CCPA/CPRA, cross-border transfers); advise on AI governance and responsible deployment; support commercial contracts and data flow frameworks; build privacy processes, playbooks, internal agents, and legal-tech integrations to scale operations.

Lead the launch and growth of a new BS in Engineering Design at Northeastern Oakland. Build AI-integrated, human-centered curriculum; develop industry partnerships and revenue streams; oversee co-op placements, program operations, budgeting, marketing, and staff. Ensure ABET-aligned standards, experiential learning, interdisciplinary collaboration, and inclusive pipeline development.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.