2,802 Results for

AI Jobs in Emeryville, CA

Jobs

New!

San Francisco, CA2 days ago

$225,000–$280,000 Per Year

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. The product sits at the intersection of AI, automation, and real world impact, using LLMs and agentic systems to replace hours or weeks of manual work with intelligent, scalable software.

New!

San Francisco, CA2 days ago

Remote

$170,000–$270,000 Per Year

The ideal candidate will be mid-level backend .Net Software Engineer with recent experience within a small, fast-paced, API-focused AI infrastructure startup company with lean, highly collaborative engineering teams, where they have operated with significant ownership, autonomy, and a strong “go-getter” mentality. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

New!

Foster City, CA2 days ago

$180,600–$289,300 Per Year

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Experience with AI product development, technology platforms, and engineering with proven ability to build new capabilities, drive organizational impact, and act as change agent are critical to success.

Foster City, CA14 days ago

$169,100–$270,800 Per Year

As an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

Foster City, CA13 days ago

$192,200–$307,700 Per Year

Experienced with high-performance imperative languages including Python, Java, Golang, React.js, Next.js • Built predictive models using Python and ML libraries and managed their lifecycle, from development to production. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

Oakland, CA30+ days ago

Full-time
Employee

In this role, you will work collaboratively across People & Engagement COEs, enterprise IT, Finance, Analytics & Reporting, Planning, and external partners to evaluate vendor solutions, design, build, and implement technology solutions, and enhance deployed applications. The People & Engagement Technology team is a critical member of the Corporate Platform in the IT Applications organization and is responsible for providing technical and functional leadership for multiple HR Technology products within the Corporate Platform.

San Francisco, CA13 days ago

$148,500–$260,100 Per Year

Lead by performing in-depth and high-quality security assessments of emerging technology (AI tooling, agentic platforms, etc.) including architecture and design reviews, code reviews, and penetration tests. In this role, you will partner with business stakeholders and technology partners to assess and maintain the security of AI tooling, ensuring they meet or exceed Salesforce security requirements when deploying AI at scale.

San Francisco, CA30+ days ago

Remote

$140,000–$185,000 Per Year

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. You will partner cross-functionally to identify opportunities and reimagine workflows, with a core focus on translating those insights into working systems-building automations, integrating tools, and shipping scalable AI solutions.

San Francisco, CA30+ days ago

$130,900–$277,200 Per Year

Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, project management, or business-related roles. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $303,600 per year.

San Francisco, CA30+ days ago

Design and execute AI red-teaming experiments against LLMs and AI agents to identify prompt injection direct & indirect jailbreaking and policy bypass model and tool poisoning context and memory poisoning behavioral drift and unsafe autonomy. In this role you will systematically probe AI systems to uncover unsafe unintended or harmful behaviors including prompt injection jailbreaks behavioral drift tool misuse and context or memory poisoning.

Menlo Park, CA27 days ago

$126,000–$181,700 Per Year

Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets - then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Experience building eval sets from production traces and synthetic data, and running structured experimentation (A/B tests, ablations, offline evals) to compare prompts, models, or agent architectures.

San Francisco, CA26 days ago

$172,500–$313,700 Per Year

You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. Implement evaluation frameworks for agent behavior using a combination of vendor , open source or in house built tools - covering task success, tool selection accuracy, trajectory evaluation, hallucination rates, latency, and cost.

San Francisco, CA30+ days ago

$160,000–$240,000 Per Year

Preferred Experience 1-5 years of experience shipping and owning production systems in high-growth or early-stage environments Strong experience integrating with third-party APIs, authentication systems, and event-driven workflows Experience debugging distributed systems in production under real customer constraints Comfortable working in ambiguous environments where documentation is incomplete, and requirements evolve during execution Experience working directly with customers or external stakeholders is a strong plus. This role is for you if: You enjoy debugging messy real-world systems more than building pristine internal abstractions You're comfortable sitting with customers and figuring things out in ambiguous environments You prefer shipping impact quickly over polishing perfect architectures.

Menlo Park, CA30+ days ago

$236,000–$339,200 Per Year

At the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents-shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.

San Francisco, CA30+ days ago

$166,600–$218,700 Per Year

Shape and maintain structured context artifacts-clean, reliable, agent-consumable-so LLMs working in Mercury's systems can reason accurately about our domain. Has hands-on experience building LLM-powered systems-RAG pipelines, agents, eval frameworks-and has shipped at least one of these to production.

San Francisco, CA30+ days ago

Reporting to the Head of Design for Rovo, you'll lead a small group of Product Designers and Content Designers to collaborate with Product and Marketing on Rovo.com, the visual language of Rovo, and the in-product front door experience for Rovo across Desktop, Web and Mobile. Youll work with fellow Designers, Engineers, Product Managers, Content Designers, Researchers, Marketers, and Analysts to develop an elegant user experience in our products and ship high-quality work.

San Francisco, CA30+ days ago

You will lead a high performing team of software and ML engineers building the systems and services needed to deliver best-in-class voice-first AI-native gaming experiences to our players on connected TVs and other gaming surfaces. We're actively expanding our game titles and platforms and this is an opportunity to play a pivotal role in creating innovative, fun applications in voice-activated gaming across connected devices.

Walnut Creek, CA30+ days ago

In this role, you'll own AI agents end-to-end: from scoping a workflow with product, to designing prompts and tools, to building the eval harnesses that prove the agent works, to shipping the surfaces where the agent shows up in our product. You'll work directly with our Head of AI, product leaders, and senior engineers to ship agents that move the needle for general contractors, specialty contractors, and owners managing billions of dollars in change orders every month.

San Francisco, CA30+ days ago

To date, we've raised $20m in venture funding from some of the most respected founders, operators, and funds in technology: Lachy Groom (Physical Intelligence), Stewart Butterfield (Slack), Tobias Lütke (Shopify), Dylan Field (Figma), Jeff Weiner (LinkedIn), Claire Johnson (Stripe), Oliver Jay (OpenAI), Jay Simmons (Bond) as well as Y Combinator, Moonfire, Frontline Ventures, Pathlight Ventures, and Exor. A hunter mentality: you enjoy opening doors, staying persistent, and earning attention High tolerance for rejection - "no" doesn't slow you down, it sharpens your thinking Comfort operating in ambiguity: changing priorities, evolving messaging, partial context Bias toward action: you iterate rather than wait You naturally use AI and data to work smarter and increase leverage.

Palo Alto, CA30+ days ago

$148,500–$223,900 Per Year

With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.

Menlo Park, CA30+ days ago

$174,241–$200,641 Per Year

Qualifications: • 5+ years of experience in software engineering, data science, or ML engineering • Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, etc.) • Strong Python proficiency and comfort with SQL and relational databases • Experience deploying and maintaining production systems • Familiarity with AWS • Excellent communication skills and ability to translate business problems into technical solutions • Self-directed and comfortable with ambiguity in a 0-to-1 environment. Nice-To-Haves: • Previous entrepreneurial experience • Experience with retrieval architectures, vector databases, and embedding models • Familiarity with agent frameworks or workflow orchestration tools • Experience with traditional ML frameworks (scikit-learn, PyTorch, TensorFlow) • Prior work in healthcare, biotech, or other regulated industries.

San Francisco, CA22 days ago

Inside sales creates volume pipeline, works smaller opportunities, and helps surface warm signals, while Senior Account Executives focus on the highest-priority accounts and the most visible commercial moments. Winning here requires more than traditional territory coverage: it requires local ecosystem knowledge, crisp value articulation, and the ability to engage the people shaping these companies early, including founders, CTOs, operators, and the VCs around them.

San Francisco, CA30+ days ago

With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.

San Francisco, CA30+ days ago

We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow.

Mountain View, CA30+ days ago

$148,700–$223,100 Per Year

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

Menlo Park, CA30+ days ago

$200,000–$287,500 Per Year

We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. You will join a fast-paced, collaborative team of engineers on a journey to provide customers with an integrated set of innovative, AI-enabled capabilities to analyze data in a privacy-preserving way.

San Francisco, CA30+ days ago

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems.

Menlo Park, CA30+ days ago

$200,000–$287,500 Per Year

Collaborate cross-functionally with frontend, design, product, and support teams to deliver products that are intuitive for both human users and AI-native workflows (agentic users like Claude Code and Cursor are first-class citizens on our platform). Our products help engineering teams at companies like Capital One, Topgolf, and Dialpad move from detection to root cause 10x faster across hundreds of terabytes of telemetry data daily.

San Francisco, CA30+ days ago

Were a team of less than 25 building Dispatch, a vertically-integrated AI-powered product that performs many of the repetitive, time-intensive manual operations so that our users can focus on growing their business. Youll be at the forefront of building text- and voice-based AI agents that can drive external communication, perform reasoning, execute actions, and continuously self-improve.

San Francisco, CA30+ days ago

Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).

CA23 days ago

Remote

San Francisco, CA30 days ago

$130,000–$150,000 Per Year

As an AI Forward Deployed Engineer, you will embed directly inside our most strategic accounts, uncover the operational problems that are hardest to see from the outside, and build working solutions using Zips agent infrastructure and AppStudio. You will work where Zips platform meets real enterprise complexity, across procurement, finance, legal, and risk workflows, and you will be expected to see what needs to exist before the customer can articulate it.

San Francisco, CA30+ days ago

$197,300–$365,200 Per Year

Rather than owning a single product roadmap, this leader operates as a portfolio-level orchestrator - ensuring that products built across operating units work together as a coherent system. Overview of the Role: This is a strategic product leadership role designed to serve as the connective tissue across a portfolio of AI-powered products and platform capabilities.

San Francisco, CA21 days ago

$167,000–$185,500 Per Year

At Uber AI Solutions delivers high-quality deliveries, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. This opportunity is designed for a hands-on technical architect who thrives in a pre-sales environment, is eager to translate complex customer needs into clear, executable technical blueprints, and acts as a critical voice in defining our product's future.

San Francisco, CA14 days ago

Remote

Were looking for an engineer who pairs a strong distributed-systems background with real, hands-on experience building AI agent systems-someone who understands both how to make a service fault-tolerant and what it takes to make an LLM-powered agent reliable in production. Youre curious and motivated to learn new tools-youve experimented with AI in your work or on your own, youre excited about whats possible, and youve built something with it (an application, a workflow, a creative solution to a real problem) that you can walk us through.

San Francisco, California14 days ago

Note that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model). Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.

San Mateo, California30+ days ago

At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases (vector DBs), AI agents, and Model Context Protocol (MCP).

San Francisco, California13 days ago

Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models. You should be comfortable operating with independence, learning unfamiliar technical domains quickly, working across disparate teams, and moving prototypes toward production with limited oversight.

San Francisco, California30+ days ago

Own the outcome on each account: make sure every location is getting the highest value from the AI products it runs today, quantify it in hard numbers (ROI, EBITDA impact, revenue, conversion, labor savings), and turn frontline results into reporting for customer leadership. You lead those teams and own the outcome: ensuring every account gets the most from what it has today and has a clear path to realizing additional value over time across products and locations.

San Francisco, California30+ days ago

User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative/engineering field, or equivalent practical experience.

San Francisco, California30+ days ago

You might spend a week designing a multi-agent workflow to automate competitive intelligence tracking, then shift to an internal tool that gives the hardware team instant retrieval across five documentation systems. Matter Intelligence is building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model—the most powerful intelligence engine for the physical world.

San Francisco, California30+ days ago

In this role, you'll collaborate closely with forward-deployed engineers and end users, developing innovative tools for both internal teams and external customers. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.

Palo Alto, California30+ days ago

We are looking for a Lead AI Engineer to design and build an agentic system that can reason over complex data, orchestrate modeling workflows, and autonomously generate insights and decisions related to energy asset operations. You will design and deploy Powerline’s AI Agents to: answer complex questions, explain algorithm results, and act as a decision-support tool; run continuous tasks and be proactive, without human intervention; and.

New!

San Francisco, California6 days ago

You will build the product capabilities that allow AI systems to discover the right data, understand its meaning, request access, execute safe actions, and return reliable answers with context, lineage, and policy enforcement. The Principal AI Platform Engineer at Nextdata designs and builds the interfaces, systems, and agents that make governed enterprise data usable by both humans and AI agents.

Redwood City, California30+ days ago

You will design scalable solutions that replace manual processes with human-like reasoning agents, directly impacting how traditional businesses operate in an AI-first world. Build autonomous agents capable of executing complex, multi-step industry workflows with minimal intervention.

San Francisco, California30+ days ago

We work with plumbing, HVAC, and electrical contractors — the people who keep homes running — and we replace fragmented tools and manual workflows with AI agents that actually do the work. We’re hiring someone deeply analytical, systems-driven, and AI-native — someone who can design and build a machine that drives retention and expansion at scale, not manage it manually.

San Francisco, California30+ days ago

You will sit on the Strategy & Ops team and own a portfolio of internal builds: dashboards that surface the right metrics to the right people, internal tools that eliminate manual work, and AI agents that act as force multipliers across sales, CS, and operations (an assistant sales agent that drafts follow-ups and surfaces account intel, an assistant CSM agent that flags churn risk and preps QBRs, and more). We work with plumbing, HVAC, and electrical contractors — the people who keep homes running — and we replace fragmented tools and manual workflows with AI agents that actually do the work.

Mountain View, CA15 days ago

$142,800–$274,800 Per Year

Deep technical expertise in GPU, accelerator, SoC, AI infrastructure, HPC, or low-level platform software stacks, including areas such as device drivers, firmware, hardware/software interfaces, compilers, runtime systems, AI/ML frameworks, distributed systems, or high-performance computing. 10+ years of experience in Technical Program Management, systems software, infrastructure/platform engineering, or related technical leadership roles, with a proven track record of leading large-scale, cross-functional engineering programs.

Mountain View, CA27 days ago

$155,800–$277,200 Per Year

This leader will define the technical model enterprises use to assess agentic platforms-capturing combined value across developer tools, AI, data, infrastructure, security, and operations-and translate it into durable leadership in the market, with proof points, competitive positioning, technical demos and go-to-market motions that scale across Microsoft. This role operates at the executive layer across Engineering, Product, and Go-to-Market-partnering with leaders in Commercial Cloud & AI, Security, Data & AI, Industry, and the field-to align priorities and ensure Azure's agentic platform value is consistently communicated to customers, partners, analysts, and Microsoft executives.

San Francisco, CA30+ days ago

Drive AI Product Development in Risk: You'll help shape the architecture and implementation of AI-powered risk systems-from application approvals to ongoing and enhanced due diligence-turning messy, ambiguous signals into clear outcomes. Drive Quality & Scalability: Design extensible platform systems that create leverage, make balanced decisions on tech debt, plan careful rollouts, and own the quality of your work through post-launch monitoring.

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AI Jobs in Emeryville, CA

Senior AI Engineer Jobot

Sr. AI Software Engineer (C#/.Net, infrastructure & startup exp. req'd) - 100% REMOTE Jobot

Senior Manager, AI Observatory Product Manager Visa Technology and Operations LLC

Staff Machine Learning Engineer, Responsible AI Engineering Visa Technology and Operations LLC

Senior Staff Engineer, AI Governance Visa Technology and Operations LLC

Sr. Manager, People Technology and AI Enablement Blue Shield of CA

Product Security Engineer, Senior & Lead (Enterprise Security - Security AI) Salesforce Inc

AI Systems & Automation Manager, Marketing Circle Internet Financial LLC

Chief of Staff - Responsible AI (CoreAI) Microsoft Corp

Senior Data Scientist - AI Red Teaming & Model Risk Uber Technologies Inc

Forward Deployed Engineer, Applied AI Snowflake Inc

Principal AI Engineer Salesforce Inc

Forward Deployed Software Engineer AI Agents Pallet Systems Inc

Staff Research Scientist, AI Agents & LLMs Snowflake Inc

Senior Software Engineer - AI Enablement Mercury Technologies Inc

Senior Design Manager, AI Atlassian Corp

Engineering Manager, AI Game Engine Weekengo GmbH

AI Software Engineer (Fullstack) Clearstory Technologies Inc

Founding US Account Executive - Agentic AI Humaans Software UK LTD

Senior Member of Technical Staff, AI Reasearch Salesforce Inc

Senior AI Engineer I BillionToOne Inc

Senior Account Executive , AI & Digital Natives (Bay Area) Atlassian Corp

AI Solutions Consultant ZipHQ Inc

Senior AI Engineer Imprint Payments Inc

Senior Machine Learning Engineer, AI Automation Unity Software Inc

Senior Software Engineer - Data Clean Room/ AI Data Hub Snowflake Inc

Senior AI Platform Engineer SS&C Technologies Holdings Inc

Senior Software Engineer - Observe by Snowflake, APM & AI Observability Snowflake Inc

Senior AI Product Engineer TruckSmarter Inc

Staff AI Machine Learning Engineer medeloop Inc (US)

Senior Account Executive, AI & Digital Natives Atlassian Corp

AI Forward Deployed Engineer ZipHQ Inc

Sr. Director of Product - AI Salesforce Inc

Solutions Architect, Uber AI Solutions Uber Technologies Inc

Software Engineer, Agentic AI Infrastructure Anrok, Inc.

Senior AI Engineer - Agent Team FurtherAI

Software Engineer III - AI Services Guidewire

Software Engineer, Applied AI CHAOS Industries

AI Strategy Manager Broccoli AI

Founding AI Engineer Uplane

Applied AI Engineer - Internal Matter Intelligence

Applied AI Engineer Automat

Lead AI Engineer Powerline

Principal AI Platform Engineer Nextdata

Full Stack Software Engineer at VC-backed AI automation startup Jack & Jill

Head of AI Success Broccoli AI

AI Operations Lead Broccoli AI

Principal Technical Program Management- AI Accelerator Software Planning Microsoft Corp

Senior Director Product Marketing, Azure Cloud and AI Platform Microsoft Corp

Senior Software Engineer - Risk AI & Automation Mercury Technologies Inc

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