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Ai Lab Jobs in California (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA · On-site

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their ...

Amazon

Finance Manager, Amazon AI Lab

San Francisco, CA · On-site

Amazon is hiring a highly effective Finance Manager to partner with the Artificial General Intelligence (AGI) lab in San Francisco on building practical AI that can actually do things for us and make ...

Amazon

Finance Manager, Amazon AI Lab

San Francisco, CA · On-site

Amazon is hiring a highly effective Finance Manager to partner with the Artificial General Intelligence (AGI) lab in San Francisco on building practical AI that can actually do things for us and make ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

About Cogent Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100 - $300/hr

About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

Cogent Security

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

About Cogent Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

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Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in California look for?

The top searched job categories for Ai Lab jobs in California are:

What cities in California are hiring for Ai Lab jobs?

Cities in California with the most Ai Lab job openings:

Ai Lab jobs near you
Infographic showing various Ai Lab job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Lab - Program manager

HP Development Company, L.P.

Palo Alto, CA • On-site

$158K - $234K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago

Job description

AI Lab - Program manager
Description -
Job Summary
This role is responsible for managing and leading the full portfolio of programs within the HP AI Lab. The AI Lab is focused on building AI models and deploying them to HP devices, with the goal of powering delightful end-user experiences across the HP device portfolio - representing some of the company's top P0 priorities. The role collaborates with a broad set of internal teams and external partners, keeps stakeholders informed of program progress and escalations, and proactively identifies and implements improvements in process, products, and business practices.
Responsibilities
  • Manages and leads AI Lab programs involving multiple functions and program teams, driving engineering development and deployment of AI models across the HP device portfolio.
  • Directs the development of overall program strategy, resource allocation plans, and milestone tracking for AI Lab initiatives.
  • Manages relationships with external partners including IHVs (e.g., Qualcomm) and ecosystem partners such as Microsoft; holds partners accountable to committed deliverables.
  • Communicates program progress, escalations, and issue analysis to product and engineering stakeholders; collaborates across teams to drive continuous improvement.
  • Monitors and enforces project schedules and quality with vendors and internal development partners.
  • Runs cross-functional meetings across many teams and stakeholder groups; drives alignment and clear ownership on action items.
  • Drives innovation and integration of new technologies and Gen AI capabilities into programs and activities.
  • Reviews and evaluates program plans for compliance with program management standards; provides feedback to improve execution quality and results.
  • Leads and mentors less-experienced staff to set an example of program management excellence.

Education & Experience
  • Four-year or Graduate Degree in Computer Science, Engineering, Business Administration, or a related field; or equivalent demonstrated experience.
  • Typically 10+ years of work experience in program management, preferably with exposure to AI/ML product programs, engineering development, or hardware-software co-development.
  • Demonstrated experience managing programs with Gen AI components.
  • Experience managing IHV or ISV partner relationships and driving accountability against external commitments.

Preferred Certifications
NA
Knowledge & Skills
  • Generative AI & Large Language Models (program-level, not research)
  • On-Device / Edge AI Deployment
  • AI/ML Product Development Lifecycle
  • Partner & IHV Relationship Management
  • Project Management (Milestones, Schedules, Risk)
  • Cross-Functional Program Execution
  • Agile & Scrum Methodologies
  • JIRA / Program Tracking Tools
  • Risk Management & Escalation
  • Process Improvement
  • Stakeholder Communication & Executive Reporting

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts the company's highest-priority AI initiatives and leads large, cross-division functional teams spanning engineering, product, and external partners across a Global Business Unit.
Complexity
• Provides highly innovative solutions to complex, ambiguous problems at the intersection of AI model development, hardware-software integration, and partner ecosystem management. Operating within a fast-moving environment where established policy is often being defined in real time.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Salary Range: $158,000 - $234,000
Compensation & Benefits (Full-Time Employees)
The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.
At HP IQ, we offer a competitive and comprehensive benefits package, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
    • 4-12 weeks fully paid parental leave based on tenure
    • 11 paid holidays
    • Additional flexible paid vacation and sick leave (US benefits overview)

Job -
Engineering
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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