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Ai Lab Jobs in California (NOW HIRING)

Sieve

Product & Ops Lead

San Francisco, CA · On-site

Job Summary : Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in high-quality training data for various applications. The Product & Ops Lead will manage ...

humans&

Member of Technical Staff

San Francisco, CA · On-site

$450K/yr

Member of Technical Staff humans& is a human-centric frontier AI lab. We believe AI can be reimagined, centering around people and their relationships with each other. We are looking for researchers ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

Cogent Security is an Applied AI Lab focused on building AI agents for cybersecurity. As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

Cogent Security is an Applied AI Lab focused on building advanced AI agents for cybersecurity. As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code ...

Cogent Security

Research Scientist

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 ...

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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.

Software Engineer - Applied AI

Cogent Security

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 6 days ago

Job description

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 unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
  • Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
  • World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
  • Preeminent research labs like Deepmind and SAIL

About the Role
As we onboard our first design partners, Cogent is launching the world's first AI cyber taskforce, which is composed of AI agents capable of human-caliber reasoning for cybersecurity tasks. We are looking for talented, ambitious AI/ML Engineers who are excited to build in the Applied AI space.
What You'll Do & Achieve
  • Architect and launch the world's first AI Cyber Taskforce
    • Work closely with our design customers to design and launch our flagship AI agents that are capable of automating tasks in vulnerability management
    • Understand business goals, product and technology strategies, and customer requirements and implement business-critical AI systems to achieve them
    • Identify appropriate datasets and data representations to support system development
    • Decompose existing enterprise security workflows into sub-tasks that can be modeled as an autonomous system
    • Experiment with the latest advancements in long-term reasoning and planning to design systems that allows Cogent to evolve the data flywheel of our AI products from initially highly supervised to eventually autonomous and managed by exception
  • Build and extend Cogent's Gen AI Platform
    • Implement reusable system components for ranking, retrieval and search systems powered by LLMs for agentic automation
    • Put in place frameworks to train, evaluate, and stress-test ML systems, and extend improvements on Cogent's Gen AI platform
    • Stay on top of and when appropriate, propose incorporating cutting edge developments in ML and Gen AI into Cogent's AI systems
  • Help create a robust engineering culture at Cogent
    • Onboard, support and uplevel future team members
    • Mentor and grow future junior team members
    • Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives

What You'll Bring
  • Multiple years of relevant experience in developing and deploying AI-driven systems, with a proven track record of architecting practical, production-grade solutions that solve real-world problems
  • Expertise in machine learning, deep learning, and AI models, with a deep understanding of how to apply these technologies to build scalable, performant systems in production environments
  • Experience with designing and deploying agentic systems and autonomous agents, as well as integrating these AI components into larger applications or products
  • Ability to address and navigate real-world scale and performance challenges, ensuring that AI models and systems are efficient, robust, and performant under production constraints
  • Familiarity with cutting-edge AI technologies, including reinforcement learning, natural language processing, computer vision, and large-scale generative models
  • Proven ability to work iteratively and collaborate with cross-functional teams to evolve AI models and systems that meet evolving product needs and user expectations
  • Passion for staying at the forefront of AI advancements, continuously learning and applying emerging techniques to improve product performance and drive innovation

For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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