1

Generative Ai Engineer Jobs in California (NOW HIRING)

Generative AI Engineer

Sunnyvale, CA · On-site

$100 - $150/hr

Generative AI Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. Responsibilities : • ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand and interact with the physical world, with a focus on training and deploying ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Generative AI Lead We are hiring a Generative AI Lead to spearhead AI innovation at our Pleasanton ... Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ...

Senior AI Engineer

Palo Alto, CA · On-site

$180 - $260/hr

About the Role As an AI Engineer at Hippocratic AI , you'll play a pivotal role in shaping the future of voice‑based generative AI in healthcare . You'll design and build the intelligent systems ...

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive ...

next page

Showing results 1-20

Generative Ai Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do generative ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for generative ai engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in California? The most popular types of Generative Ai Engineer jobs in California are:
What job categories do people searching Generative Ai Engineer jobs in California look for? The top searched job categories for Generative Ai Engineer jobs in California are:
What cities in California are hiring for Generative Ai Engineer jobs? Cities in California with the most Generative Ai Engineer job openings:
Infographic showing various Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Generative AI Engineer

Socket.dev

Sunnyvale, CA • On-site

$100 - $150/hr

Other

Posted 4 days ago


Job description

Generative AI Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Generative AI Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for an Generative AI Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required Qualifications
  • Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.
  • Six or more years of combined ML research and engineering experience, with significant LLM exposure.
  • Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
  • Hands‑on experience fine‑tuning transformer‑based language models at non‑trivial scale.
  • Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
  • Experience with RLHF, DPO, or other preference optimization techniques.
  • Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
  • Experience operating training jobs on GPU clusters and recovering from failures.
  • Strong written and verbal communication skills.
  • Track record of shipping or publishing impactful LLM work.
Preferred Qualifications
  • Publications at top‑tier ML venues.
  • Experience with multimodal model fine‑tuning.
  • Familiarity with synthetic data generation and dataset distillation.
  • Open‑source contributions to LLM training libraries.
  • Exposure to responsible AI evaluation and red‑teaming practices.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohib i

#J-18808-Ljbffr