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Apprentice Generative Ai Engineer Jobs in California

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 ...

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 ...

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 ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer

Pasadena, CA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

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Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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 are popular job titles related to Apprentice Generative Ai Engineer jobs in California? For Apprentice Generative Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in California look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in California are:
What cities in California are hiring for Apprentice Generative Ai Engineer jobs? Cities in California with the most Apprentice Generative Ai Engineer job openings:
Infographic showing various Apprentice Generative Ai Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Helix AI Engineer, Generative AI

Helix AI Engineer, Generative AI

Figure

San Jose, CA • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. 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:
• Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
• Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
• Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
• Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
• Optimize training pipelines for large-scale generative models across distributed systems
• Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
• Evaluate model quality, robustness, and generalization across real-world scenarios
• Contribute to the design of scalable experimentation frameworks for generative model development
Qualifications:
Required:
• Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
• Strong understanding of modern deep learning techniques for vision and/or multimodal systems
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with large-scale datasets and distributed training systems
• Strong experimental rigor and ability to iterate quickly on model performance
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and own ambiguous, high-impact technical problems
Preferred:
• Experience with diffusion models for image or video generation
• Experience with multimodal foundation models (vision-language or vision-language-action)
• Background in synthetic data generation or simulation for robotics or embodied AI
• Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
• Familiarity with 3D, video prediction, or world models
• Prior work in robotics, embodied AI, or real-world ML systems
• Publication record in machine learning, computer vision, or generative modeling
Company:
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.