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Generative Ai Video Games Jobs (NOW HIRING)

Figure

Helix AI Engineer, Generative AI

San Jose, CA

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

... in video games. Meanwhile, our innovative Skybeam platform makes it easy for any brand to be on TV ... The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

... in video games. Meanwhile, our innovative Skybeam platform makes it easy for any brand to be on TV ... The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

... in video games. Meanwhile, our innovative Skybeam platform makes it easy for any brand to be on TV ... The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ...

Adobe

Applied Scientist, Generative AI/ML

Los Angeles, CA

$151K - $265K/yr

The related applications include image/video/3D generation, editing, and understanding, conditioned ... Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research ...

Adobe

Applied Scientist, Generative AI/ML

Seattle, WA

$151K - $265K/yr

The related applications include image/video/3D generation, editing, and understanding, conditioned ... Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research ...

Adobe, Inc.

Applied Scientist, Generative AI/ML

San Jose, CA · On-site

$151K - $265K/yr

The related applications include image/video/3D generation, editing, and understanding, conditioned ... Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research ...

Adobe

Applied Scientist, Generative AI/ML

San Francisco, CA · On-site

$151K - $265K/yr

The related applications include image/video/3D generation, editing, and understanding, conditioned ... Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research ...

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Generative Ai Video Games information

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How much do generative ai video games jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for generative ai video games in the United States is $15.27, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $18.27 per hour, depending on experience, location, and employer.

What are generative AI video games?

Generative AI video games are games that use artificial intelligence to create dynamic, adaptive, or procedurally generated content such as levels, characters, stories, or behaviors. This technology allows for more personalized and unpredictable gaming experiences, as the game can respond to player actions in unique ways or generate new scenarios each time it is played. Developers use generative AI to enhance creativity, replayability, and immersion in video games, making each playthrough unique.

What are some common challenges faced by professionals working on generative AI for video games, and how can new hires prepare to address them?

Professionals in generative AI for video games often encounter challenges such as balancing creativity with technical constraints, ensuring generated content aligns with the game’s design vision, and maintaining performance optimization. New hires can prepare by developing strong communication skills to work closely with designers and developers, gaining experience with procedural content generation, and staying updated on the latest AI research. Familiarity with popular game engines and a solid understanding of both AI algorithms and player experience expectations are also invaluable.

What is the difference between Generative Ai Video Games vs Game Developers?

AspectGenerative Ai Video GamesGame Developers
CredentialsKnowledge of AI, programming, game designDegree in computer science, game design, or related fields
Work EnvironmentGame studios, AI research labs, remoteGame studios, tech companies, freelance
Industry UsageCreating AI-driven, procedurally generated gamesDesigning, developing, and testing video games
Search & ComparisonFocus on AI technology in gamingBroader game development process

Generative Ai Video Games involve using AI algorithms to create dynamic, procedurally generated gaming experiences, often requiring expertise in AI and programming. Game Developers design and build entire games, including coding, storytelling, and mechanics. While both roles work within the gaming industry, Generative Ai Video Games focus on AI-driven content creation, whereas Game Developers handle the overall game development process.

What are the key skills and qualifications needed to thrive as a Generative AI Video Game Developer, and why are they important?

To thrive as a Generative AI Video Game Developer, you need a strong background in computer science, game development, and machine learning, often supported by a relevant degree or industry experience. Familiarity with AI frameworks (like TensorFlow or PyTorch), game engines (such as Unity or Unreal Engine), and procedural content generation tools is typically required. Creativity, problem-solving, and effective collaboration are crucial soft skills for innovating new gameplay experiences and working in multidisciplinary teams. These skills ensure the creation of engaging, dynamic game environments and drive the successful integration of AI into interactive entertainment.
More about Generative Ai Video Games jobs
What cities are hiring for Generative Ai Video Games jobs? Cities with the most Generative Ai Video Games job openings:
What states have the most Generative Ai Video Games jobs? States with the most job openings for Generative Ai Video Games jobs include:
What job categories do people searching Generative Ai Video Games jobs look for? The top searched job categories for Generative Ai Video Games jobs are:
Generative Ai Video Games jobs near you
Infographic showing various Generative Ai Video Games job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 49% Full Time, 45% Part Time, 3% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $31,769 per year, or $15.3 per hour.
Helix AI Engineer, Generative AI

Helix AI Engineer, Generative AI

Figure

San Jose, CA

Other

Posted yesterday

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. 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 training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning.

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
Requirements
  • 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
Bonus Qualifications
  • 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

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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