• A game for fun, a laboratory for safety,
    and a sandbox for culture.

Encultured AI is a video game company focused on enabling the safe introduction of AI technologies into our game world.

Team

Andrew Critch, PhD
CEO & Co-founder
Nick Hay, PhD
Machine Learning Lead & Co-founder
Alice Cecile
Game Programmer & Designer
Okko Hakola
Game Programmer & Rendering Expert
Nisan Stiennon, PhD
Machine Learning Gameplay Scientist
Cody Standing
Operations

Job Openings

Join our team and help define it! We are always looking for collaborators and visionaries excited to experiment. Our current openings:


The following positions have been filled, but please check back — we are always on the lookout for new team members!

  • Game Developer - Rust Game Engineer
  • Game Developer - Graphics Engineer
Job: Artist - Lead Pixel Artist

Artist - Lead Pixel Artist

Location

Mostly remote, over Zoom calls and Discord. At least once per week we work together in person in the San Francisco / Berkeley area for an in-person workday, so if you live nearby it’d be great to have you attend those.

Compensation

Starting between $100k and $125k per year depending on experience, plus healthcare benefits, and equity incentives vesting over 5 years, with raises also becoming available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Qualifications

In this role we need candidates who have experience developing and implementing a complete artistic vision for a modern pixel-art PC game, including characters, environments, and animation. A portfolio of existing work is required to qualify for this role. We particularly value experience managing other artists, coordinating contract artists, and skill articulating art requirements to other team members. We also welcome experience with:
  • Product branding, UI design, and/or graphic design.
  • Building games from early prototype to completion.
  • Real-time rendering requirements and pipelines.
  • Traditional visual arts or design background.
This is a senior position, in that we require candidates who already have demonstrable experience. Apply for this Artist position
Job: Game Developer - Gameplay Network Engineer

Game Developer - Gameplay Network Engineer

Location

Mostly remote, over Zoom calls and Discord. At least once per week we work together in person in the San Francisco / Berkeley area for an in-person workday, so if you live nearby it’d be great to have you attend those.

Compensation

Starting between $100k and $150k per year depending on experience, plus healthcare benefits, and equity incentives vesting over 5 years, with raises also becoming available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Qualifications

In this role we need candidates to have experience with building gameplay network infrastructure for modern multiplayer online games. We also welcome experience with:
  • graphics & rendering,
  • physics,
  • rust.
In addition, we have two tiers of qualification for this role: Junior Network Architect & Senior Network Architect. To qualify directly for the Senior title upon joining, we require candidates who have either:
  • a Bachelor’s degree or above in computer science, physics, mathematics, or a closely related field, or
  • extensive industry experience that is clearly beyond that of a typical college graduate in CS.
Apply for this Game Developer position
Job: ML Engineer - LLM Specialist

Machine Learning Engineer - LLM Specialist

Location

Mostly remote, over Zoom calls and Discord. At least once per week we work together in person in the San Francisco / Berkeley area for an in-person workday, so if you live nearby it’d be great to have you attend those.

Compensation

Starting between $120k and $180k per year depending on experience, plus healthcare benefits, and equity incentives vesting over 5 years, with raises also becoming available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Qualifications

In this role we need candidates to have experience with building and training large language models (LLMs).

In addition, we have two tiers of qualification for this role: Junior ML Engineer and Senior ML Engineer. To qualify directly for the Senior title upon joining, we require candidates who have received a Bachelor’s degree or above in computer science, physics, mathematics, or a closely related field.

These are not required, but our team will welcome and make good use of experience with:
  • building and training reinforcement learning algorithms and/or environments,
  • applying and developing AI alignment methods,
  • research on humans and human culture, including but not limited to background in the humanities, social sciences, cognitive science, and biology,
  • machine learning interpretability research and tools,
  • PhD-level research and writing.
Apply for this ML Engineer position
Job: ML Engineer - RL Specialist

Machine Learning Engineer - RL Specialist

Location

Mostly remote, over Zoom calls and Discord. At least once per week we work together in person in the San Francisco / Berkeley area for an in-person workday, so if you live nearby it’d be great to have you attend those.

Compensation

Starting between $120k and $180k per year depending on experience, plus healthcare benefits, and equity incentives vesting over 5 years, with raises also becoming available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Qualifications

In this role we need candidates to have experience with building and training reinforcement learning algorithms and/or environments.

In addition, we have two tiers of qualification for this role: Junior ML Engineer and Senior ML Engineer. To qualify directly for the Senior title upon joining, we require candidates who have received a Bachelor’s degree or above in computer science, physics, mathematics, or a closely related field.

These are not required, but our team will welcome and make good use of experience with:

  • building and training large language models (LLMs),
  • applying and developing AI alignment methods,
  • research on humans and human culture, including but not limited to background in the humanities, social sciences, cognitive science, and biology,
  • machine learning interpretability research and tools,
  • PhD-level research and writing.
Apply for this ML Engineer position
Job: ML Engineer - Reward-Modeling Specialist

Machine Learning Engineer - Reward-modeling Specialist

Location

Mostly remote, over Zoom calls and Discord. At least once per week we work together in person in the San Francisco / Berkeley area for an in-person workday, so if you live nearby it’d be great to have you attend those.

Compensation

Starting between $120k and $180k per year depending on experience, plus healthcare benefits, and equity incentives vesting over 5 years, with raises also becoming available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Qualifications

In this role we need candidates to have experience with applying and developing algorithms that learn to model human preferences represented as reward functions.

In addition, we have two tiers of qualification for this role: Junior ML Engineer and Senior ML Engineer. To qualify directly for the Senior title upon joining, we require candidates who have received a Bachelor’s degree or above in computer science, physics, mathematics, or a closely related field.

These are not required, but our team will welcome and make good use of experience with:

  • building and training reinforcement learning algorithms and/or environments,
  • building and training large language models (LLMs),
  • applying and developing AI alignment methods,
  • research on humans and human culture, including but not limited to background in the humanities, social sciences, cognitive science, and biology,
  • machine learning interpretability research and tools,
  • PhD-level research and writing.
Apply for this ML Engineer position