Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
We’re looking to add to our IT team to build the secure and efficient infrastructure that keeps our employees, researchers, and developers moving fast and working with joy. You’ll be a generalist, working across modern tools and thinking about how to deliver a delightful employee experience.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You’ll Do- Own the onboarding process for a growing team, including hardware procurement, shipping logistics, and account provisioning to ensure new hires hit the ground running.
- Manage our Identity Provider (Okta) to handle Single Sign-On (SSO), app provisioning, and access management for new and existing services.
- Oversee the network stack (ISPs/Firewalls) and manage physical office security, including door access control and camera systems.
- Lead the setup and support for conferencing and remote working technologies.
- Maintain and secure our fleet of macOS devices using MDM solutions, ensuring machines remain compliant and updated.
Minimum qualifications:
- 5+ years of experience in an IT Engineering, System Administration, or Corporate IT support role.
- Comfort operating in ambiguity owning projects end-to-end.
- Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
- A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
- Deep SaaS expertise with products including Google Workspace, Slack Enterprise, and GitHub.
- Strong understanding of Okta (specifically Okta Workflows) and Zero Trust security principles.
- Familiarity with managing physical security platforms for cameras and access like Brivo.
- Proven experience managing macOS devices via MDM.
- Ability to write scripts for automation (Python, Bash, or equivalent).
- Experience with vendor management and project management, particularly when coordinating with external contractors for office upgrades.
- Location: This role is based in San Francisco, California.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $475,000 USD.
- Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
- Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Top Skills
What We Do
Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
