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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 hiring a compensation partner to join our Operations team. You'll own the full spectrum of compensation at Thinking Machines – from building our philosophy and job architecture to partnering on day-to-day offer and pay decisions.
This role directly impacts our ability to hire and retain exceptional talent. We're looking for a compensation partner who brings a point of view, not just a process.
Minimum qualifications:
Preferred Qualifications
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.
Ready to apply?
Apply to Thinking Machines Lab
Share this job
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 hiring a Recruiting Coordinator to help us build a best-in-class recruiting engine as we scale. This is a coordination-heavy role, but the scope goes beyond scheduling - you'll own the systems and processes that keep the team organized and moving, and you'll be expected to improve them over time.
This means helping to build the processes, documentation, and systems that grow with us, not just executing the ones that already exist. Beyond scheduling, you'll plug into broader recruiting operations such as talent mapping, reporting, referral processing, and events - wherever the team needs support.
Minimum qualifications:
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
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.
Ready to apply?
Apply to Thinking Machines Lab
Share this job
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.
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 a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty.
The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent.
You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.
Minimum qualifications:
Preferred qualifications:
We encourage you to apply even if you don’t meet all preferred qualifications.
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.
Ready to apply?
Apply to Thinking Machines Lab
Share this job
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.
Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.
We're hiring a GTM Strategy & Operations lead to build the commercial engine for Tinker. You will craft the strategies, processes, and playbooks that turn organic adoption into a scalable, repeatable revenue engine. You'll drive how we package, price, launch, and sell fine-tuning capabilities across segments, working in close partnership with product, engineering, and research.
Tinker is a technical product sold to sophisticated buyers. The GTM lead needs to be credible in conversations about training infrastructure and fluent in how developers evaluate and adopt tools.
Minimum qualifications:
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
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.
Ready to apply?
Apply to Thinking Machines Lab
Share this job
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 hiring an Executive Business Partner to support several technical leaders out of our San Francisco office. You will help our team stay focused and organized, managing personal logistics and any tasks that might fall through the cracks.
This is a non-traditional EA role, requiring creativity in adapting to different people’s work styles and the new challenges that emerge at a fast-moving startup. The role entails real autonomy in making decisions without tight supervision.
Minimum qualifications:
Preferred qualifications:
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.
Ready to apply?
Apply to Thinking Machines Lab
Share this job
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 are hiring our first technical sourcer to ensure that Thinking Machines has a pipeline of exceptional candidates for technical roles. You will develop a sourcing strategy that meets both challenges: identifying and tracking the best talent, and getting them interested in our company. This role requires nurturing relationships, understanding technical fields, and staying focused on the long game.
Minimum qualifications:
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
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.
Ready to apply?
Apply to Thinking Machines Lab
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