What are the responsibilities and job description for the Founding Member of Technical Staff — ML Engineering / Research position at GreenFoot Technologies?
GreenFoot Technologies is searching for a "Founding Member of Technical Staff — ML Engineering / Research" for our New York City-based Client. Our Client is an open-source platform that creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models. $200K – $250K
- Integrate their model gateway
- Send metrics or feedback
- Optimize prompts, models, and inference strategies
- Watch your LLMs improve over time
It enables a data & learning flywheel for LLMs by unifying:
- Inference: one API for all LLMs, with <1ms P99 overhead
- Observability: inference & feedback → your database
- Optimization: from prompts to fine-tuning and RL (& even 🍓?)
- Experimentation: built-in A/B testing, routing, fallbacks
Role
Our client is looking for a Founding Member of Technical Staff with a background in ML engineering or research.
Why not “engineer” or "researcher"? They will not make a distinction between engineers and researchers to encourage people to have cross-functional scope and impact. Our CTO has a PhD in reinforcement learning and writes infrastructure code in Rust.
Today, they need help building delightful interfaces, but expect everyone to contribute to the entire project over time. The vast majority of your work will be open source. You’ll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch.
They Are Looking For
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Strong technical background — You’ve tackled hard technical problems. You’re comfortable driving large projects from inception to deployment.
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Background in LLMs or RL — You’ll complement the team with a strong background and technical leadership. In particular, they are interested in people with experience at the frontier of either LLMs or reinforcement learning.
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Hungry for personal growth — There are no speed limits at TensorZero. You’re excited about learning and contributing across the stack.
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In-person in NYC — They work in-person five days a week in NYC. They work hard and obsess about the craft – but maintain and encourage a healthy lifestyle with a long-term mindset.
What They Offer
Competitive compensation — They believe great talent deserves excellent compensation (salary, equity, benefits), even at an early-stage startup.
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Competitive compensation — They believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.
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Open-source contributions — The vast majority of your work will be open source and public.
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Learning and growth opportunities — You’ll join with a background in ML but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about Rust?).
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Small, technical, in-person team — You’ll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.
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Best-in-class investors — We’re lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset.
Salary : $200,000 - $250,000
