Member of Technical Staff - Design Engineering

Founding Member of Technical Staff — Design Engineering

Join to apply for the Founding Member of Technical Staff — Design Engineering role at TensorZero

Founding Member of Technical Staff — Design Engineering

2 days ago Be among the first 25 applicants

Join to apply for the Founding Member of Technical Staff — Design Engineering role at TensorZero

This range is provided by TensorZero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00 / yr - $300,000.00 / yr

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation.

See our GitHub repository to learn more.

Our ultimate goal is to enable LLM applications to learn from real-world experience . The current offering is the first step towards that vision : it enables a feedback loop for optimizing LLM applications, turning production data into smarter, faster, and cheaper models.

There are engineering teams building with TensorZero in all sorts of industries : healthcare, finance, recruiting, developer tools, consumer, etc.

Here's a case study : Automating Code Changelogs at a Large Bank with LLMs

Our technical team includes a former Rust compiler maintainer, machine learning researchers (Stanford, CMU, Oxford, Columbia) with thousands of citations, and the chief product officer of a decacorn startup.

We're backed by the same investors as leading open-source projects (e.g. ClickHouse, CockroachDB) and AI labs (e.g. OpenAI, Anthropic). We're lucky to have years of runway, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision.

Role

We are looking for a Founding Member of Technical Staff with a background in design engineering. 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.

You can learn more about our technical roadmap and vision here. As a preview, if you joined today, you'd take on our open-source UI that helps engineers manage the entire TensorZero operation — think of it like the AWS Console for TensorZero. The UI streamlines workflows for observability, optimization (e.g. fine-tuning), evaluations, and more.

Team & Culture

We're a small technical team based in NYC (in person) . As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision.

• Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford.
• Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford.
• Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler… while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He's also an active contributor to many notable open-source Rust projects (e.g. Ruffle).
• Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 3.3k+ citations and several first-author papers at NeurIPS and other top ML venues.
• Kincaid O'Neil (MTS) is a full-stack engineer who previously founded Gathers, a consumer social startup that curated intimate in-person experiences. Before that, he built open-source payments infrastructure for the Interledger Protocol and worked at Coil, Ripple, and Kava.
• ¦¦¦¦¦ (incoming MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at ¦¦¦¦¦ and received a PhD in Statistics from CMU, during which he interned at ¦¦¦¦¦ and ¦¦¦¦¦.
• _____ You?

What We Offer

We're Looking For

You can find us on Github : https : / / github.com / tensorzero / tensorzero

Compensation Range : $200K - $300K

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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