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We’re looking for a fantastic, high-agency software engineer to join our team and push us forward. Turing Labs is transforming product and R&D innovation across the Consumer Packaged Goods space and beyond. We use our own machine learning tools, modern LLMs, and traditional software and data models to build product experiences that users can trust and rely on while inventing the products of tomorrow. You’ll work directly with the founder, food science domain experts, ex-math professors, and our customers to define and build our platform.

What you'll do:

• Engage deeply with real-world problems and own the complete lifecycle of creating novel, differentiating solutions.
• Talk directly to customers. We want our best problem solvers as close to the users as possible.
• Support and continue to build out our backend traditional compute architecture (React, TypeScript, Bun, Elysia) as well as our agentic infrastructure (LangChain-based).
• Help us expand the horizons of what's possible by combining machine learning, agentic AI, and traditional software approaches to solve problems no one approach can handle.
• Within 15 days: own implementation of a small feature.
• Within 30 days: own end-to-end a major improvement to our agentic toolkit that makes product innovation better.
• Within 45 days: invent and deliver something you created based on your conversations with our users, internal experts, and customers.
• Work directly with the founder on problems that shape the whole product.

A good fit likely has:

• An aptitude for problem-solving and learning. We don’t care exactly what you’ve done before; we care that you can go all-in and accomplish anything you set your mind to.
• 3+ years of software experience building real products/tools that people actually use. We’re trusting you to build a good nucleus!
• Proven high-ownership mindset: ability to work independently and be self-motivated, e.g. former founders or those that took extreme ownership in startups.
• An attitude of getting the most out of AI coding tools - not just as a speed multiplier for coding, but as a backbone for rethinking processes, revolutionizing work roles, and achieving the impossible.
• Excellent communication and candor. You’ll be directly communicating with customers, users, engineers, domain experts, etc.

It’s a bonus if you have:

• Experience or education in scientific computing, machine learning, data visualization and analytics, domain-specific tools, or similar.
• Experience interfacing with end users/customers.
• DevOps knowledge.
• UX and/or product experience. You’ll be building things non-technical users touch, use, and rely on every day.
• You’re a previous founder or founding engineer. You have built something from scratch that people use or pay for.
• You’re unusually obsessed with hard problems. Your current skills or even what you've done before are less important than your ability to go all-in and accomplish anything that you set your mind to.

About us:

• We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries.
• Our core platform can’t be killed by the next release of ChatGPT.
• We are a small, elite team that is breaking new ground in how engineering work can be done and how problems can be solved.
• We operate with a high agency, high-speed culture: we trust you, we want you to build great things fast.

Why this matters

Nearly everything you eat, drink, wash with, or put on your skin was formulated by a scientist balancing taste, cost, safety, and shelf life all at once. That work is some of the most consequential on earth, done by some of the most capable people you'll meet, but the tools haven't kept up with them. We work alongside food scientists and R&D teams to build the system they've never had, so their expertise goes further and faster on the products 8 billion people use every day. Food and beverage is where we start, but the mission is bigger: making what people put in and on their bodies better, for the people doing the work and the millions who live with the result.

Why this is hard (and interesting):

• You are building a product experience that translates ambiguous, highly complex, subjective expertise and physical chemistry needs into a solution for users who never had better tools than spreadsheets.
• This requires going far beyond traditional statistical methods and basic LLM calls. You will own the end-to-end development of AI-powered features across the backend, frontend, and deployment layers. You will build on our proprietary ML algorithms, LLMs, internal embeddings, and structured data models to create product experiences that users actually trust.
• This is a zero-to-one build. You will ideate, plan, and deliver software that consistently exceeds customer expectations. You will collaborate tightly with our ML team to ensure outputs are not just mathematically accurate, but practically trustworthy in a lab.

Benefits:

• Learning and knowledge stipend
• One of the top 5% of 401(k) plans among US companies
• Medical, dental, and vision insurance
• Equity: 0.10% to 0.40%

This position is in person in Palo Alto, CA.