Axiom Bio Logo

Axiom Bio

Product Engineer

Posted 6 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
Mid level
In-Office
San Francisco, CA
Mid level
Lead the design and development of Axiom's products and internal tooling for scientific data visualization and machine learning research, working closely with scientists and teams to create innovative solutions.
The summary above was generated by AI

Charter:

Design and ship the first products that replace lab and animal toxicity experiments with accurate AI while also building the next generation of internal tooling for ML research.

Examples:

  • https://axi.om/dataset

  • https://app.axi.om/workspace/demo/model/latest

What are we looking for:

At the highest level, we only want to hire people who deeply inspire us and relentlessly push us to be better. They must level up the entire team, bringing significant energy and a sense of awe. High agency is critical: they see what’s important and they do it. Doing is the key but it should be guided by great taste for what truly matters. We’re looking for folks doing those niche hobbies and activities, the ones that might not make sense at first glance, but eventually reveal profound depth and passion when you dive in with them. These individuals act with intentionality or whimsical naivety like an immigrant in a new country, a performer trying to break out, or someone teaching themselves to code or garden. There must be a deep curiosity for all facets of Axiom, an ambition fueling their exploration of what we do. They want to do something here, to dive in headfirst, but they know they need to learn more, so they search with an insatiable hunger. They need to be cracked, technically excellent, obsessive masters of their craft. They're irrational; they could work in big tech, but they know it will not satisfy them. They want the pain of doing something brutally hard along with the riches and glory when it finally works.

What you will do:

  • Lead Axiom’s products and internal tooling for complex scientific data visualizations and machine learning research

  • Build the core foundations of web applications which can process and display massive amounts of complex data

  • Work with internal and external teams to develop the best software that scientists have ever used in their lives

  • Architect and implement full-stack product systems from customer data storage, data visualization, product flows, auth, deployment, testing, etc

  • Manage enterprise customer workflows from workspace creation, deployment, onboarding, and maintenance for the largest companies in the world

  • You will be the design architect for a product that changes how science is done and for next generational tooling for ML/data research

  • Own all things design at Axiom, with a focus on product and internal tooling design

    • Work closely with internal scientists and external design partners

    • Map out how people interact with our product, what they value and how we help them realize that value

    • Build the visual brand & design system as we go

  • You are in the trenches and in the loop working with AI researchers day in & out, using great tooling to discover how emerging biological AI capabilities scale

We’re especially interested in:

  • Full-stack engineers who are 70% frontend and 30% backend

  • Typescript, Svelte 5, Sveltekit, React, NextJS

  • Python, FastAPI, DuckDB, Postgres, Modal, Ray

  • [Optional data visualization] D3, SVG, Vega, Three.js, Webgl, WebGPU

What we look for:

  • Simplified extremely complex problems with great software; ability to work with a massive amount of complex scientific data

  • Deep pride for the portfolio of great software they’ve built

  • Built and deployed production software systems used by large enterprise businesses or great machine learning teams

  • Maintained and onboarded production customer workspaces and data for mission critical clients

  • Has a knack for surfacing the important/interesting product questions related to user needs

  • Great taste in brand and visuals

  • Sharp and confident

    • keep up with a really technical & sophisticated crowd

    • comfortable getting in over their head and figuring it out as they go

    • navigate & make sense of a complex conceptual + data landscape

  • Curious about how things work: has an engineering / tinkering mindset, is good at scavenging the state of the art

  • Passion for learning about research (ml/biology/chemistry) from deep domain experts

Top Skills

D3
Duckdb
Fastapi
Modal
Nextjs
Postgres
Python
Ray
React
Svelte 5
Sveltekit
Svg
Three.Js
Typescript
Vega
Webgl
Webgpu
HQ

Axiom Bio San Francisco, California, USA Office

San Francisco, CA, United States, 94107

Similar Jobs

3 Days Ago
Hybrid
San Francisco, CA, USA
Mid level
Mid level
Information Technology • Other • Software • Financial Services
As a Product Engineer at Rejigg, you will develop and launch product features from prototype to production, collaborating closely with the founders and stakeholders, improving product quality and architecture for scaling.
Top Skills: AIDjangoNext.JsPostgres
12 Days Ago
Hybrid
2 Locations
11K-11K Annually
Internship
11K-11K Annually
Internship
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
As a Product Engineer Intern, you'll build product features using React, Typescript, and Python, collaborate with AI engineers, and contribute to the full development lifecycle.
Top Skills: PythonReactTypescript
12 Days Ago
Hybrid
San Francisco, CA, USA
170K-220K Annually
Senior level
170K-220K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Cryptocurrency • Web3
The Senior Product Engineer will build full-stack features, integrate LLMs into apps, solve technical problems, and lead project execution while ensuring code quality.
Top Skills: DockerEthers.JsFoundryGithub ProjectsGoGraphQLHardhatKubernetesNext.JsRedux ToolkitRustSolidityTrpcTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account