The role involves developing features for a product, managing codebase areas, interacting with customers, and taking on challenging projects.
What You'll Be Responsible For
Compensation
- Develop new features for our early product, working across large scale data pipelines and web application development
- Have end to end ownership over significant features and areas of the codebase
- Work directly with our customers to understand and address feature gaps in our product
- Take on long-duration, technically challenging projects to build new capabilities into our product
- 2+ years of experience as a generalist software engineer that is flexible working across the stack
- CS / computer engineering degree (or equivalent)
- Excited to work in a startup environment, including shipping quickly to address customer feedback
- Previous experience at high growth startups
- Full stack experience, ideally with React and Python
- Experience working with LLMs, particularly with LLM evals
- Experience training and fine-tuning deep learning models / LLMs
- Demonstrated interest in the life sciences
The base pay range for this role is $180,000 – $300,000 per year.
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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
