Software Engineer, Applied AI

Actual starting pay may vary based on a range of factors which can include experience, skills, and scope. This role is eligible for additional performance-based compensation as well as a comprehensive benefits package.

The Firm

Paradigm is a San Francisco-based investment firm focused on crypto and blockchain-related technologies across the globe. We make investments in companies and protocols at all stages including early-stage venture financing rounds, growth equity, and liquid token assets. Paradigm was co-founded in 2018 by Matt Huang (former Partner at Sequoia Capital) and Fred Ehrsam (co-founder of Coinbase). We are building a world-class team to support our portfolio and the crypto ecosystem globally.

The Role

Paradigm’s core product is decisions. Those decisions are a function of a huge amount of information – about our investments, about people, and about the external world. This person’s job will be to use the most cutting-edge AI tools to build products that will help us make better decisions.

Responsibilities

• Run experiments to test where AI can make things faster, smarter, or more efficient

• Build tools and features that use AI to improve how we work

• Make strategic decisions on how and where we apply AI at Paradigm

• Own projects, from figuring out the problem to shipping the solution

• Pitch in on core engineering work: performance, reliability, code reviews

Qualifications and Experience

• 5+ years of software engineering experience, with experience applying AI/ML in production environments

• Track record of applying modern AI and software systems to solve complex, ambiguous problems end-to-end.

• Comfortable navigating everything from foundational models to full-stack product delivery

• Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals

• Ability to work autonomously and as a collaborator on the team

• Able to work in-person in San Francisco, CA 3 days a week.

Attributes

• Exceptional team player

• Extreme open-mindedness

• Clarity of thought

• Clear and concise communication (both written and verbal)

• Technical depth; analytical; rigorous

• Highly curious; fast learner

• Ability to bridge technical and investing mindsets

• Interest in frontier technologies and crypto markets

Compensation Range: $400K – $550K