Software Engineer, Applied AI

The Firm

Paradigm is a San Francisco-based investment firm focused on crypto and frontier technologies across the globe, with over $11 billion in assets under management. We make investments in companies and protocols at all stages, ranging from early-stage venture financing rounds to growth equity to liquid token assets.

Paradigm was co-founded in 2018 by Matt Huang (former Partner at Sequoia Capital) and Fred Ehrsam (co-founder of Coinbase). Since then we’ve been hard at work building a world-class team of brilliant mutants to investigate the world’s most beautiful technical problems. Our research-driven approach helps us build relationships with founders and entrepreneurs, but it also reflects our broader goal of growing the crypto ecosystem globally and accelerating crypto’s ability to advance the world we live in. We believe that crypto will ultimately redefine money, finance, and the internet itself, and this technological revolution will have a fundamental and long-lasting impact on the global economy.

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 build products that will help us make better decisions. New AI tools are showing up on a weekly basis, but the right way to integrate them into Paradigm’s current “brain” is still unclear. We need someone who’s going to ship quickly, experiment, and improve everyone’s judgment across the firm.

This person’s work will be central to every major decision Paradigm makes, both internally (hiring, workflows, portfolio management) and externally (investments).

Responsibilities

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

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

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

• 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 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