San Francisco, CA
Full time
Paradigm
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
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