Frontier Research Intern: AI & Emerging Tech in NYC

Andreessen Horowitz; New York (NY); On-site; USD 159,000 - 205,000; Full time

Job summary

Andreessen Horowitz Frontier invites highly motivated students to join its NYC-based summer lab, bridging academic theory with industry practice. The role emphasizes AI-enabled research across disciplines, with collaboration from investors and engineers, and hands-on work on portfolio problems.

Ideal candidates are pursuing undergrad or grad studies in CS, economics, math, or related fields, and eager to explore emerging areas in AI, cryptography, hardware, and quantitative research.

Qualifications

• Pursuing undergraduate or graduate degree in a relevant field such as computer science, economics, mathematics, operations research, electrical engineering, mechanical engineering, materials science, physics, chemistry, biology, etc.
• Passionate, knowledgeable, and optimistic about science and technology.
• Experience with absorbing and producing fundamental research.

Responsibilities

• Pursue fundamental research on topics relevant to the firm.
• Collaborate with a16z Frontier's full-time researchers and other student interns.
• Collaborate with portfolio companies on technical research problems.
• Quickly develop expertise in emerging areas of science and technology.
• Take full advantage of the latest generation of AI tools.
• Contribute to blog posts, white papers, and other public expository content.
• Meet with visitors from academia and industry and attend research seminars.

Skills

Strong technical background

AI/ML interest

Education

Computer Science

Economics

Mathematics

Operations Research

Electrical Engineering

Mechanical Engineering

Materials Science

Physics

Chemistry

Biology

Job description

Andreessen Horowitz Frontier invites highly motivated students to join its NYC-based summer lab, bridging academic theory with industry practice. The role emphasizes AI-enabled research across disciplines, with collaboration from investors and engineers, and hands-on work on portfolio problems.

Ideal candidates are pursuing undergrad or grad studies in CS, economics, math, or related fields, and eager to explore emerging areas in AI, cryptography, hardware, and quantitative research.