Values

The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory”
The ad says“(For complexity theory) Demonstrated expertise in theoretical computer science, including creative modeling and assumption generation”

Status (updated 21 August 2026): we are currently reviewing applications for Scalable Oversight only. Hiring for our other research areas is temporarily paused; we expect to resume in the next ~2 months. You may still apply for those areas, and we will update you when those processes restart.

About Resolution

Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which — if it succeeds — would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.

Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the £30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.

For more information, see our announcement.

About the Team

We are hiring Research Scientists across our research programs. The team you'd join depends on your strengths and interests. In your application, indicate which program(s) you'd be most interested in.

Status (updated 21 August 2026): We are currently reviewing applications for Scalable Oversight. Hiring for other research areas is temporarily paused due to capacity constraints; we expect to resume in the next ~2 months. You may still apply for those areas; we will update you when those processes restart and will get back to everyone.

About the Role

As a Research Scientist at Resolution, you'll work as part of a research program led by a senior researcher (which could be you!). At Resolution, our goal of reaching higher confidence in alignment will require significant new contributions in both methods and scientific understanding. The work you do day-to-day will be part of a collaborative research program; all programs involve deep technical research, with strong support for cross-program collaboration. We welcome both empirical and theoretical profiles.

Responsibilities

Research within your program: both translating and modelling alignment problems into concrete empirical or theoretical form and executing on the resulting concrete problems. Execution means designing and running experimental protocols and methods for empirics, and proving, conjecturing, and investing in autoformalization for theory.
Writing and presentation of completed research in the form of papers, blog posts, and talks.
Communication of research progress and obstacles to members of your team through channels like Slack on a daily basis and in weekly meetings.

You May Be a Good Fit If You

Have a graduate degree (Ph.D.) or equivalent experience in a field relevant to the program you're applying to: ML, CS, mathematics, physics, statistics, philosophy, or something closely related
Have a track record of research and strong technical writing ability: papers, preprints, or comparable output
Have a strong mathematical background, even if your work is primarily empirical
Can credibly articulate why your area of alignment work is worth pursuing
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time

Strong Candidates May Also Have

(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory
(For complexity theory) Demonstrated expertise in theoretical computer science, including creative modeling and assumption generation
(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory
(Across programs) Experience scaling experiments to billion-plus parameter models; a track record of productive collaboration with engineers; prior engagement with our research or sibling organizations (Simplex, ARC, etc.). Experience with AI alignment is a plus, but is not a requirement: we are excited to bring experienced researchers from other fields into alignment work, and we see our ability to facilitate that transition as one of Resolution's comparative advantages.

Research Program Lead

We're also building out program leadership across our research areas. We expect to fill these roles primarily through targeted headhunting rather than open applications. If you think you might be a strong fit for a Research Program Lead position, a senior researcher who could direct an entire research program at Resolution, please reach out to us directly.

Application Process

Initial screener. A 15-minute conversation with an engineer or researcher to discuss your research background, motivations, and interests.
Work test + review. A 4-hour take-home assignment followed by a 45-minute discussion of your work. We'll compensate you for your time, subject to right-to-work constraints.
Experience interview. A 30–40 minute interactive conversation about your previous research and experience.
Leadership 1:1. A 30-minute conversation with a member of our research leadership.
References. Collected late in the process.

Logistics

Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:

L3: $141,000 remote; $236,000 in-person
L4: $208,000 remote; $346,000 in-person
L5: $270,000 remote; $451,000 in-person
L6: $402,000 remote; $670,000 in-person
L7: $558,000 remote; $930,000 in-person

Strong early-career researchers will typically come in at L3. Someone with several years of independent research experience would likely start at L4 or L5.

Location: Berkeley, California. Remote may be considered in exceptional cases.

Benefits:

5 weeks of paid vacation per year, in addition to public holidays.
Comprehensive healthcare insurance (medical, dental, vision).
Unlimited sick leave to prioritize your well-being.
An unconditional 401(k) contribution equal to 4% of your salary.

Visa sponsorship: We can sponsor visas for relocation to Berkeley.

Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.

Timeline: For Scalable Oversight, applications are reviewed on a rolling basis, with priority given to those who apply early, so please apply ASAP. We'll respond to those applications within two weeks of receipt. For other research areas, see the status note above.

Start date: ASAP.

AI Usage

We may use automated systems and AI tools to support recruiting and hiring activities. Final hiring decisions are made by human decisionmakers.