Resolution

Role Description 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: 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. Qualifications - 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 - 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. - Demonstrated expertise in theoretical computer science, including creative modeling and assumption generation. - Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory. - 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. Application Process - Initial screener: A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests. - Work trial: A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints. - Work trial review: A 45-minute discussion of your work trial. - Research talk: A 30–40 minute interactive conversation about your previous research. - Senior 1:1: A 30-minute conversation with a member of our research leadership. 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: $738,000 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. Deadline - 19th July. Applications are rolling — please apply ASAP. We'll respond to applications within one week of receipt. Start Date - ASAP.

Role Description Research Engineers at Resolution are core members of our research teams, directly driving both research and the core infrastructure behind it. We believe clean engineering on automation, experimentation, and infra is essential to ambitious research, and that excellence on this front requires active research participation. Responsibilities - (Research automation track) - Build agentic research infrastructure: experiment orchestration, hypothesis generation, automated analysis pipelines; autoformalization tooling for the theory side; internal AI-powered tools for researchers. - (Program-embedded track) - Scale program experiments to frontier-tier models; build program-specific infrastructure; partner with researchers on engineering and implementation. - (Both) - Maintain and extend distributed training, experiment, and evaluation infrastructure. - Contribute to and maintain shared codebases across the org. - Communication of engineering & automation progress, obstacles & learnings to your team and the wider org via Slack and in weekly meetings. Qualifications - Strong software engineering background, including production-quality Python. - Deep experience with ML frameworks (PyTorch or Jax) and distributed-training stacks. - Demonstrated ability to ship complex systems end-to-end. - Bachelor's degree or equivalent in CS, physics, math, ML, or related. - Willingness to use AI tools aggressively in your own workflow, with appropriate care to not get fooled! - Motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time. Requirements - Experience with autoformalization, Lean, or other proof-assistant tooling. - Background in research infrastructure or ML platform engineering at frontier labs. - Experience scaling ML systems to 100B+ parameter scale. - Experience with CUDA kernel development or GPU optimization. - Familiarity with alignment research. 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 for relocation to Berkeley. Application Process - Initial screener: A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests. - Work trial: A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints. - Work trial review: A 45-minute discussion of your work trial. - Research talk: A 30–40 minute interactive conversation about your previous research. - Senior 1:1: A 30-minute conversation with a member of our research leadership. Logistics - Salary: - L3 (SWE I): $141,000 remote; $236,000 in-person. - L4 (SWE II): $208,000 remote; $346,000 in-person. - L5 (Senior SWE): $270,000 remote; $451,000 in-person. - L6 (Staff SWE): $402,000 remote; $670,000 in-person. - L7 (Senior Staff SWE): $738,000 remote; $930,000 in-person. - Location: Berkeley, California. Remote may be considered in exceptional cases. - 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. - Deadline: 19th July. Applications are rolling — please apply ASAP. We'll respond to applications within one week of receipt. - Start date: ASAP.