[Hiring] Alignment Scientist/Engineer @AE Studio

Role Description

You will be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status. Research that matters most in a world where AI systems are powerful enough to recursively self-improve with little human oversight.

• Projects will evolve as we bring on new collaborators and shift focus to what’s most impactful.
• You’re doing real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.

Qualifications

• Experience with ML research, alignment research, or both.
• You care about AI alignment and believe meaningful progress on the problem is possible.
• Strong Python skills and experience building, training, or evaluating deep learning models (NLP, vision, or LLMs).
• Experience calling AI model APIs via REST or client libraries.
• You can break complex problems into concrete experiments and execute on them, independently or with a team.
• Eager to use AI tools and automate everything you can.
• Comfortable in a fast-paced, startup-like environment.
• Clear communicator in English who can explain technical work to non-technical audiences.

Requirements

• Self-directed research or data science projects (show us what you’ve built, especially if it increases human agency).
• Software engineering background and best practices.
• Agile experience (Kanban, Scrum, XP).
• Experience managing clients and client relationships.
• Experience in startups.
• Being in LA to work from our office.

Benefits

• Remote-first with flexible schedules.
• Health insurance.
• Free lunches at the office.
• Weekly knowledge-sharing talks.
• Annual team retreat.
• Regular performance-based raises.
• Diversified employee equity program.

Compensation

The salary range is $180k to $240k per year for US-based candidates. Not in the range? Apply anyway. We’re growing fast and may have more senior roles opening soon.

We’re working towards a flourishing future for all conscious beings. If that’s what you want to work on, we want to talk to you.