AE Studio has job openings for data scientists, machine learning engineers

AI alignment firm AE Studio is recruiting data scientists and machine learning engineers who are passionate about steering the future of artificial intelligence in a positive direction. The company’s approach combines profitable client work with long-term research initiatives, creating a sustainable model for tackling complex AI safety challenges while maintaining financial stability.

The big picture: AE Studio is pursuing a “neglected approaches” strategy for AI alignment, investing in underexplored but promising research areas and policy initiatives rather than following mainstream paths.

• Their technical work spans diverse areas including agent representations, feature steering with sparse autoencoders, and investigating information loss in out-of-distribution data.
• The company collaborates with alignment-focused startups like Goodfire AI while also exploring policy interventions and community health initiatives.

What they’re offering: AE Studio provides a blend of commercial work and alignment research opportunities with competitive compensation and equity incentives.

• The position includes full-time alignment research opportunities between client projects and equity stakes in internal R&D projects and startups.
• While remote work is possible, in-person collaboration at their Los Angeles location is strongly encouraged.

Who they’re looking for: Ideal candidates combine technical ML expertise with a genuine commitment to ensuring artificial intelligence benefits humanity.

• Applicants should be experienced in data science and machine learning, particularly deep learning in computer vision, natural language processing, or large language models.
• The company values autonomy, communication skills, and a growth mindset alongside technical abilities like Python proficiency and familiarity with model APIs.

Why this matters: As AI capabilities advance rapidly, organizations like AE Studio represent a model for sustainable alignment work that balances immediate practical applications with longer-term safety research.