Research Engineer, Science of Scaling

Job summary

About Ant*** Ant***’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Benefits

Qualifications

• for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas!
• However, we aren't able to successfully sponsor visas for every role and every candidate.
• But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
• We encourage you to apply even if you do not believe you meet every single qualification.
• Not all strong candidates will meet every single qualification as listed.
• We think AI systems like the ones we're building have enormous social and ethical implications.
• We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
• Your safety matters to us.
• To protect yourself from potential scams, remember that Ant*** recruiters only contact you from @Ant***.com email addresses.

Responsibilities

• Ant*** is seeking a Research Engineer/Scientist to join the Science of Scaling team, responsible for developing the next generation of large language models.
• In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
• You'll contribute across the entire stack, from low-level optimizations to high-level algorithm and experimental design, balancing research goals with practical engineering constraints.
• Conduct research intro the science of converting compute into intelligence
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyze scientific experiments to advance our understanding of large language models
• Optimize training infrastructure to improve efficiency and reliability
• Develop dev tooling to enhance team productivity
• You May Be a Good Fit If You
• Have significant software engineering experience and a proven track record of building complex systems
• Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Are proficient in Python and experienced with deep learning frameworks

Skills

Degrees

Industry

Company size