Machine Learning Engineer

Build frontier-quality GenAI assets with the FAI team. In this onsite role in Boston, MA
, you will design, build, and maintain systems that support training and evaluation of GenAI models at large scale, collaborating closely with Applied Scientists to turn research into reliable tooling.

Compensation for this position is USD 143, per year
. You’ll join a team with a clear mission:
push the envelope in GenAI with LLMs to help deliver the best possible experience for customers.

• Develop and maintain core tooling for agentic pipeline workflows to produce frontier-level assets, including RL gyms
  .
• Partner with product teams and scientists to create new techniques and tooling for emerging research capabilities and model evaluation aligned to customer needs.
• Collaborate with Applied Scientists to investigate and plan experiments
  , prototype new technology, and assess technical feasibility.
• Operate in a fast-moving environment, delivering high-quality software against tight schedules.

• 3+ years of non-internship professional software development experience.
• 3+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling of new and existing systems.
• 3+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
  .
• 1+ years of Object Oriented Design experience.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or foreign equivalent).
• Experience programming with at least one software programming language.

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor’s degree in computer science or equivalent.

• C#
• C++
• Java
• Perl
• Object Oriented Design

• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance
• Option for Supplemental life plans
• EAP
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)