Machine Learning Engineer

As a Machine Learning Engineer on the FAI team, you will help design, build, and maintain systems that produce frontier-quality assets for training and evaluating GenAI models. You will partner closely with Applied Scientists to develop tooling and support modeling and evaluation for large-scale LLM initiatives.

Responsibilities

• Develop and maintain key tooling for building agentic pipelines that generate frontier-level assets, including RL gyms.
• Collaborate with product teams and scientists to create new techniques and tooling tied to emerging research capabilities, with a focus on model evaluation aligned to customer needs.
• Work closely with Applied Scientists to investigate and plan experiments, prototype new technology, and assess technical feasibility.
• Operate effectively in a fast-moving environment to deliver high-quality software under tight schedules.

Requirements

• 3+ years of non-internship professional software development experience.
• 3+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
• 3+ years of experience 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 (or foreign equivalent) in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

Technologies

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

About the Team

The FAI team is focused on pushing the boundaries of GenAI with LLMs to provide customers with the best-possible experience.

Preferred Qualifications

• 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).

Compensation and Location

• Location: Boston, MA (onsite)
• Compensation: USD 143,700 - 194,400 per year
• Minimum experience: 3 years

Benefits

• 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)