AI Research Engineer

Meta; Bellevue, Northern (WA, KY); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Meta is hiring Research Engineers to join teams at the intersection of frontier AI and real-world product impact. You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.

You’ll work on open research questions with immediate product consequences, owning the loop from data to production behavior.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience as a formal technical lead or influencing strategy across multiple teams.
• Impressive engineering background; PhD not required.

Responsibilities

• Build post-training evaluation, serving systems for frontier LLMs.
• Develop agentic platform to power GenAI products across Meta.
• Scale systems across Meta’s products with cost and capacity optimizations.

Skills

GenAI

ML environments

Open-ended evaluation

Data pipelines

Education

Bachelor's degree in Computer Science, Computer Engineering, or related field

Tools

Versioning

Data pipelines

Job description

We’re hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.

The work spans some of the most bold bets in applied GenAI, including:

• Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions.
• Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook - enabling teams to ship faster, safer, and at scale.
• Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques.
• Adapting and scaling these systems across Meta’s products.

Why Join Us

• Product LLM work at singular scale

  Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions.

• End-to-end ownership

  We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters.

• The problems are unsolved

  How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences.

• Our team is hands-on, with high autonomy, working on critical bets

  We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution.

or E2E experience of building agentic products, - all grounded in shipping to real users at scale

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams Impressive engineering background (PhD in ML not required) Experience working in AI/ML environments Can manage data pipelines and versioning