AI Research Engineer

Meta; Redmond; On-site; AUD 270,000 - 377,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta is 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 role spans bold GenAI bets including post-training, evaluation, and serving systems for frontier LLMs, and building a general‑purpose agentic platform for Meta’s GenAI products.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• Experience as formal technical lead with cross-functional impact.
• Impressive engineering background (PhD not required).
• Experience working in AI/ML environments.
• Can manage data pipelines and versioning.

Responsibilities

• Contribute to training of multimodal foundation models for product use-cases.
• Support data sourcing and curation for multimodal LLMs.
• Lead research pushing state‑of‑the‑art in multimodal reasoning and generation.

Skills

Bachelor's degree in CS/Engineering

Technical leadership

AI/ML experience

Data pipelines

Versioning

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant field

Job description

Summary:

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.

Depending on your interests and strengths, your work could span post‑training pipelines (SFT, RLHF, synthetic data generation), evaluation methodology (auto‑judge design, benchmark construction, human‑AI calibration), production serving systems (RAG, memory, multi‑modal generation), multi‑agent orchestration, or E2E experience of building agentic products, all grounded in shipping to real users at scale.

Required Skills

AI Research Engineer Responsibilities:

1. Contribute to the training of next‑generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use‑cases

2. Support creative data sourcing, high‑quality pre/mid/post‑training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)

3. Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development

Minimum Qualifications

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams

3. Impressive engineering background (PhD in ML not required)

4. Experience working in AI/ML environments

5. Can manage data pipelines and versioning

Public Compensation

$183,997/year to $257,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affinit employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].