Research Engineer, Language - Wearables Agents AI
@ Meta

Redmond, WA
$208,000
On Site
Full Time
Posted 8 hours ago

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Job Details

Overview

The Research Engineer, Language - Wearables Agents AI at Meta Reality Labs is tasked with designing and building LLM systems for agentic AI applications. This role involves developing state-of-the-art machine learning models and algorithms, rigorous experimentation, and close collaboration across product, engineering, and UX teams.

Responsibilities

  • Develop machine learning models and novel algorithms for AI assistant capabilities.
  • Perform rigorous testing, ablation studies, and performance analysis.
  • Collaborate with product managers, engineers, and UX designers for production-ready features.
  • Monitor and iterate on deployed ML systems for reliability and enhancement.
  • Stay updated with research in deep learning, agentic AI, and LLMs.
  • Communicate technical findings through documentation and presentations.

Minimum Qualifications

  • Bachelor's in Computer Science, Engineering or related field.
  • Experience with deep learning, dialog systems, NLP, agents, or LLMs.
  • 5+ years in deploying ML models and systems at scale.
  • Demonstrated software engineering experience in production ML systems.

Preferred Qualifications

  • Advanced degree (MS or PhD) in a relevant field.
  • Experience with wearable or assistant AI technologies.
  • Strong communication and collaboration skills.

About Meta

Meta builds technologies to connect people and create immersive experiences. The company is known for its innovations from social media to next-generation AR/VR. Meta is an Equal Employment Opportunity employer committed to inclusive hiring practices and accommodations for candidates with disabilities.

Compensation

This role offers $70.67/hour to an annual salary of up to 208,000, plus bonus, equity, and benefits. Compensation is determined by skills, qualifications, experience, and location.

Key skills/competency

  • LLM
  • Agentic AI
  • Deep Learning
  • NLP
  • Machine Learning
  • Algorithm Design
  • Data Curation
  • Tool Implementation
  • Evaluation Metrics
  • Research & Development

How to Get Hired at Meta

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML research and production experience.
  • Showcase projects: Demonstrate LLM and agentic AI implementations.
  • Emphasize collaboration: Detail cross-functional teamwork with clear examples.
  • Prepare for tech interviews: Review deep learning and algorithm design questions.

📝 Interview Preparation Advice

Technical Preparation

Review LLM and deep learning frameworks.
Practice coding ML algorithms from scratch.
Familiarize with production ML system deployments.
Study quantitative metrics and performance evaluation.

Behavioral Questions

Describe a challenging project collaboration.
Explain how you handle tight deadlines.
Discuss adapting to new technical trends.
Share a time you resolved team conflicts.

Frequently Asked Questions