Research Engineer, Language

• Wearables Polyglot AI Meta
• 4.0 Burlingame, CA Job Details $154,003
• $217,000 a year 21 hours ago Qualifications AI models Testing and evaluation Production systems Machine intelligence Model deployment Developing large-scale AI models Developing data pipelines Machine learning (ML) fundamentals Model evaluation Full Job Description Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms.

We are a team of experts developing and shipping products at the intersection of hardware, software and content.

We are seeking a Research Engineer to join our Polyglot AI team within Reality Labs. This role will focus on developing and deploying Voice LLMs that power speech recognition, translation, and synthesis capabilities. You will work on both server-side and on-device deployments, maintain high-quality datasets, and build evaluation frameworks to drive rapid product improvements. Research Engineer, Language

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Wearables Polyglot AI Responsibilities:

Research and develop state-of-the-art Voice LLM models for speech recognition, translation, and synthesis Deploy Voice LLM systems to production environments, including both server-side infrastructure and on-device implementations Build and maintain high-quality datasets for training and evaluating Voice LLM systems Design and implement evaluation frameworks and metrics to measure model performance and drive improvements Conduct rigorous experimentation and ablation studies to optimize model quality, latency, and efficiency across deployment targets Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver production-ready features Stay at the forefront of research in speech processing, Voice LLMs, and multilingual AI, bringing new methodologies into the team's development pipeline

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years experience developing and deploying machine learning models for speech or language applications Experience with Voice LLMs or speech processing systems (speech recognition, translation, or synthesis) Demonstrated experience in deploying ML models to production Track record of building and maintaining datasets and evaluation pipelines for ML systems

Preferred Qualifications:

Proven ability to communicate complex technical concepts and collaborate with cross-functional teams Experience with multilingual speech or language models Experience deploying audio models to server-side and/or on-device/edge environments Experience with evaluation frameworks and metrics for speech/language systems Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, Speech Processing, or a related technical field

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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 . $154,003/year to $217,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.