Research Scientist

We are an ML team at Meta Superintelligence Labs building the foundational technology to fuel the future of immersive real-time AI characters and LLMs, as well as prototyping and launching various 0->1 experiences across MSL flagship products and Family of Apps. This is an exciting time to join and build things from the ground up and chart new frontiers in the GenAI space.
Research Scientist Responsibilities:

• The role will conduct research in the voice modeling domain (ASR, TTS, voice cloning) and unblock more support to top priorities such as Creation tooling and ML platform, post-training for memory and personalization, and eval platform for emerging experiences
• We are looking for those who have experience working on a range of relevant ML areas or ML infra, e.g., LLM, NLP, multimodal (voice, vision), recommendation, ranking, optimization, conversational AI, ML efficiency, evals, etc

Minimum Qualifications:

• - Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Experience building maintainable and testable code bases, including API design and unit testing techniques
• 6+ years of programming experience in a relevant language or 3+ years of experience + PhD

Preferred Qualifications:

• - Exposure to architectural patterns of large scale software applications

• Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
• Experience building and shipping high quality work and achieving high reliability
• Knowledge developing and debugging in C/C++ and Java
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
• Experience with developing machine learning models at scale from inception to business impact

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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 accommodations-ext@meta.com.
$74.04/hour to $217,000/year + 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.