Research Scientist Manager - AI

Meta; New York (NY); On-site; USD 177,000 - 251,000; Full time

Job summary

An innovative company is seeking a Research Scientist Manager to lead cutting-edge AI initiatives focused on generative models for ad optimization. This role involves driving efficiency in model training and deployment, collaborating with cross-functional teams, and leading a talented group of researchers. With a commitment to advancing technology beyond traditional screens, this position offers a unique opportunity to shape the future of AI in monetization. Join a team dedicated to leveraging AI for significant revenue growth and be part of a transformative journey in social technology.

Benefits

Equity

Comprehensive Benefits

Flexible Work Hours

Professional Development Opportunities

Qualifications

• 5+ years in computer vision/NLP with significant impacts.
• Proven track record in leading research teams.

Responsibilities

• Drive development of generative models for ads optimization.
• Lead a team of researchers and engineers to enhance revenue.

Skills

Computer Vision

Natural Language Processing (NLP)

Generative AI

Model Efficiency Techniques

Cross-Functional Collaboration

Education

PhD in AI or related field

Tools

PyTorch

Large-scale Data Platforms

Job description

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This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$177,000.00/yr - $251,000.00/yr

The Monetization Ranking AI Research at Meta is seeking a technical leader to join our team and work on the next generation of RecSys for ads recommendation. AI for monetization is a top priority for the company because of its potential to drive significant revenue growth through improving ads performance. Our team is taking the lead in this space with a vision to enable fully automated and data-driven ad optimization through efficient LLM.

Research Scientist Manager - AI Responsibilities:

• Drive efficiency gains on training, fine tuning, and deployment of diffusion based image/video generative models through novel techniques
• Drive end-to-end development of diffusion based image/video generative models, including data sourcing and curating, filtering, experiment design, evaluation and more
• Lead a team of applied researchers and software engineers to drive revenue for Meta
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
• Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions
• Remain involved in the research community, both understanding trends, and setting them

Minimum Qualifications:

• 5+ years of hands-on experience in computer vision and/or NLP, in the setting of both research and engineering development
• Experience and track of recording in landing large research and/or product impacts in a fast-paced environment
• 3+ years of hands-on supporting and leading teams of research scientists and software engineers
• Proven technical vision in the field of generative AI
• Experience and knowledge of model efficiency techniques (quantization, distillation, etc.)
• Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions
• Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management

Preferred Qualifications:

• PhD in speech/language/vision deep learning, artificial intelligence, and/or related technical field
• Experience and knowledge of ML frameworks like PyTorch.
• Experience and knowledge of large-scale data platforms
• Experience and knowledge of training diffusion based image/video/speech generative models, fine-tuning on datasets.

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 [e-mail].

$177,000/year to $251,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, excluding bonus, equity, or incentives. Meta offers benefits. Learn more about benefits at Meta.