Research scientist

Summary:

We are the Instagram Recommendation Core ML organization, dedicated to delivering personalized recommendation that maximize both user utility and creator value. We own and optimize the AI brain for the world's most popular app, Instagram, through SoTA AI and machine learning research with a goal to deliver significant top-line impact for Instagram's topline metrics. We focus on advancing AI and ML technologies for all aspects of Recommendation, including ranking, model architecture, feature representation, optimization, and long term value. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and optimize experience of billions of users. With our growing impact, we're seeking motivated AI Research Scientists to join our team and drive SOTA research.

Required Skills:

Research Scientist, Instagram AI Responsibilities:

Research and develop large-scale model architectures, leveraging SoTA model scaling techniques

Research and develop next generation sequence learning and graph learning techniques to drive advancements in recommendation

Research and develop Reinforcement Learning techniques, to optimize users' long-term value

Prioritize SoTA techniques of training scalability, signal scaling, knowledge distillation, transfer learning, and AutoML to optimize model performance, efficiency, and reliability

Research and develop innovative solutions for features and data related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Collaborate with cross-functional teams to design and optimize E2E ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains

Minimum Qualifications:

Minimum Qualifications:

Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas

Programming experience in Python and hands-on experience with frameworks such as PyTorch

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)

Experience taking ideas from research to production

Experience working and communicating cross functionally in a team environment

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Public Compensation:

$147,000/year to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 [email protected].