Job Information
Meta AI Research Scientist - Multimodal Machine Learning in Redmond, Washington
Summary:
At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on augmented reality device that can enable high-quality contextually relevant interactions across a range of complex, dynamic, real-world tasks in natural environments; to achieve this goal, our team draws on and fundamentally advances methods and knowledge from artificial intelligence, multimodal machine learning, computer vision, and signal processing. We are looking for a skilled and motivated researcher with expertise in multimodal machine learning and large scale multimodal representation learning. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.
Required Skills:
AI Research Scientist - Multimodal Machine Learning Responsibilities:
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work collaboratively with other research scientists to develop novel solutions and models in service of contextualized AI for augmented reality.
Working on curation of large datasets across many modalities (e.g., vision, audio, IMU, sEMG).
Leading experimental design, implementation, evaluation, and reporting results to enable new capabilities for multimodal LLMs.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Minimum Qualifications:
Minimum Qualifications:
PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field
Publication record in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
6+ years of experience in one or more of the following areas: Deep Learning, NLP, Multimodal, Computer Vision, Speech
6+ years of experience developing end-to-end ML pipelines with a focus on dataset preprocessing, model development and evaluation, software integration, and real-time deployment
Experience writing software (Python and C/C++) and executing complex machine learning experiments
Research experience in one or more of these areas: NLP, computer vision, Multimodal, Speech
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Preferred Qualifications:
Publication record in AI conferences like NeurIPS, EMNLP, ACL, ICCV, CVPR, ICML, NAACL, ICLR, Interspeech, ICASSP.
Programming experience in Python and hands-on experience with frameworks such as PyTorch.
Experience with developing machine learning models at scale from inception to deployment.
Public Compensation:
$177,000/year to $251,000/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 accommodations-ext@fb.com.