AI Research Scientist, Multimodal Machine Learning
at OCULUS
Redmond, Washington, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 07 Aug, 2024 | USD 208000 Annual | 08 May, 2024 | 3 year(s) or above | Computer Engineering,Software Integration,Statistics,Python,Computer Vision,Computer Science,Speech,Model Development,Nlp,Mathematics,Data Science,Machine Learning,Deep Learning | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
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.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 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
- 3+ years of experience in one or more of the following areas: Deep Learning, NLP, Multimodal, Computer Vision, Speech
- 3+ 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
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.
Responsibilities:
- Define, collaborate, and execute on research that pushes forward the state of the art in multimodal context/content understanding.
- 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, eye gaze, IMU, sEMG).
- Leading experimental design, implementation, evaluation, and reporting results to enable new capabilities for multimodal machine learning models.
- Play a significant role in healthy cross-functional collaboration.
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Computer science computer engineering relevant technical field or equivalent practical experience
Proficient
1
Redmond, WA, USA