Research Scientist Intern, Audio, Speech

il y a 3 semaines


Paris, France Meta Temps plein

Reality Labs (formerly Facebook Reality Labs) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). Enabling compelling user experiences on Virtual and Augmented Reality devices requires innovation and co-design across all layers of stack from novel algorithms to custom silicon. The Meta AR/VR team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others.

**Research Scientist Intern, Audio, Speech & Natural Language in On-Device AI(PhD) Responsibilities**:

- Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution
- Collaborate with other team to develop innovative deep learning techniques for vision, speech, user interface and other use-cases
- Collaborate with software and hardware engineers to develop tradeoff curves for accuracy vs the runtime resources/constraints such as latency, energy
- Communicate the research results and the recommendations clearly, both within the group as well as to the cross-functional groups
- Publish research results in top-tier journals and at leading international conferences

**Minimum Qualifications**:

- Is in the process of obtaining a PhD in the field of computer vision, speech recognition, machine learning or a related field
- Proven track record in using machine learning for solving audio, speech and natural language processing problems
- Experience in Object Oriented programming
- Experience with prototyping algorithms in Python or other scripting languages
- Interpersonal experience: cross-group and cross-culture collaboration
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

**Preferred Qualifications**:

- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences or journals
- Experience designing and developing audio, speech and natural language processing or machine learning algorithms.
- Experience with multimodal fusion or deep learning with different modality sensor data
- Experience with development on embedded devices and low power consuming chips
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)


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