Job Description

At Meta Reality Labs, our goal is to explore, concept, and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on AR device that can provide contextually relevant assistance across a range of complex, dynamic, real-world tasks in natural environments.

To this end, we are looking for a research engineer who can accelerate the team's research engineering efforts.

  * Build and maintain data and machine learning pipelines, including the consumption and integration of data from a variety of sensors.

  * Design, build and test machine learning systems for real-time sensing and inference (e.g., real-time pose estimation, hand-object recognition, task recognition).

  * Collaborate with other researchers and engineers to advance research in machine learning methods and applications.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] .

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Skills and Requirements

Bachelor's in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.

  * 3+ years of experience with Python

  * Experience with at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules.

  * 3+ years of experience utilizing general software engineering skills, including debugging, version control, logging, documentation, code review, etc.

3+ years of experience building ML solutions for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products. * Master's or PhD degree in related field

  * Experience with hand, eye, and/or body tracking.

  * Experience with multimodal modeling, embeddings, and/or time-series modeling.

Experience designing data-collection protocols and recording datasets for machine-learning systems. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].