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
HR@insightglobal.com.
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https://insightglobal.com/workforce-privacy-policy/ .
* 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.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.