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Research Analyst II
Ref No.: 20-02435
Location: Redmond, Washington
Tailored Management is seeking a candidate to join the world's largest social media network who enables over a billion users to openly connect with friends and family, share content, and explore the world. You'll have the opportunity to work with great people, tackle big challenges, and make a real impact – while being your unique, authentic, self at work!

Research Analyst II
Redmond, WA
Health Benefits + PTO


Duties:

At Reality Labs, our goal is to explore, innovate and design Client 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 reinforcement learning (RL) and/or optimal control research analyst who can accelerate the team's research.

The role will include implementing baseline published reinforcement learning, inverse reinforcement learning, deep and cooperative reinforcement learning algorithms; collaboration and experimentation on Client algorithms and models with researchers; collaboration with engineers to deploy models in AR/VR prototypes; and other related work.

Skills:
Minimum
  • Minimum of 2 years' experience in scientific Python (e.g., numpy, scipy, pandas).
  • Experience with reinforcement-learning toolkits such as Gym and/or at least one deep learning toolkit (e.g., PyTorch or TensorFlow).
  • Experience in implementing RL/stats/Client methods from research papers.
Preferred
  • Background in reinforcement learning, optimal control, dynamic programming, embodied AI, active/online learning, Markov decision processes, human-machine collaboration, or related fields.
  • Familiarity with multi-agent systems, meta-learning, and online learning methods.
  • Familiarity with 3D simulation engines such as Unity.
Education:
  • Required: BS in computer science, applied math/control, robotics, or a related field.
  • Preferred: MS in computer science, applied math/control, robotics, or a related field.