RL Software Engineer, Machine Learning

Meta black iconMeta Quest
RL Software Engineer, Machine Learning
Meta black iconMeta Quest
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Redmond, WA
Come invent the future. At Meta Reality Labs, software development is vital to turbocharging our scientific explorations and generating viable paths to the consumer products people will use for decades to come — products that will literally give people super powers. If you're an engineer with a love for solving novel problems from first principles, an innate ability to educate others, and an aptitude for integrating new hardware systems together, you'll thrive in our collaborative environment. Join a world-class team of pioneers experimenting with breakthrough technology. Partner with expert research scientists, mechanical engineers, electrical engineers and other brilliant software minds to build cutting-edge prototypes and create the technology that makes AR/VR universal. Step into the adventure of a lifetime, as we make science fiction real and change the world.
RL Software Engineer, Machine Learning Responsibilities
  • Build Machine learning infrastructure, platforms, models, data collection pipelines, and tools that enable research scientists to be more effective and efficient
  • Analyze, evaluate, design, develop, integrate, debug and test real-time AR and VR software for advanced prototypes and user experiences
  • Educate researchers and other team members on software engineering best practices, tips and techniques
  • Perform code reviews that improve software engineering quality
  • Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions
  • Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency
  • Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • BS degree in Computer Science, Math, Physics or related field.
  • 3+ years C/C++ experience.
  • Familiar with deep learning frameworks such as PyTorch or TensorFlow.
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas and NumPy.
  • Experience shipping machine learning models or systems to production.
  • Experience or familiarity with Machine Learning and related software concepts.
Preferred Qualifications
  • Experience with Computer Vision, Audio Processing, Multimodal deep learning
  • Experience with real-time signal processing
  • Experience developing AR/VR applications
  • Experience with gestural or wearable computing interfaces
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.