About the Role:

As a Machine Learning Engineer, you will use the latest advances in deep learning, NLP to empower the immersive Spatial voice chat communication in experiences on Roblox

Our products include backend services working at high scale, data pipelines, ML models, and tools to ensure safe and civil experience (voice chat, 3D audio, and large-scale broadcast), to our 150M+ monthly users. Safety is Roblox's #1 priority and your mission is to expand voice chat to users around the globe to freely express themselves while keeping the community safe

If you enjoy working on the latest software while ensuring safety of the amazing products being built for the passionate community of Roblox, you'll be right at home within our Communication Safety team. You will be reporting to the Engineering Manager on the Communication Safety team. #LI-Onsite

You Will:

• Build systems from ground-up, to detect and address complex degrees of Abuse possible with end-user communication systems supporting millions of users on Roblox. This may involve building backend services working at high scale, ML models, or tools to support our operation teams.
• Shape how the next generation of internet users interacts safely in the metaverse.
• Define platform features to support product teams across the company in ensuring safety in every aspect of real-time communication at Roblox.
• Collaborate with product and design to push the boundary of what is possible.
• Use best programming practices, optimizing code to be performant.
• Help recruit future talent for the team.

You Have:

• A bachelor's degree in a related field with an emphasis on computer vision, NLP, graphics or machine learning.
• 4+ years of experience researching, experimenting on model design and putting them into practice in Industry.
• Experience building available and large-scale distributed fault tolerant services.
• Publications in top-tier conferences (CVPR, ICCV, ICML, NIPS, SIGGRAPH) or equivalent contribution to industry or open-source projects.

You Are:

• Experienced: build ASR systems or NLP with Audio input.
• Proficient in Python and at least one deep learning library (TensorFlow, PyTorch, MXNet).
• Familiarity with latest deep learning models including RNN-T, CTC, LSTM.
• Solid: with software design skills and the ability to write efficient, readable and reusable code.
• Responsible: you build systems that work and keep on working reliably. You are precise in your designs, rigorous in handling potential failure cases, and in automated testing.
• Curious: you are keen to learn, and stay up-to-date on technology developments.
• Analytical: Excited to investigate large, ambiguous problems, and measure the problems and the solutions.
• Creative: You take a creative and strategic approach to solving hard problems and driving new tools/functionality for our end users and experience developers.
• Team-oriented: You can work well as part of a team and know how to collaborate with all participants to develop the best solutions. Write clear design specs, mentor junior engineers, and guide projects from beginning to end.