Essential Qualification: • Python • Pytorch or similar AI/ML Engines • Distributed Infrastructure Preferred Qualification: • Working with complex, real-world multimodal data • Audio Background • AR/VR Request Highlights: Story behind the Need: • Looking for an ML Systems engineer. Focus on infra and ML framework / tooling • A typical day in this role involves being a team player, fostering collaboration with colleagues to achieve common goals. You proactively help others, sharing knowledge and expertise to overcome challenges, whilst owning and contributing directly to technical solutions yourself. You also actively participate in team tech meetings, contributing ideas and insights to drive innovation and improvement. • While work is collaborative in nature, we’re looking for motivated individuals who can not only complete tasks independently but raise concerns proactively and provide input into overall team goals. Candidate Value Proposition: • Ability to work closely with world class researchers in the audio space. • Influence on the next generation of our AR/VR devices. Interview Process: 2 Rounds • Round I: Initial Screen [30 Mins] – Situational/Behavioral Questions; General high-level coding questions • Round II: Technical Coding [45-60 Minutes] – Live technical coding questions will be asked. Code is written via CoderPad, a collaborative text editor Additional Notes (if any): • Onsite Role in Redmond, WA. Work will be predominantly onsite, though occasional WFH days are fine. • We are a distributed team who works closely with UK teammates, so the candidate must be comfortable meeting morning hour collaboration times (8am – 10am)