Machine Learning Algorithm Engineer

• Prototype and define features end-to-end, in collaboration with HW, SW, and design partners
• Design data collections and synthetic data generation for model development and evaluation
• Define key performance indicators to evaluate UX impact of model performance
• Develop realtime, resource constrained models that power user input and intelligence features
• Collaborate with cross-functional teams to root cause issues throughout the feature stack
• Communicate user impacts of technical challenges to cross-functional stakeholders
• 2+ years of experience building ML models, including data preparation, architecture selection, training and evaluation (ex. PyTorch or TensorFlow)
• Proficiency in Python for data analysis and model development
• Experience developing realtime, resource constrained models using efficient architectures (ex. CNNs) and compression techniques (ex. distillation and quantization)
• Experience using genAI tools for SW development (Claude Code, Cursor, Codex, etc.)
• Able to communicate clearly and collaborate with cross-functional teams
• Excellent problem solving and root cause analysis skills
• BS in Computer Science (CS), Electrical Engineering (EE) or a related field / equivalent experience
• Experience developing input or interaction technologies
• Experience building distributed data processing pipelines
• Comfortable with signal processing fundamentals
• Comfortable implementing realtime algorithms in C++
• Experience developing software with agentic workflows
• MS/PhD in Computer Science (CS), Electrical Engineering (EE) or a related field / equivalent experience

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