Build and implement on-device machine learning solutions designed to encourage positive health behavior change. Our team engineers practical, user-focused ML capabilities for health applications and future wellness features, focusing on robust implementation and performance within device constraints. As a Machine Learning Engineer, you will drive the engineering lifecycle for these on-device ML features: designing efficient algorithms, implementing them in production code (Swift/Objective-C), integrating models, optimizing for performance, and ensuring robust testing.

DESCRIPTION

Join our team engineering machine learning solutions to promote health behavior change directly on user devices. We focus on building, optimizing, and deploying ML features that offer personalized support, requiring a blend of ML understanding and strong software engineering practices to deliver reliable, efficient, and impactful experiences. You will tackle the engineering challenges of implementing on-device ML. This involves developing ML solutions with high-quality, performant code, integrating algorithms into larger application frameworks, optimizing for latency and power consumption, and establishing rigorous testing procedures. You’ll be responsible for the quality and performance of the ML components you build and deploy. Key Responsibilities: • Design, implement, and optimize machine learning algorithms and models specifically for on-device execution. • Drive the end-to-end development process: from formulating hypotheses and collecting relevant data, through prototyping and on-device integration, to comprehensive testing and quality assurance. • Integrate, adapt, and optimize machine learning models for efficient on-device inference within health applications. • Analyze results, iterate on solutions, and ensure the robustness and real-world impact of the algorithms deployed. • Collaborate closely and effectively in a multi-functional environment with software engineers, designers, domain experts, and other ML teams. Apply if you are an engineer passionate about building impactful health features using ML, possess strong on-device coding skills (Swift/Objective-C), and excel in a collaborative, execution-driven setting. This is a site-based role.

MINIMUM QUALIFICATIONS

• MSc in Computer Science, or related technical field.
• A minimum of 8 years of relevant industry experience.
• Experience with at least one of Python, Swift or Objective-C.
• Understanding of machine learning principles and common algorithms.
• Proven ability to implement and test algorithms or sophisticated software components.
• Demonstrated experience with the scientific method: formulating hypotheses, crafting experiments, collecting data, and performing rigorous analysis.

PREFERRED QUALIFICATIONS

• A minimum of 10 years of relevant industry experience.
• Proven experience implementing, optimizing, and shipping machine learning models on resource-constrained environments (mobile, embedded).
• Deep proficiency with Swift, Objective-C and/or C++ and iOS development frameworks.
• Strong ability to work collaboratively and communicate effectively within a diverse, fast-paced team environment.

Please refer the Job description for details