Software Engineer, On-Device Machine Learning

Job summary

MINIMUM QUALIFICATIONS: - Bachelor’s degree or equivalent practical experience. - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. - 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Benefits

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with runtimes and performance tuning.
• Experience in mobile development.
• PREFERRED
• Master's degree or PhD in Computer Science or related technical fields.
• Experience in leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).
• Experience in ML frameworks (e.g., PyTorch, JAX, TensorFlow).
• Experience with on-device ML SDKs/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
• Strong understanding of Generative AI model architectures and their optimization for on-device execution.
• Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.

Responsibilities

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available

Skills

Degrees

Industry

Company size

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