Requirements:

Bachelor's degree in Electrical Engineering, Computer Science, with an emphasis on ML/AI, a relevant technical field, or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Nice to haves:

Experience as a technical lead for a small team (e.g., 3-6 people).
Experience with agentic systems, ML domains such as reinforcement learning, image analysis or advanced statistics.
Familiarity with Android or mobile software development concepts.
Understanding of the software development life-cycle and best practices.
Understanding of machine learning fundamentals with a passion for coaching and mentoring team members.
Ability in establishing and tracking meaningful metrics for ML system performance and reliability.

Design, develop, deploy, and maintain scalable machine learning systems for our device automation and app analysis platforms, with a focus on generative and agentic AI.
Enhance and refine our AI-powered agents to improve their understanding and execution capabilities across various form factors.
Define, establish, and track Key Performance Indicators (KPIs) and metrics to rigorously evaluate and iterate on the performance, quality, and reliability of our ML systems.
Collaborate closely with other engineers in a fast-paced environment.
Provide technical leadership, and mentor team members on machine learning best practices, fostering their growth and development.

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