Junior Embedded Machine Learning Engineer

Logitech

Lausanne, Switzerland

The Role:

The Embedded Machine Learning Engineer will be responsible for creating and developing innovative AI components and advanced radio technologies, protocols, and standards. In this role, the candidate will join our Edge AI team, developing advanced algorithms and ML-based features to enhance user experiences and drive product innovation.

Your Contribution:

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.

In this role you will:

Innovate with AI: Develop cutting-edge AI algorithms and new features tailored for embedded systems.
Optimize for Embedded Systems: Compile and optimize machine learning models for microcontroller units (MCUs), ensuring high efficiency and performance.
Design Hardware-Aware Algorithms: Create algorithms that are mindful of hardware constraints and capabilities, maximizing the potential of our devices.
Develop Data Pipelines: Design and maintain robust data pipelines to support machine learning workflows.
Prototype Solutions: Develop software prototypes and solutions in line with Logitech's Embedded Software (ESW) guidelines.
Manage Large-Scale Tests: Conduct extensive functionality tests to enrich our database and validate our concepts.
Implement Production-Ready Code: Deliver production-ready code enhanced with machine learning capabilities, along with automated tests to ensure robustness.
Script Development and Campaign Management: Develop test setup scripts and oversee qualification campaigns.
Collaborate Cross-Functionally: Work closely with marketing, design, and engineering teams to ensure seamless integration and innovation.
Engage with External Partners: Collaborate with external partners, including academic institutions, to stay at the forefront of technological advancements.

Key Qualifications:

For consideration, you must bring the following minimum skills and behaviors to our team:

Strong knowledge in machine learning and data science.
Extensive skills in these programming languages: Python, C, C++.
Experience in Embedded Software Engineering.
Excellent communication and teamwork skills.
Self motivation, creative, self-direction and high attention to the details.
Eager to work on front end innovation, design thinking & fast prototyping.
Strong conceptual, fast pace, analytical and problem-solving skills.
Ability to pitch and communicate technical concepts to non-technical individuals.