Machine Learning Engineer

Brainchip - Laguna Hills, CA

Full-time - Mid Level

Laguna Hills, CA

Publishing Industries

About the position

Come join the company leading the technological revolution in artificial intelligence. BrainChip is a global technology company producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products. We are the world's first commercial producer of ultra-low-power and high-performance artificial intelligence technology processors that enables a wide array of applications such as self-driving cars, hearing aids, drones, and agricultural equipment. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry-standard digital process. Our company was recognized as one of the “Startups Worth Watching in 2021” in EE Times' annual Silicon 100 list of global semiconductor technologies and our founder was named the winner of the AI Hardware 2021 Innovator Award. We have offices in Laguna Hills, California; Toulouse, France; Hyderabad, India; and Perth, Australia. We are also publicly traded on the Australian Stock Exchange (BRN:ASX) and the OTC Market (BRCHF).

Responsibilities

• Implementing and optimizing ML algorithms for deployment on embedded systems.
• Working closely with the research team to translate ML models from theory to practice.
• Developing and maintaining efficient code in Python, C, and C++ for real-time systems.
• Staying current with advancements in ML, embedded AI, and related technologies.
• Collaborating on ML algorithm/hardware co-design tasks to enhance system performance.
• Debugging and Benchmarking software to ensure optimal performance on the Akida hardware.
• Interfacing with customers to understand their needs and provide technical support for ML applications.
• Contributing to the development of the Akida software stack and toolchain.

Requirements

• Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a Master's Degree with 3+ years of experience.
• Strong background in machine learning and embedded AI.
• Proficiency in Python, C, and C++.
• Experience with real-time operating systems (RTOS).
• Understanding of computer architecture principles.

Nice-to-haves

• Experience in developing ML applications for embedded systems.
• Multi-project experience in State Space Models (SSM), denoising, computer vision, audio processing, and sensor fusion.
• Experience with ML frameworks such as TensorFlow, Keras, and PyTorch.
• Familiarity with Docker and Git.
• Knowledge of Scrum/Agile software development methodologies (e.g., Jira).
• Evidence of creativity and innovation in previous projects.