Role OverviewAs a Neuronetwork System Engineer at TetraMem, you will develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. You will work closely with hardware and software teams to integrate ML models into production systems and research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption.
What You Will Do
Your main day-to-day responsibilities will include developing and optimizing ML models, implementing and optimizing ML models on embedded platforms, working with cross-functional teams to drive innovation, and providing technical leadership and mentorship to junior engineers.
Why It Might Be a Fit
This role might be a fit for you if you are passionate about cutting-edge technology, thrive in a fast-paced, collaborative environment, and are ready for new challenges and opportunities. You will have the chance to shape the future of AI computations and sustainable technology solutions while working at the forefront of innovation.
Requirements
- 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields
- Strong experience in machine learning, with a focus on edge AI and lightweight model deployment
- Expertise in ML frameworks such as PyTorch, TensorFlow, JAX
- Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization
- Ability to work independently and collaboratively in a fast-paced startup environment
- Ability to provide mentorship, technical guidance, and career development support to junior engineers and interns
Benefits
- Salary Range: $110,000 - $250,000 / year
- TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees
- TetraMem is proud to be an Equal Opportunity Employer and welcomes applicants from all backgrounds
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