Machine Learning Engineer
NR ConsultingFremont, CAjob_description.job_card.30_days_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionyears 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. Understanding of ML compiler and runtime design. Experience working with tools such as Optimum, ONNX, TensorRT, TFLite / LiteRT, ncnn, or CoreML. Familiarity with hardware acceleration techniques. Experience in embedded system development.
Responsibilities :
- Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
- Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
- Work closely with hardware and software teams to integrate ML models into production systems.
- Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
- Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
- Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
- Provide technical leadership and mentorship to junior engineers.
- Publish research findings, present at conferences, and contribute to open-source projects when applicable.
Requirements :
Experience in one or more of the following areas considered a strong plus :
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Machine Learning Engineer • Fremont, CA