About the Role

As a Machine Learning Engineer, you will be responsible for scaling training across nodes/GPUs, implementing model-efficiency techniques, building and maintaining model-serving systems, and integrating with data pipelines. You will also define and track performance and cost KPIs, and collaborate with ML Ops and scientists for continuous improvement and reproducible evaluations.

About You

Required:

Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
3-5 years of experience in ML/AI engineering roles with a focus on training and serving in production.

Preferred:

Master's degree or equivalent industry experience.
Experience with deep learning frameworks such as PyTorch and TensorFlow.

Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines. With a combined experience of 20+ years, we understand the intricacies of finding the perfect role as well as the right talent for your team. But what sets Enigma apart? Our consultative approach. We don't just match candidates with job openings; we guide candidates, founders, and hiring managers through the recruitment process. Our value-added services go beyond traditional recruitment efforts, offering services such as recruitment process structuring, salary benchmarking, share allocation, CV reviews and so much more. We're more than recruiters – we're partners in your success journey. Our mission is not only to connect you with exceptional talent and companies but also to support your growth and success every step of the way. We're committed to your success. Let us partner with you to connect you with people and companies alike, that will drive growth and innovation for years to come.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

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About the Role

About You