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Senior Machine Learning Platform Engineer

FieldAIIrvine, CA
On-site Full-time

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Experience Level

Senior

Qualifications

Ideal candidates will possess a strong foundation in machine learning, experience with large-scale data processing, and familiarity with model deployment and security protocols. Proficiency in programming languages such as Python and expertise in frameworks like TensorFlow or PyTorch are essential. A background in systems engineering and hands-on experience with cloud platforms will be beneficial.

About the job

FieldAI is at the forefront of reimagining how robots engage with the world around them. Our Irvine team specializes in developing cutting-edge, risk-aware AI systems tailored for real-world applications. Nestled in the vibrant robotics hub of Southern California, we tackle complex challenges in robotics, unleashing the full power of embodied intelligence. If you're eager to see your innovations take flight in real hardware and enhance their capabilities through practical deployments, then our Irvine location is the ideal environment for you. We prioritize a comprehensive engineering approach that transcends traditional data-driven methods, integrating proven learning systems to yield globally deployed solutions that continuously evolve with each interaction in the field.

About the Job

As a part of our Insight Team, you will lead the development of the Field-insight Foundation Model (FiFM), which empowers a global fleet of autonomous robots to gather extensive multimodal data from diverse environments daily. Your role as a Senior Machine Learning Platform Engineer will encompass ownership of the infrastructure that supports FiFM, overseeing everything from model hosting and distributed training pipelines to data systems and observability. This position uniquely blends systems engineering with machine learning, where you will design and manage large-scale ML platforms to facilitate our mission of deriving actionable insights from complex data.

About FieldAI

FieldAI is revolutionizing the interaction between robotics and the physical world with innovative AI technologies. Our commitment to developing reliable, field-ready AI systems allows us to address the most intricate challenges in robotics, ensuring our solutions not only perform effectively but also improve continuously through real-world applications.

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