JOB TITLE: Machine Learning Engineer LOCATION: Onsite in Fremont, CA preferred, open to Austin, TX DURATION: 6 months contract to hire RATE RANGE: Market Rate POSITION SUMMARY: Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments.
RESPONSIBILITIES: - Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc.
- Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations.
- Take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur.
- Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data.
QUALIFICATIONS: - In-depth knowledge of Python for high-performance data-intensive applications.
- Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
- Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research.
- Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance.
- Real-world experience deploying and maintaining production machine learning use-cases.
- Passion for clean code and sustainable modular code for taking research ideas into production.
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