Machine Learning Engineer
Burlingame, CA
USC/GC/H4-EAD/GC-EAD
Must have- Edge Devices & PANDAS, Numpy, PyTorch is must.
Job Description:
- We are looking for a Machine Learning Engineer with background of embedded domain.
- As part of the organization, you will be responsible to build high performing health devices and systems.
- Gather data from various sources, clean, and prepare for analysis
- Create and redefine ML algorithms to solve problems.
- Train ML models to use prepared data, conduct experiments, record findings, and evaluate model performance.
- Conduct testing of ML models in various scenarios to perform in different environments.
- Monitor the performance of deployed models, issues, and necessary adjustments to improve efficiency.
- Work closely with XFN partners including data, software & hardware engineers, project managers and other internal and external stakeholders.
Qualifications:
- Experience with end-to-end solutions, solving ambiguous problems.
- Overall experience of 5+ years.
- Fluency in programming with Python; experience with PANDAS, Numpy, PyTorch.
- Bachelor’s degree in computer science, similar technical field, or equivalent practical experience.
- Embedded background.
Preferred Skills:
- Experience with health tech, consumer products.
- Experience working with hardware acceleration (e.g., GPU, DSP, ML accelerator, CPU kernel library).
- Prior experience developing models for low-resource edge devices (Wearables, Mobile phone).
Good to have:
- Prior experience developing models based on input data from sensors typically used on personal-compute devices (accelerometer, gyro, PPG, pressure, microphone, temperature etc).
SKILLBIRD LLC,
4 Peddlers Row, Unit#5, Newark, DE 19702
Contact: 13024953200 Ext-303
Email: reshu@skill-bird.com
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