Duties: Job : Looking for a Machine Learning Engineer with experience developing models for lowresource edge devices (Wearable/Mobile devices).Location: USABurlingame CA (Onsite) What you will do:1. You will be responsible for building high performing health devices and systems.2. Gather data from various sources clean and prepare for analysis3. Create and redefine ML algorithms to solve problems.4. Train ML models to use prepared data conduct experiments record findings and evaluate model performance.5. Conduct testing of ML models in various scenarios to perform in different environments.6. Monitor the performance of deployed models issues and necessary adjustments to improve efficiency.7. Work closely with XFN partners including data software & hardware engineers project managers and other internal and external stakeholders.
Skills: Mandatory Skills:1. 4 years of relevant experience.2. Experience with endtoend solutions solving ambiguous problems.3. Fluency in programming with Python; experience with PANDAS Numpy and PyTorch.4. Prior experience developing models for lowresource edge devices (Wearables Mobile devices) Highly Preferred Skills:1. Experience with health tech consumer products2. Experience working with hardware acceleration (e.g. GPU DSP ML accelerator CPU kernel library) Good to have:1. Prior experience developing models based on input data from sensors typically used on personalcompute devices (accelerometer gyro PPG pressure microphone temperature etc).
Education: Bachelors or Masters degree in computer science similar technical field or equivalent practical experience
Required Skills: PYTORCHPYTHONMACHINE LEARNINGMOBILE DEVICES
Additional Skills: ADJUSTMENTSSENSORSKERNEL
Minimum Degree Required: Bachelors Degree
Hours Per Day: 8.00
Hours Per Week: 40.00
Languages: English( Speak Read Write )
Department: Cost of goods sold : 1100
Job Category: IT