Machine Learning Engineer

Apex Systems is currently hiring a Machine Learning Engineer for a position within the health and wearables space. The Ideal candidate will have a strong background in analysis and statistics.Position: Machine Learning Engineer Must be able to apply without Sponsorship.Location: Fully Remote – Or if local to Burlingame, CA. can be onsiteType: 6 months with a high likelihood to extend (for up to two years) (Must work PST)Compensation: $80.00-$100.00 Depending on experienceResponsibilities:Gather data from various sources, clean, and prepare for analysisCreate 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 efficiencyWork closely with XFN partners including data, software & hardware engineers, project managers and other internal and external stakeholders. Required Skills:5+ years, of total experience: in Machine LearningMachine Learning/Analytical background Strong in Python ProgrammingExperience with PANDAS, Numpy, PyTorch Strong Machine Learning skills - Strong analytics mindset - Take the existing data set and put the lost function, stage 1 ML engineer - End-to-end drive solution to the problem that does not exist - Machine Learning modelsBachelor’s degree in computer science, similar technical field, or equivalent practical experiencePreferred Skills:Experience with health tech, consumer productsExperience 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)Prior experience developing models based on input data from sensors typically used on personal-compute devices (accelerometer, gyro, PPG, pressure, microphone, temperature etEEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the