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Motion Recruitment Partners LLC

Machine Learning Engineer / UNICORN / Hybrid in SF

northern, KY

Check who can apply and the requirements below before continuing.

About this opportunity

Motion Recruitment Partners LLC lists this Machine Learning Engineer / UNICORN / Hybrid in SF opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.

Job description

A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team. This full-time opportunity offers the chance to build advanced machine learning systems that power next-generation wearable and sensor-based health products. The team works heavily with Python, TensorFlow, PyTorch, Spark, signal processing, and large-scale physiological datasets to create meaningful consumer health insights.

This is a true zero-to-one engineering opportunity. Rather than maintaining existing models, this individual will help invent entirely new sensing capabilities, develop multimodal AI solutions, and influence the future roadmap of emerging health technologies. The organization values innovation, scientific rigor, and collaboration while providing significant ownership, rapid career growth, and the opportunity to see research move directly into production products used by customers worldwide.

Required Skills & Experience

3+ years of machine learning engineering experience

Strong Python development experience

Experience with TensorFlow and/or PyTorch

Background working with sensor, wearable, physiological, or time-series data

Experience developing and deploying machine learning models

Understanding of signal processing techniques

Strong mathematical and statistical foundations

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or similar

Desired Skills & Experience

PhD in Machine Learning, AI, Computer Science, Statistics, Biomedical Engineering, or related field

Publications in top-tier ML conferences or journals

Experience with self-supervised learning

Experience with multimodal machine learning

Consumer wearable or medical device industry experience

Spark or distributed computing experience

Experience working with production-scale data pipelines

What You Will Be Doing

Tech Breakdown

40% Machine Learning Development

25% Signal Processing & Sensor Analytics

20% Data Engineering & Spark

15% Research & Experimentation

Daily Responsibilities

80% Hands On Engineering

20% Team Collaboration

The Offer

Competitive Salary

Equity Program

You will receive the following benefits:

Medical, Dental, and Vision Insurance

Generous PTO

Paid Holidays

Equity Participation

Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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Who can apply

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