Machine Learning Engineer / UNICORN / Hybrid in SF

Motion Recruitment
  • San Francisco, CA
    2 days ago

    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.

    #LI-CD1

    Numbers & Facts

    LocationSan Francisco, CA

    Skills

    • Apache Sparkunmatched
    • Artificial Intelligence (AI)unmatched
    • Biomedical Engineeringunmatched
    • Computer Scienceunmatched
    • Computer Skillsunmatched
    • Customer/Client Researchunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Dental Insuranceunmatched
    • Distributed Computingunmatched
    • Emerging Technologyunmatched
    • Engineeringunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Medical Equipmentunmatched
    • Power Generationunmatched
    • Python Programming/Scripting Languageunmatched
    • Research & Development (R&D)unmatched
    • Signal Processingunmatched
    • Statisticsunmatched
    • Unicorn Library Management Systemunmatched
    • Vision Planunmatched

    Be found by employers

    5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.

    Level up your application

    Professional resume templates

    Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.

    Free resume templates

    Free resume builder

    Improve your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.

    Free resume builder