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    Machine Learning Engineer

    🌟 RezScore · New York, NY

    We are looking for a Machine Learning Engineer with industry experience working on a range of classification problems at scale.



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Machine Learning Engineer

New York, NY
Engineering
Full-Time
 
We are the first sleep fitness company. We design products at the forefront of sleep innovation. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better. 
 
Backed by leading Silicon Valley investors including Founders Fund, Khosla Ventures and Y Combinator,  we’ve raised 68 million to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2018.
 
Our temperature-regulated smart bed, the Pod is an absolute game changer, improving people's health and happiness by changing the way they sleep. It was named one of Time Magazine’s Best Inventions of 2019. We’re excited by the recognition and still have a long way to go toward achieving our mission. 
 
That is why we are looking for a Machine Learning Engineer with industry experience working on a range of classification problems at scale. If you are excited in applying your machine learning skills to seamlessly monitor heart issues, sleep apnea, fever, strokes and stress while optimizing bedroom environments for better sleep, this is the job for you.

How you’ll contribute:

    • Write machine learning applications using a range of techniques for a diverse set of problems
    • Generally contribute to improving the health and value of our machine learning ecosystem through finding and building best in class model pipelines and infrastructure
    • Ability to code in Python, and pick up other languages as needed
    • Join a small, excellent team solving hard problems the right way
    • Ship iterative machine learning solutions frequently, own meaningful parts of our service, have an impact, and grow with the company

What you'll need to succeed:

    • Hold a BS, MS, or PhD in computer science or a related field (or equivalent work experience)
    • 2-5 years of machine learning engineering experience working on large scale systems
    • 2+ years of experience building production systems that use machine learning at scale
    • Understand experimental design and can build for collection, measurement, and interpretation of results
    • Advanced Python proficiency
    • Have experience optimizing the performance, reliability, and scalability of systems
    • Obsess over finding simple approaches to complex problems
    • Are enthusiastic about working on a multi-disciplinary team and willing to venture out of your comfort zone and learn new things
    • Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation)
    • You want to work in a fast, high growth startup environment with lots of independence and responsibility

Bonus Points

    • Experience with Keras and Tensorflow
    • Experience with signal processing
    • Participation in open source software community/communities

Why you'll love working here:

    • We’re a tight-knit, passionate team that’s working to improve people’s lives
    • Leadership is committed to employees’ wellness and career development
    • You’ll get a better night sleep every night; all full-time employees receive our product
    • Flexible, generous PTO
    • 100% employer contribution for medical/dental/vision insurance
    • Discounted gym memberships, commuter benefits
    • Weekly team happy hours and lunches
    • Office snacks
 

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