Machine Learning Engineer

Work Mode: Hybrid

Location: This role can be filled in Milwaukee, New York area, or Palo Alto, CA

Opportunity

A division of Kohler Co., a global leader in kitchen and bath, power generation, and hospitality, Kohler Ventures builds new health and wellness businesses in areas of strategic importance to the company.

Our mission is to empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and new innovations developed through the integration of leading-edge technology, science, and design.

Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.

Backed and conceptualized by Kohler, a key player in the bath and home-goods marketplace, Kohler Health is a new health/wellness focused business unit. This new line of business is well positioned to disrupt the multi-billion-dollar home health monitoring industry and we are looking for the very best talent to achieve this. The vision of the newly conceptualized Kohler Health is to transform patient care through health and wellness to improve patient outcomes through data and convenience.

We are seeking a Machine Learning Engineer who is passionate about applying machine learning to consumer IoT and health and wellness diagnostics. The candidate should also have a desire to execute and guide model development through all phases of the product development life cycle. The ideal candidate will have a successful track record as a machine learning engineer, taking models from design to proof-of-concept and launch.

In your role as Machine Learning Engineer at Kohler Health you will:

Support the development of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.

Perform complex statistical analyses and architect/train ML models on large data sets of unique data.

Work with complex and sensitive health care data to develop mathematical modelling.

Design and implement data science applications.

Design, build, automate, deploy and maintain machine learning production pipelines.

Implement machine learning model lifecycle management framework.

Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvement

Participate in product discussions and roadmap exercises to understand business use cases.

Author technical documentation and reports to communicate process and results

Collaborate with Engineering teammates to deploy models into production.

Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Kohler Health.

Collaborate with regulatory team to develop intended use and regulatory strategy.

Support development of the overall product strategy via understanding of the in-home diagnostics competitive landscape, available and upcoming third-party integrations, and industry practices.

Skills/Requirements

Bachelors degree and/or postgraduate degree or higher involving machine learning, computer science, statistics, or another STEM field

5+ years of experience working on commercial deep learning projects and have an appreciation for, and a vision to implement, a well-organized deep learning infrastructure

3-5 years hands on experience in building data science applications and machine learning pipelines

A solid understanding of Machine Learning workflows including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions

Experience with CI/CD methods

Experience with large data sets, distributed computing, and cloud computing platforms

Strong skills in one or more languages: Python, R, JavaScript, Java, C++, C

Experience designing, building, and maintaining Machine Learning models, frameworks, and pipelines

Grasp of classical statistics, such as fitting regression models, inference testing & sampling

Understanding of data structures, data modelling and software engineering best practices

Experience in consumer health / MedTech; Digital health, in-home consumer diagnostics, connected or smart home devices experience preferred

Demonstrating deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

Medical device-related safety and compliance standards

Preferably have experience in a consumer health / Med Tech startup or incubator environment, taking products from inception to launch and building an effective product and design team

#LI-Hybrid

To fully demonstrate our commitment to the health, safety, and wellbeing of our associates, we are requiring all U.S. based team members to be fully vaccinated against COVID-19 as a condition of employment. We believe this path forward further strengthens our workforce and the future growth and resilience of our company and community. Individuals with medical conditions or sincerely held religious beliefs that prevent them from getting the vaccine may request an exemption from the vaccine requirement.

Applicants must be authorized to work in the US without requiring sponsorship now or in the future.

Why Work at Kohler Co.?

Kohler Co.'s mission is to contribute to a higher level of gracious living for those who are touched by our products and services. We understand that it takes investment in our associates development to make that happen. So, we offer ongoing investment in each individuals personal development and the opportunity to collaborate with others across functions and roles at Kohler.

In addition to the investment in your development, Kohler offers a benefits package including a competitive salary, health, vision, dental, 401 with company matching, and more!

About Us

Beyond the competitive benefits and compensation, Kohler proudly offers a rich history, steeped in creativity and a commitment to our associates and communities. We invite you to learn more about our culture and company at www.kohlercompany.com .

It is Kohlers policy to recruit, hire, and promote qualified personnel in all job classifications without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com . Kohler Co. is an equal opportunity/affirmative action employer.

We invite you to learn more about equal employment opportunity by reviewing the FederalEEO is the Law and theEEO is the Law Supplement .

Job Details:

Posted Date : 2022-05-07

Job type : Full Time

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