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Senior Machine Learning Engineer - Remote

Remote:

Full Remote

Salary:

12 - 12K yearly

Experience:

Mid-level (2-5 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

4+ years of experience in ML engineering, Expertise in Python and SQL databases, Strong communication skills, Passion for optimizing products through ML.

Key responsabilities:

Research, develop, deploy, and monitor ML models
Collaborate with engineers to design software and infrastructure

Revero Startup http://www.revero.com/

2 - 10 Employees

See more Revero offers

Job description

Revero is a personalized digital clinic for treating chronic health conditions such as autoimmune disease. Revero integrates machine learning, personalized nutrition, and virtual care to address the root causes of disease. We have helped thousands of people restore their health and live disease-free, and raised over $6 million from top-tier investors such as A16Z Scout and Goodwater Capital.

Revero is seeking a senior machine learning engineer, hungry to earn an above market (2-3x) equity stake, who can rapidly deploy ML models in production at a fast growing startup.

As an exceptional engineer, you have many options. You want to work here because you:

Believe in Revero’s vision of reversing disease and revolutionizing healthcare

Desire the impact and freedom that come with being an early engineer, with the option of growing into a leadership role

Want to work with an experienced technical team who values code quality

Want the economic upside that comes with receiving 2-3x market equity in a lucrative field

As a full stack health care company of physicians and engineers, Revero collects comprehensive data on our patients’ experience. As a Machine Learning Engineer, you leverage this data to build the next generation of health care by building and interpreting intelligent systems that power our product in order to scale the treatment, drive patient engagement, and improve patient outcomes.

Responsibilities

Research, develop, deploy, and monitor Machine Learning models in production to improve patient engagement and outcomes at scale

Collaborate with software engineers in designing extensible software and infrastructure to accelerate model training, serving, and operations

Translate business objectives into empirical problems that can be optimized with machine learning and statistical modeling

Conduct exploratory analyses of users and business processes to optimize the treatment

About You

4+ years of experience as a machine learning engineer deploying models in production at scale

Expertise in Python’s machine learning ecosystem

SQL database expertise

Passionate about optimizing products or operations through production ML systems and exploring data to understand the user behavior and processes

A champion for quality in code, processes, and culture with a growth mindset

Able to work independently to self-manage priorities