The Company

Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. 

As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment.  

Join us in our mission to transform the healthcare staffing industry and improve patient lives!

The Role:

We are looking for an experienced Machine Learning Engineer to enhance our ML efforts across the organization. You will take the leading role in designing, implementing, and managing the infrastructure and processes necessary to develop, deploy, monitor, and maintain machine learning models in production. You will be in a collaborative and innovative environment partnering with the product, data science, and the rest of the engineering team to deliver the impact with the models and systems you build.

The Impact You’ll Make:

• Design, build, maintain, and enhance ML infrastructure using modern open-source and third-party solutions

• Collaborate with Data Scientists, Data Engineers, Developers, and DevOps to ensure smooth development and deployment of ML models

• Work across data and services to productionize ML models in the engineering stack

• Establish monitoring and alerting systems to track model performance and detect anomalies.

• Promote the ML best practices in the org

Who You Are:

• Ph.D./M.S. in a quantitative field with 3+ years of experience or Bachelor with 7+ years of work experience

• Minimum of 2 years of hands-on experience building and productionizing end-to-end Machine Learning Systems

• Deep understanding of ML concepts and algorithms

• Proficient in one or more programming languages (Python, Java, and Scala)

• Experience with cloud platforms such as GCP, AWS, or Azure.

• Familiarity with orchestration tools like Kubernetes and Prefect would be a plus

• Proven ability to effectively communicate with cross-functional teams

• Self-starter, with the ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholders

• Excited and hungry to try new tools and processes to achieve results

• Passionate about building delightful products for our customers

The estimated compensation for this role is $175,000 to $205,000

Why Medely: Benefits & Perks

• Competitive Compensation: Based on experience and performance

• Long-term Incentives: 401k

• Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance

• Flexibility: We believe that work/life balance is important, so we offer twenty days of Paid Time Off and eleven paid holidays.

• Paid parental leave

• Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally!

• Ownership: Drive meaningful business impact on a team you’ll help build and define!

• Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!

We’re an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.

Work location is flexible if approved by Medely.

Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate.

We are an E-Verify company.