Senior Machine Learning Engineer

Company Description 

We are building the world's largest in-home care system.  

Healthcare is rapidly moving into the home, creating an enormous market opportunity that’s growing daily as consumers increasingly demand more convenient healthcare options. 

Technology is the engine that powers our foundation. It ensures we can reach massive scale and drives differentiation from any other healthcare company entering this space. We’re using data to ensure patient safety and tailor the care to patients’ specific needs which allows for better care delivery from patient onboarding, patient care, and post care follow-up.  

DispatchHealth is a Series D startup with more than $400m in funding and a $1B+ valuation. We’re backed by Oak, Tiger Global, Alta Partners, Optum Ventures, Questa Capital, ad EchoHealth Ventures. 

Team Culture 

We’re a remote first org and our engineering team is spread out across the US, Mexico, and Ukraine. Our culture is focused on impact, accountability, and collaboration.  

As a team, we share the goal of driving the company forward and transforming healthcare through the technology we build. We believe the only way we can accomplish our goal is together, and that our whole is greater than the sum of our parts. We collaborate closely across every function because we recognize that no individual function can solve the whole problem as well as we can when we all work together. 

With our teammates spread out across different cities, we actively support each other and cultivate an environment where everyone is comfortable sharing ideas regardless of seniority or function, and where the best ideas consistently win. We know the positive feeling we get when we feel heard, and we reciprocate that deep engagement with others when they’re talking or presenting so that we gain alignment and promote our collective actions. 

Come join us on the journey to transform healthcare! 

Position Summary: 

As a Senior ML Engineer at Dispatch Health, you will drive the creation and management of fundamental ML models and infrastructure. These ML models drive key components of DispatchHealth and this role will play a critical role in the implementation and management of our ML platform. This is a high visibility role that will allow DispatchHealth to scale our patient onboarding, logistics, and clinical operations functions. 

What You'll Achieve: 

• Create cross-functional feature stores that can be leveraged by data science teams 
• Perform feature engineering to generate more accurate models that support DispatchHealth’s logistics and operations 
• Fit and tune ML models following data science best practices while meeting MVP deadlines 
• Develop and maintain key ML engineering infrastructure for model deployment, monitoring and performance 
• Help define and solve business problems with machine learning applications 
• Drive key business metrics with machine learning solutions 

Skills You'll Need to Bring:  

• MS+ degree in ML Engineering, Computer Science, or related field OR relevant experience
• 5+ years of experience shipping software 
• 3+ years of Python development experience 
• Experience extracting data from business applications and performing robust feature engineering 
• Strong industry experience in machine learning 
• Cross-functional collaborator and strong communicator 
• Comfortable solving ambiguous problems and adapting to a dynamic environment 

The team:  

Reporting to Dan Edstrom, VP of Data Science and Data Engineering 

Others you will learn from and collaborate with:  

• Manu Sabherwal 
• Tarun Narasimhan 
• Michael Duncan 
• Constantino Schillebeeckx 

Our benefits 

• Health insurance coverage 
• Mental health benefits
• Unlimited Vacation time
• Competitive Salary
• Stock options
• Career ladders and bi-annual performance review 

Location: Remote, USA 

 The salary pay range for this position in Colorado is $180,000 - $210,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. Our total compensation package also includes stock options.  

DispatchHealth is an equal opportunity employer committed to creating and supporting a diverse and inclusive team and serving all communities. All qualified applicants will be considered for employment regardless of race, gender, gender identity or expression, sexual orientation, religion, national origin, disability, age or veteran status. We welcome diverse perspectives and people who aren't afraid to challenge the standard. If you need additional accommodations to feel comfortable during your interview process, please email us at tech-recruiting@dispatchhealth.com. 

To see our Employee Privacy Notice, please see here: https://www.dispatchhealth.com/employee-privacy-notice/