Machine Learning Engineer
Remote - United States
Olive
Olive is purpose-built for healthcare, improving operational efficiency for provider and payer teams with intelligent automation.Olive is changing healthcare by bringing solutions to all members of the healthcare space: patients, providers, and payers. Olive drives connections across the three sides of the market, shining a new light on the broken processes that stand between providers and patient care. Olive leverages AI and direct-from-source data to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive is connecting the entire healthcare system, so we can all have a healthier tomorrow.
Olive is empowering patients to take control of their healthcare. By building a patient-first experience, Olive's app will put their own health, finances, and care into the palm of each patient's hand. Whether you're responsible for yourself, your family, or your parents, Olive wants to help you make confident and informed choices. We are at the beginning of a journey to transform the patient experience. The first step in this journey is to improve one of the worst parts of the patient experience. Olive is taking on the financial side of healthcare--and making it simple, transparent, and effortless. And we're looking for passionate, driven teammates to join us.
Responsibilities:
- Develop machine learning architectures
- Designing architectures to integrate into existing systems
- Deploying selected models as service endpoints
- Monitoring models in production
- Updating models as needed to improve performance
- Collaborating with engineers to translate fit models into production code
- Understand and maintain data pipelines from raw sources to feature stores for models
- Communicate within the team on project status / blockers to get help when needed and render aid when able
- Adhere to security and data protection policies
- Communicate to stakeholders outside the team project status & risks
- Review processes and recommend changes to improve operations
Requirements
- Ability to complete work that is of high quality and documented for colleagues to onboard to the project
- Ability to collaborate with colleagues and colleagues to solve complex problems
- Ability to review code in a constructive and collaborative manner
- Ability to deliver quickly, learn, iterate, and maintain machine learning products
- Experience and/or training equivalent to Masters in a Machine Learning-adjacent field
- Experience solving general problems with data
- Experience with machine learning operations
- Curiosity and a desire to explore, experiment, and learn
Preferred Skills/Experience Nice to Have:
- Familiarity with AWS (Lambda a bonus)
- Experience with cloud-based compute (AWS, Databricks a bonus)
- Python and object oriented (bonus for experience with pandas, scikit-learn, keras, Tensorflow 2+, py/Flask, and Numpy)
- SQL and NoSQL data sources
- Version control, (Git preferred, GitLab a bonus)
- Experience with Agile development, continuous integration, testing, deployment & release methodologies
- Experience with Terraform and YAML files is a bonus
- Experience with Restful APIs is a bonus
- Familiarity with HIPAA and the importance of privacy of patient data a bonus
At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.
Disclaimer:
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.
This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.
Benefits
We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own.
- Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents
- Monthly Grid stipend to cover work related expenses
- Unlimited PTO
- Telemedicine
- EAP/Mental health resources
- Getaways by Marriott Bonvoy
- Family-building and fertility support via Kindbody
- 12 weeks of parental leave
- 401(K) match
- Wellness program
- Stock Options
Tags: Agile APIs AWS Databricks Data pipelines Flask Git GitLab Keras Lambda Machine Learning NoSQL NumPy Pandas Pipelines Python Research Scikit-learn Security SQL TensorFlow Terraform Testing
Perks/benefits: 401(k) matching Career development Equity Fertility benefits Health care Parental leave Salary bonus Team events Unlimited paid time off Wellness
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