About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn't your average doctor's office. We're on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we're building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
At One Medical we build software to improve the healthcare experience for not just our members, but for our providers as well. This enables us to build amazing end-to-end solutions to connect patients and our care team in new and innovative ways.
As a Staff Software Engineer (Machine Learning), not only will you be partnering with designers and product managers, you'll also be working with clinicians and staff who deliver care daily to One Medical patients. You'll work across the healthcare lifecycle to build features that deliver higher quality care more efficiently and compassionately.
This role is particularly well-suited for someone who values having significant ownership of their work, helping to lead the direction of the team and/or partnering and mentoring other engineers. We tend to partner with other product teams to build solutions in their domains.
We are a collaborative and intellectually curious group. We have strong opinions yet keep them loosely held--it's important to us we create an environment where everyone feels safe and supported to voice their thoughts and ideas. If you buy into these ideologies, we'd love to find a time to connect.
What you'll work on:
- Augmenting the patient experience: When members ask questions or book appointments, we want to deliver exceptional patient experiences by providing timely support and assistance. You will utilize novel techniques such as deep learning to understand, support and enhance user interactions, and to create a seamless and accessible patient journey.
- Enhancing clinical workflows: Our goal is to help our providers focus on doing what they do best: providing best-in-class patient care. We build tools that streamline encounters using predictive autocomplete, summarize and categorize documents, highlight patient risk areas, and provide clinical decision support.
- Enabling population health management: Even when the patient is not in the clinician's office, we can analyze the health data of the population overall. We build tools to identify at-risk patients who can benefit from various screenings and preemptive interventions to keep members healthy.
You'll be set up for success if you have:
- Proven experience and high-level of proficiency in Python and related packages.
- Deep understanding of machine learning with 7+ years of experience
- Deep understanding of LLM's. We focus on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction.
- Understanding of different metrics used in NLP
- Familiarity with Amazon Web Services (AWS) or other cloud services
- Track record of deploying machine learning services to production
- A passion for learning, experimenting with, and applying cutting edge machine learning technologies
Not required, but it would be great if you also had:
- Knowledge of security best practices
- Excellent communication skills to translate technical and business strategy in collaboration with partners (business leaders, product managers, clinical/operations staff) across the organization
- Familiarity with Amazon Web Services (AWS) or other cloud services
- Understanding of relational databases such as MySQL or Postgres, as well as NoSQL databases such as DynamoDB
Taking care of you today:
- Paid sabbatical after 5 and 10 years
- Employee Assistance Program - Free, confidential advice for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental, and Vision plans
- Free One Medical memberships for yourself, your friends, and your family
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family:
- 401k match
- Opportunity to participate in company equity programs
- Credit towards emergency childcare
- Company-paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability Insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
This is a full-time remote role based in the United States. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $152,000 to $260,000 per year. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The total compensation package for this position may also include annual performance bonus, RSUs, benefits and/or other applicable incentive compensation plans. For more information, visit https://www.onemedical.com/careers/
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One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster (English/Spanish) and Right to Work Poster (English/Spanish) for additional information.