Machine Learning Engineer II (Remote)

Carbon Health

San Francisco California

United States

Engineering
(No Timezone Provided)

WHAT IS CARBON ALL ABOUT?At Carbon Health, we believe in the power of health, of medicine, and of technology. We aim to create a supportive environment where you can develop your career and continuously refine your craft. To support this goal, we’ve built a diverse and passionate team of employees who are all driven to learn from one another and reach Carbon Health’s mission of bringing high-quality healthcare to everyone. The Job At A Glance Join Carbon Health’s dynamic and talented engineering organization! Our engineering team provides the Carbon Health modern tech-enable health care platform that combines technology with inviting healthcare clinics designed from the ground up putting patient care first.We are looking for a Software Engineer II who specializes in Machine Learning ; someone who will grow with the team and help move our ML architecture and function forward. You will partner with data science, product, design, operations, sales, and engineers focused on applying machine learning applications to healthcare problems. Given Carbon’s focus on healthcare accessibility, this role offers one of the rarest opportunities to apply ML to solve real patient problems at a large scale, reaching over a million patients. Because of our unique position providing care to real patients every day, Carbon has a large, unique and evolving data set. Some problem areas include: * Clinical Decision Support Systems: Patient-reported symptoms, provider measurements, and device readings to predict diagnoses, therapies and orders, in service of making providers faster and more efficient. * Price Transparency:  using visit history and claims data to predict the total patient responsibility, so patients know how much a visit will cost them upfront, with or without insurance. * Smart Scheduling with Wait Time Estimation: optimize scheduling for both patients and providers while providing transparency to users about when appointments will run long. * Prescription Drug interactions: surfacing when prescriptions will drive adverse reactions in patients, and suggesting higher quality alternatives to providers. * Charge Review Automation: Automating a human driven process of reviewing claims prior to billing patients.

What You'll Do:

  • Collaborate with engineering, product, design, data science, and operations teams to leverage Machine Learning to support Carbon Health’s missions and goals. You will have the opportunity to deeply understand the entire product, not just the ML stack.
  • Build fundamental infrastructure for developing, testing, and shipping ML applications quickly.
  • Deliver and own innovative ML solutions end-to-end to help drive business metrics, delighting patients, providers, payers, and employers.
  • Stay up-to-date with the latest state-of-the-art techniques in ML and help to foster a culture of learning within the organization.
  • Excellent verbal and written communication skills with a strong team-player mentality.
  • Technical Qualifications:

  • 3 - 5 years of software engineering pushing production-level code, with experience in ML, data science, big data analytics, statistics, or operations research.
  • Proficiency in Python or Scala, and SQL.
  • Experience with cloud computing platforms: AWS, GCP, or Azure.
  • Familiarity with ML libraries (such as scikit-learn), development tools (such as Jupyter Notebook), or distributed computing engines (such as Spark).
  • Experience with any of the following is a plus: Presto, Snowflake, AWS SageMaker, Databricks, PyTorch, Tensorflow.
  • Expertise in applying machine learning algorithms and techniques in a production environment.
  • Well-developed statistical and mathematical skills and experience with concepts such as causality, selection bias, incrementality, hypothesis testing, and more.
  • Perks:

  • Forward-thinking, transparent, and inclusive company culture
  • Collaborative environment within and across our clinic sites, virtual care teams and at HQ in San Francisco
  • 401K with matching contribution and Pre-tax benefits including Commuter (transit & parking)
  • Competitive compensation with medical, dental, vision, 401K (with match), FSA Medical, FSA Dependent Care and other great benefits for full time & part time employees who work 20+ hours a week
  • #LI-SI1 A BRIEF HISTORY Carbon Health is the leading national healthcare provider with a mission to bring world-class healthcare to everyone. Leveraging its unique technology platform, Carbon Health provides its patients with omnichannel care: seamless care from the same trusted providers at a wide variety of access points, including urgent care, primary care, virtual care, pop-up sites, the Carbon Health app, and on-site at their employers. Carbon Health also provides value-based care to enterprise partners across a broad range of industries, including academia, sports, entertainment, biotechnology, and travel. Apply today, join our team and make an impact! To learn more about Carbon Health, and to stay up to date on what we're doing visit https://blog.carbonhealth.com/We here at Carbon Health recognize that the key to success lies in valuing the minds, experiences and perspectives of people from all walks of life. Carbon Health is proud to value diversity and be an equal employment opportunity employer. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with arrest and conviction records.

    Machine Learning Engineer II (Remote)

    Carbon Health

    San Francisco California

    United States

    Engineering

    (No Timezone Provided)

    WHAT IS CARBON ALL ABOUT?At Carbon Health, we believe in the power of health, of medicine, and of technology. We aim to create a supportive environment where you can develop your career and continuously refine your craft. To support this goal, we’ve built a diverse and passionate team of employees who are all driven to learn from one another and reach Carbon Health’s mission of bringing high-quality healthcare to everyone. The Job At A Glance Join Carbon Health’s dynamic and talented engineering organization! Our engineering team provides the Carbon Health modern tech-enable health care platform that combines technology with inviting healthcare clinics designed from the ground up putting patient care first.We are looking for a Software Engineer II who specializes in Machine Learning ; someone who will grow with the team and help move our ML architecture and function forward. You will partner with data science, product, design, operations, sales, and engineers focused on applying machine learning applications to healthcare problems. Given Carbon’s focus on healthcare accessibility, this role offers one of the rarest opportunities to apply ML to solve real patient problems at a large scale, reaching over a million patients. Because of our unique position providing care to real patients every day, Carbon has a large, unique and evolving data set. Some problem areas include: * Clinical Decision Support Systems: Patient-reported symptoms, provider measurements, and device readings to predict diagnoses, therapies and orders, in service of making providers faster and more efficient. * Price Transparency:  using visit history and claims data to predict the total patient responsibility, so patients know how much a visit will cost them upfront, with or without insurance. * Smart Scheduling with Wait Time Estimation: optimize scheduling for both patients and providers while providing transparency to users about when appointments will run long. * Prescription Drug interactions: surfacing when prescriptions will drive adverse reactions in patients, and suggesting higher quality alternatives to providers. * Charge Review Automation: Automating a human driven process of reviewing claims prior to billing patients.

    What You'll Do:

  • Collaborate with engineering, product, design, data science, and operations teams to leverage Machine Learning to support Carbon Health’s missions and goals. You will have the opportunity to deeply understand the entire product, not just the ML stack.
  • Build fundamental infrastructure for developing, testing, and shipping ML applications quickly.
  • Deliver and own innovative ML solutions end-to-end to help drive business metrics, delighting patients, providers, payers, and employers.
  • Stay up-to-date with the latest state-of-the-art techniques in ML and help to foster a culture of learning within the organization.
  • Excellent verbal and written communication skills with a strong team-player mentality.
  • Technical Qualifications:

  • 3 - 5 years of software engineering pushing production-level code, with experience in ML, data science, big data analytics, statistics, or operations research.
  • Proficiency in Python or Scala, and SQL.
  • Experience with cloud computing platforms: AWS, GCP, or Azure.
  • Familiarity with ML libraries (such as scikit-learn), development tools (such as Jupyter Notebook), or distributed computing engines (such as Spark).
  • Experience with any of the following is a plus: Presto, Snowflake, AWS SageMaker, Databricks, PyTorch, Tensorflow.
  • Expertise in applying machine learning algorithms and techniques in a production environment.
  • Well-developed statistical and mathematical skills and experience with concepts such as causality, selection bias, incrementality, hypothesis testing, and more.
  • Perks:

  • Forward-thinking, transparent, and inclusive company culture
  • Collaborative environment within and across our clinic sites, virtual care teams and at HQ in San Francisco
  • 401K with matching contribution and Pre-tax benefits including Commuter (transit & parking)
  • Competitive compensation with medical, dental, vision, 401K (with match), FSA Medical, FSA Dependent Care and other great benefits for full time & part time employees who work 20+ hours a week
  • #LI-SI1 A BRIEF HISTORY Carbon Health is the leading national healthcare provider with a mission to bring world-class healthcare to everyone. Leveraging its unique technology platform, Carbon Health provides its patients with omnichannel care: seamless care from the same trusted providers at a wide variety of access points, including urgent care, primary care, virtual care, pop-up sites, the Carbon Health app, and on-site at their employers. Carbon Health also provides value-based care to enterprise partners across a broad range of industries, including academia, sports, entertainment, biotechnology, and travel. Apply today, join our team and make an impact! To learn more about Carbon Health, and to stay up to date on what we're doing visit https://blog.carbonhealth.com/We here at Carbon Health recognize that the key to success lies in valuing the minds, experiences and perspectives of people from all walks of life. Carbon Health is proud to value diversity and be an equal employment opportunity employer. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with arrest and conviction records.