Senior Machine Learning Scientist at Cambia Health in Salem, Oregon

Posted in Other 4 days ago.





Job Description:


Senior Machine Learning Scientist


Remote or Hybrid within OR, WA, ID or UT





Cambia Health Solutions is working to create a seamless and frictionless healthcare experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members.


We are seeking a highly-skilled and experienced Senior Machine Learning Engineer to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems, for instance:


  • Reducing our members' claim costs using both supervised and unsupervised approaches.

  • Speeding up prior authorizations and appeals using NLP to understand clinical notes.

  • Personalizing member engagement to promote the health and well-being of our members.

  • Driving health equity across Cambia initiatives.

  • And much more!



As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML models to production and maintain their health and integrity while in production. Your expertise in machine learning, coupled with a strong background in software development, will be instrumental in driving the success of Cambia's AI/ML initiatives.



Qualifications and Requirements:


  • Academic degree (Masters or PhD preferred) in Computer Science, Engineering, or a related field.


  • Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments.


  • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring.


  • Strong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost).


  • Software development skills: Solid understanding of software engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development.


  • Data preprocessing: Proficient in SQL and/or python data-processing libraries such as pandas, NumPy, etc.


  • Collaborative mindset: Ability to work effectively with cross-functional teams to drive alignment and deliver high-quality solutions. Strong communication and collaboration skills are essential.


  • Problem-solving and analytical thinking: Ability to analyze complex problems, break them down into manageable components, and propose innovative solutions. Strong analytical skills for evaluating system performance, identifying bottlenecks, and implementing optimizations.


  • Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation and improve the ML platform.


  • Healthcare knowledge: Previous experience is beneficial but not required.


Responsibilities:


  • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently.


  • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities.


  • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs.


  • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges.


  • ML advancements: Keep abreast of the latest trends, research, and advancements in the field of machine learning. Share knowledge and insights with the team to drive innovation and continuous improvement within the ML platform.




Work Environment:

  • Work primarily performed in a hybrid environment consisting of in-office and working from home.

  • Travel may be required, locally or out of state."



The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,70 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $136,000 - $223,000


The expected hiring range for a Senior Machine Learning Scientist II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is$165,000 - $270,000



About Cambia



Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.



Why Join the Cambia Team?



At Cambia, you can:

  • Work alongside diverse teams building cutting-edge solutions to transform health care.

  • Earn a competitive salary and enjoy generous benefits while doing work that changes lives.

  • Grow your career with a company committed to helping you succeed.

  • Give back to your community by participating in Cambia-supported outreach programs.

  • Connect with colleagues who share similar interests and backgrounds through our employee resource groups.



We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.


In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:




  • Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.

  • Annual employer contribution to a health savings account.

  • Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.

  • Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).

  • Up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption).

  • Award-winning wellness programs that reward you for participation.

  • Employee Assistance Fund for those in need.

  • Commute and parking benefits.



Learn more about our benefits.


We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.


We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.


If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.
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