Sr. Machine Learning Engineer

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

Do you want to be at the forefront of one of the most exciting and visible applications of Gen AI and machine learning at CVS Health? We are seeking seasoned and high performing data scientist to join Iris team. Iris an existing in-house RAG (retrieval augmented generation) solution that provides automated answers to health insurance questions that our members have. Iris is currently live for customer service representative (CSR) users within Aetna's call center, where is driving significant call duration savings and great user feed-back, but its vision is to become a intelligent member facing bot powering CVS self- servicing channels. This role requires someone who is willing to become a subject matter expert on customer service practices - the best way to create a tool that serves users is to think like a user and become deeply familiar with their pain points. You will work extensively with the A&BC data engineering team, product team, and business (Service Operations) to establish requirements, design enhancements, implement them or coordinate implementation with DE, evaluate performance, and measure impact.

As Senior ML Engineer, you will be responsible for

1. Developing new features (e.g. question classification, driving the vision for making Iris member-facing in YAVA/AH, designing how the chat experience functions, summarization/simplification)

2. Ensuring accuracy (e.g. diagnosing product feedback and identifying fixes, improving benefit search, improving search strategy, prompting, codifying business practices with advanced analytics, ML, or gen AI)

3. Working on new data source integration

4. Measuring product performance, usage patterns, and impact

Required Qualifications

3+ years of hands-on experience in data analysis, machine learning, and deep learning

3+ years experience in statistical analysis and experiment design

Strong proficiency in SQL and Python, including experience with essential packages such as scikit-learn (sklearn), matplotlib, pandas, seaborn, PyTorch, Hugging Face, and OpenAI

3+ years experience documenting, synthesizing, and communicating results at all levels of the

Preferred Qualifications

· Experience building and evaluating data products with gen AI

· Experience with natural language processing - classification (sequence/token), information retrieval (dense/sparse search), and regex

· Familiarity navigating GCP - GCS, Big query, Big table, data proc.

· Experience working with non-technical stakeholders to establish business requirements for undefined requests

·Excellent communication and presentation skills, with the ability to work effectively with cross-functional teams and manage stakeholders

Experience with Generative AI, LLM, and NLP

Full Stack Data Science experience is a plus

Education
Bachelor's degree in Applied Mathematics, Computer Science, Physics, Engineering, or equivalent quantitative field.
Master's degree or PhD preferred

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.  
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 10/02/2024

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.