Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added just now
BP
Electronics Engineer
Bonneville Power Administration
Vancouver, WA
- $130,328 to $157,607 USD / year
A successful candidate in the Electronics Engineer position will serve as the Telecommunications Asset Manager responsible for developing strategies for replacing aging telecommunications…
Added 6 mins ago
FA
PUBLIC NOTICE - Airway Transportation Systems Specialist
Federal Aviation Administration
May be filled in various FAA duty locations
- $69,552 to $82,976 USD / year
…understanding, both theoretical and practical, of automated systems operation, integration, management, and maintenance. Experience may have been gained in occupations such as computer…
Added 9 mins ago
MD
Interdisciplinary General Engineer/ Operations Research Analyst
Missile Defense Agency
Colorado Springs, CO · Redstone Arsenal, AL
- $91,870 to $144,102 USD / year
Aiding with the integration of weapon systems by working with multiple agencies or directorates/divisions to ensure that various systems connect seamlessly.
Added 11 mins ago
System Integration & Test Engineer
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a System Integration & Test Engineer to join our team of qualified, diverse individuals within our Lab Test organization. This role…
Added 11 mins ago
Staff Systems Engineer - TRMC Systems Engineering Lead
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Staff Engineer Systems – TRMC Systems Engineering Lead to join our team of qualified, diverse individuals in our Systems…
Added 11 mins ago
Sr. Principal System Engineer - NATO IFC Lead
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Senior Principal Systems Engineer to join our team of qualified, diverse individuals within our Systems Engineering organization,…
Added 11 mins ago
Principal Engineer Systems RQ-4 FMS IFC Manager
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Principal Systems Engineer - RQ-4 FMS IFC Manager to join our team of qualified, diverse individuals within our Systems Engineering…
Added 16 mins ago
UM
GENERAL ENGINEER
U.S. Marine Corps
Quantico, VA
- $143,913 to $197,200 USD / year
You will serve as the authoritative technical expert for the program management office lead engineer, provide business advice, anticipate operational risks, resolve unexpected events, and…
Added 16 mins ago
Senior Manufacturing Engineer
Rochester Precision Optics
West Henrietta, NY
…of products & services including – Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. RPO…
Added 16 mins ago
Packaging Engineer
Rochester Precision Optics
West Henrietta, NY
…of products & services including – Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As…
Added 17 mins ago
Modeling and Simulation Engineer, Junior
Booz Allen Hamilton Inc.
ROME, NY
Job Number: R0252936 Modeling and Simulation Engineer, JuniorThe Opportunity:As an aerospace modeling and simulation (M&S)engineer, you know leading-edge technology is critical to national…
Added 17 mins ago
Technology Solutions Architect
Securitas Electronic Security, Inc
ELMSFORD, NY
…health, safety, and security solutions. As a trusted leader in systems integration and alarm monitoring, we bring the Securitas Technology Difference to life- delivering a comprehensive…
Added 18 mins ago
Mechanical Design Engineer
DivIHN Integration
CORNING, NY
Key Responsibilities * Develop and design mechanical components, fixtures, and systems, ensuring compliance with safety and industry standards * Utilize CAD software (e.g., SolidWorks,…
Added 18 mins ago
CMC Mechanical Analysis Lead Engineer
GE Aerospace
Schenectady, NY
The Lead Engineer will be responsible for supporting and leading mechanical analysis projects for CMC hot section hardware and/or interfacing metallic components with specific focus on…
Added 18 mins ago
BP
Experienced Structural Analysis Engineer Schenectady NY
Bechtel Plant Machinery, Inc.
SCHENECTADY, NY
- $88,000 to $166,300 USD / year
Location: Schenectady, New York Job Title: Experienced Structural Analysis Engineer Status: Full-time Professional Annual Salary Range: $88,000 - $166,300 *Salary commensurate with…
Added 19 mins ago
C
Technical Engineer V
CTG
Buffalo, NY
- $67.17 to $111.94 USD / hour
At least 10 years of professional experience in technical engineering, infrastructure design, data management, systems integration, or complex application development.
Added 19 mins ago
Principal Software Engineer - Ai
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 19 mins ago
Senior Workday Security Engineer
CVS Health
Albany, NY
CVS Health is seeking an experienced Senior Workday Security Engineer to join the HR Technology Workday Security team. This role designs, supports, governs, and optimizes security across…
Added 19 mins ago
Senior Systems Engineer Fuel Cell Systems
Plug Power Inc.
ALBANY, NY
Senior Systems Engineer - Fuel Cell Systems Status: Exempt (Salaried) Department: Fuel Cell Platforms - Systems Engineering Position Summary Plug is building the global hydrogen ecosystem.…
Added 19 mins ago
HT
Field Service Engineer II-Relocation Package Available!
Honeywell Technologies
Albany, NY
- $35.82 to $44.81 USD / hour
As a Field Service Engineer II here at Honeywell, you will support Building Automation Systems (BAS), Access Control, and/or Fire Alarm systems throughout the Empire State Plaza campus and…
Added 19 mins ago
Associate, Computer / Electrical Engineer (FPGA Development)
L3Harris
Rochester, NY
Job Title: Associate, Computer / Electrical Engineer (FPGA Development)
Added 19 mins ago
Sr Specialist, System Engineering (Space Optical Systems)
L3Harris
Rochester, NY
The L3Harris space superiority and imaging systems engineering department is seeking a systems engineer to join our team and support programs that we have recently won. The department…
Added 19 mins ago
Network & Infrastructure Security Engineer
The Gleason Works
Rochester, NY
…related accessories, gear metrology equipment and automation systems. Gleason products are used by customers in e-mobility, commercial vehicles, aerospace, agriculture, mining, sustainable…
Added 19 mins ago
Manager, Forward Deployed Engineer
KPMG LLP
ROCHESTER, NY
…team.KPMG is currently seeking a Manager, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization.Responsibilities: * Own end-to-end solution architecture…
Added 19 mins ago
Lead Engineer-QA
Insight Global
New York, NY
As Lead Engineer, Quality Assurance, you will own quality across the full BIDS platform: the BIDS Trader workstation, the core matching engine and the back-end services behind it, and the…

CVS Health

Principal Machine Learning Engineer

New York, NY, United States

$144,200.00 - $288,400.00

Apply About employer

Applications open in a new tab.

Job details

Pay: $144,200.00 - $288,400.00
Posting language: English
Posted: Nov 9, 2026

Original job description

We’re building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Principal Machine Learning Engineer

Principal / Staff+ Individual Contributor · Personalization & Decisioning Platform

POSITION SUMMARY

Join a leading retail organization's personalization and decisioning platform team at a pivotal moment of building a unified, large-scale machine learning platform that drives one-to-one offer, content, and channel decisions across millions of customers. This is a hands-on, backend-heavy engineering role that you will spend the majority of your time designing and building production systems, not just models.

As the most senior engineer on the team, you will set technical direction for how machine learning is designed, built, tested, deployed, and operated at scale. You will architect the backend services, data contracts, and distributed pipelines that let causal inference, reinforcement learning, and large-scale optimization models run reliably in production - and you will raise the engineering bar for everyone around you through code review, design review, and direct mentorship.

You will partner closely with data engineering, MLOps, product, and platform teams to ensure models are not just accurate, but maintainable, observable, testable, and safe to change. A meaningful part of this role is technical leadership: setting standards, unblocking other engineers, coaching mid-level and senior ML engineers, and acting as the de facto tech lead for the team's most complex initiatives.

Experience in retail, ad-tech, or large-scale marketing/offer personalization is a strong plus.

WHAT YOU'LL DO

Backend Engineering & Systems Design

· Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines) that serve machine learning decisions to downstream systems with strict latency, throughput, and reliability requirements.

· Design data contracts and interfaces between data engineering, model training, and production serving layers, with a focus on training-serving parity and point-in-time correctness.

· Own the design of versioned, queryable feature stores and point-in-time lookup APIs that eliminate feature leakage and support both training and real-time inference from a single code path.

· Design and optimize large-scale distributed computing workflows (containerized batch jobs, parallelized training, and optimization solves) that run reliably within tight operational SLAs.

· Make build-vs-buy and architecture tradeoff decisions (storage formats, orchestration frameworks, solver choice, serving patterns) and document them as durable architectural decisions.

Software Development Best Practices

· Set and enforce engineering standards across the ML codebase: modular design, dependency management, code review rigor, automated testing (unit, integration, regression), CI/CD, and documentation.

· Introduce and champion practices that make ML systems easier to change safely - contract tests between pipeline stages, reproducible environments, infrastructure-as-code, and rollback-safe deployments.

· Drive observability and monitoring for both software and model health: service-level metrics, data/feature drift, model calibration, and automated alerting - treating production ML with the same rigor as any other production system.

· Lead design and code reviews across the team, balancing pragmatism with long-term maintainability; prevent and resolve technical debt before it becomes a roadblock.

Tech Lead & Mentorship

· Act as the technical lead for the team's most complex, cross-repo initiatives - breaking down ambiguous problems into phased, de-risked implementation plans.

· Mentor and grow mid-level and senior machine learning engineers; provide hands-on guidance on system design, modeling tradeoffs, and production readiness.

· Anticipate and prevent problems and roadblocks before they occur, including proactively identifying scaling limits, failure modes, and operational risk in systems under design.

· Partner with engineering managers and product leadership to shape team roadmap, estimate complex work, and raise the technical bar org-wide without requiring formal people-management authority.

· Communicate complex technical concepts, tradeoffs, and risks clearly to both engineering peers and non-technical business stakeholders.

Machine Learning & Optimization

· Build and productionize large-scale models and decisioning systems - including causal inference / incrementality models, reinforcement-learning-based policies, and mixed-integer optimization for constrained allocation problems.

· Partner with data science to translate research prototypes into reliable, scalable, production-grade systems, closing the gap between notebook and production.

· Build and maintain experimentation infrastructure (holdouts, A/B tests, counterfactual validation) and monitoring for incrementality, drift, and model/business performance.

REPRESENTATIVE TECH STACK

The stack below reflects the kind of systems this role works in day to day. Deep expertise in all of these is not required - strong engineering fundamentals and the ability to ramp quickly matter more than prior exposure to any single tool.

Languages: Python, SQL

ML / Data Libraries: scikit-learn, XGBoost, pandas, NumPy, SciPy

Optimization / OR: Gurobi, PuLP, SCIP / COIN-OR solvers for large-scale mixed-integer programming (MIP)

Distributed Computing: Dask (including distributed/Kubernetes-backed clusters) for large-scale parallel training and scoring

Pipeline Orchestration: Kubeflow Pipelines running on Kubernetes (AKS or equivalent managed Kubernetes)

Backend / APIs: Flask-based REST services, SQLAlchemy, containerized microservices

Data Platform: Snowflake as the primary data warehouse; cloud object storage (e.g., ADLS/S3/GCS) for model and pipeline I/O

Infrastructure: Docker, Kubernetes, CI/CD pipelines (Jenkins / GitHub Actions / GitLab CI), infrastructure-as-code

ML Techniques: Causal inference / uplift modeling (meta-learners, causal forests), reinforcement learning for sequential decisioning, gradient-boosted trees, large-scale constrained optimization

REQUIRED QUALIFICATIONS

· 7+ years of progressively complex software, ML, data science/ engineering experience, including 5+ years building and operating production backend systems or data-intensive platforms at scale.

· 5+ years building, deploying, and owning machine learning systems in production, with a strong focus on software development best practices (testing, CI/CD, code review, modular design).

· Expert-level Python and SQL; deep understanding of software design patterns, API design, and distributed systems fundamentals.

· Proven experience architecting scalable, data-intensive backend systems (microservices, REST APIs, batch/streaming pipelines) in a major cloud environment (Azure, AWS, or GCP).

· Hands-on experience with containerization and orchestration (Docker, Kubernetes) and with ML/data pipeline orchestration tools (Kubeflow, Airflow, or similar).

· Demonstrated experience as a technical lead: setting technical direction, running design/code reviews, and mentoring other engineers.

· Strong track record anticipating risk and preventing production issues before they occur, and communicating technical tradeoffs clearly to both engineers and business stakeholders.

PREFERRED QUALIFICATIONS

· Experience with large-scale mathematical/combinatorial optimization (MIP solvers such as Gurobi, PuLP, or SCIP) in a production decisioning system.

· Experience with causal inference (uplift modeling, CATE estimation, meta-learners) and/or reinforcement learning applied to real-world decisioning or recommendation problems.

· Experience designing versioned feature stores with point-in-time correctness and training-serving parity.

· Experience with distributed computing frameworks (Dask, Spark, or Ray) for large-scale data processing and model training.

· Experience in retail, ad-tech, or marketing personalization domains.

· Demonstrated proficiency across mathematical analysis methods, machine learning, and statistical/predictive modeling, with deep specialization in at least one area (e.g., causal inference, RL, or optimization).

EDUCATION

· Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Engineering, Business Analytics, Economics, Physics, or a related discipline.

· Master's degree preferred, but not required given sufficient hands-on production experience.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

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. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments (https://learn.bswift.com/cvshealth-mainland) .

We anticipate the application window for this opening will close on: 11/29/2026

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

CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran - committed to diversity in the workplace.

Apply About employer

Report this job