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 9 mins ago
J
Lead DevOps Engineer
Jobgether
Remote, United States
- $150,000 to $185,000 USD / year
…infrastructure behind a healthcare technology platform. The Lead DevOps Engineer will guide a team of engineers while remaining hands-on in designing, building, and securing reliable…
Added 12 mins ago
Engineering Manager, Agent Registry
Google
Sunnyvale, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 19 mins ago
IT System Engineer
City of New York
Bronx, NY
In furtherance of this mission, the BXDA seeks experienced and enthusiastic IT System Engineer. The IT System Engineer will be instrumental in driving the organization's IT initiatives…
Added 42 mins ago
Senior Engineer, Metals Diffusion Process
Micron Technology, Inc.
Boise, ID
The Process Engineer will work on DRAM manufacturing processes and be responsible for developing, sustaining, and optimizing manufacturing and assembly processes to improve product quality,…
Added 42 mins ago
Senior Engineer, Bulk Gas
Micron Idaho Semiconductor Manufacturing (Triton) LLC
Boise, ID
As Senior Engineer, Bulk Gas, you will be essential to our growth, guiding technical efforts for extensive gas production, storage, supply, and distribution systems that support significant…
Added 42 mins ago
Senior Engineer, Bulk Gas
Micron Idaho Semiconductor Manufacturing (Triton) LLC
Boise, ID
As a Senior Bulk Gas Build Engineer, you will provide technical leadership for large-scale gas production, storage, supply, and distribution systems supporting major semiconductor…
Added 43 mins ago
SRAM Design Lead
Micron Technology, Inc.
Boise, ID · Albany, NY
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate…
Added 43 mins ago
SR/STAFF ENGINEER, FECOS CPIE YE
Micron Technology, Inc.
Boise, ID
As a Yield Enhancement Engineer, you will drive strategic yield improvement initiatives across Micron's advanced memory portfolio, including DRAM, NAND, and HBM technologies. You will…
Added 44 mins ago
VH
Healthcare Engineer - Network
Veterans Health Administration
Lexington, KY
- $105,366 to $136,979 USD / year
The Healthcare Engineer operates in an environment where system failure, latency, or data loss carries immediate patient safety, financial, and accreditation risk, requiring expert judgment…
Added 49 mins ago
Staff Software Engineer, Mobile and On-Device Agentic AI, XR
Google
San Jose, CA · San Francisco, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 49 mins ago
Staff Software Engineer, Embedded Systems/Firmware, AI2 Platforms Hardware Health
Google
Sunnyvale, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
VH
Biomedical Equipment Support Specialist
Veterans Health Administration
San Francisco, CA
- $67,858 to $161,729 USD / year
In conjunction with supervisor or more experienced BESS and/or Biomedical Engineer, documents all work performed in the computerized maintenance management system (CMMS). This documentation…
Added 1 hour ago
C
Alteryx Administrator ( Hybrid)
Cognizant
Buffalo, NY
- $90,000 to $140,000 USD / year
…designed for an infrastructure/systems administrator or platform engineer with strong experience in Windows Server, Azure IaaS, database connectivity, and enterprise application hosting,…
Added 1 hour 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 1 hour ago
Staff Software Engineer, AI/ML
Google
New York, NY
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
Forward Deployed Software Engineer, Internship France
Palantir Technologies
NEW YORK, NY
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower…
Added 1 hour ago
Principal Machine Learning Engineer
CVS Health
New York, NY
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…
Added 1 hour ago
Specialist, Data Center Operations
Jones Lang Lasalle
NEW YORK, NY
…Sunday - Thursday 8am - 4pmWhat this job involves: The Operating Engineer performs hands-on operations and maintenance work in research facilities and critical environments. This role…
Added 1 hour ago
J
Senior Principal - Red Team Engineer
Jobgether
Remote, United States
- $141,000 to $325,000 USD / year
…steps. Our partner is looking for a Senior Principal – Red Team Engineer based in the United…
Added 1 hour ago
Quality Engineer
IS International Services
Houston, TX
Documentation and Quality Record Maintenance: Maintain quality records such as inspection reports, test data, and non-conformance logs. Ensure documentation is complete, accurate, and…
Added 1 hour ago
Field Solutions Specialist
IS International Services
Remote, United States
…converters, controls software, IoT and core computing devices, data collection, and network…
Added 1 hour ago
BESS Fire Protection Engineer I
IS International Services
Remote, United States
We are seeking a highly motivated and technically skilled BESS Fire Protection Engineer I to join an industry-leading team focused on clean energy technology solutions. This specialized…
Added 1 hour ago
Technical Lead, Google Cloud Storage
Google
Seattle, WA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
Software Engineer, Processor Design Infrastructure, Quantum AI
Google
Goleta, CA
Improve design reproducibility and end-to-end traceability by versioning design libraries and building artifact storage and data pipelines connecting design, fabrication, and test.
Added 2 hours ago
Software Development Engineer, ML Symphony, ML-Symphony
Amazon Data Services, Inc.
Santa Clara, CA
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…

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