Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
IC
Module Development Engineer - LTD Dry Etch
Intel Corporation
OR
- $115,110 to $219,550 USD / year
You will operate in a high impact space, partnering closely with cross functional teams (Process Integration, Manufacturing, Equipment Engineering, Yield/Defect Engineering, and suppliers)…
Added 18 mins ago
Interoperability Engineer I / II / SR (Workday/UKG)
Jobgether
Remote, United States
The Interoperability Engineer will design, develop, and maintain enterprise integration solutions that enable secure and reliable data exchange across complex technology environments. This…
Added 29 mins ago
DE
Sr Product Software Engineer
Disney Entertainment & Sports LLC
New York, NY · Seattle, WA
- $148,700 to $199,400 USD / year
Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is…
Added 30 mins ago
Principal Site Reliability Engineer (Vehicle Engineering)
SpaceX
Bastrop, TX
We are looking for a Principal Site Reliability Engineer who wants to own everything from Linux machines and our Infrastructure as Code, storage, and user facing applications – the whole…
Added 30 mins ago
Sr. Systems Integration/Test Engineer
Lockheed Martin
Grand Prairie, TX
The candidate must have knowledge of electrical engineering in the areas of digital, analog, radio frequency circuit designs or electronic components
Added 30 mins ago
Senior Systems Integration Test Engineer
Lockheed Martin
Grand Prairie, TX
We're looking for a seasoned and collaborative Integration, Test, and Evaluation Engineer Lead to join our team. As an ideal candidate, you have a strong background in system integration…
Added 30 mins ago
Associate Manager, Systems Integration
Lockheed Martin
Grand Prairie, TX
We're looking for a seasoned and collaborative Integration, Test, and Evaluation Engineer Lead to join our team. As an ideal candidate, you have a strong background in system integration…
Added 30 mins ago
Manufacturing Robotics Engineer Stf
Lockheed Martin
Grand Prairie, TX
You will serve as a technical lead for complex automation projects, owning engineering activities across the full development lifecycle - from feasibility studies and automation assessments…
Added 31 mins ago
Senior Software Engineer
7-Eleven
Irving, TX
…MongoDB, or other NoSQL databases. Develop and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing and deployment. Integrate with external APIs and…
Added 31 mins ago
Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Conduct root cause analysis to address systemic issues and lead action plans
Added 31 mins ago
S
Sr. Building Automation Design Engineer - PLC Controls
Siemens
Fort Worth, TX · Dallas, TX
- $66,259 to $113,587 USD / year
Candidate must live one hour away from a major airport and will be required to travel periodically to a project sites
Added 32 mins ago
Workday Technical Analyst
Houston Methodist
Houston, TX
At Houston Methodist, the Workday Technical Analyst position is responsible for the design, configuration, integration, and ongoing support of the Workday platform to meet complex and…
Added 32 mins ago
CSV Engineer Lead
Kelly Services
Houston, TX
These positions will lead computer system validation activities for automation and computerized systems across a new pharmaceutical manufacturing campus, including small molecule…
Added 32 mins ago
Principal, Energy Consulting - Energy Data Management Consultant
EPAM Systems
Houston, TX
…governance, metadata management, document management, data integration, data…
Added 32 mins ago
Robotics Systems Field Engineer , RIVR
Amazon
Austin, TX
● Lead the operational readiness and optimization of RIVR's deployed robots, ensuring seamless integration across diverse sites.
Added 32 mins ago
Java Engineer
Charles Schwab
Austin, TX
The Enhanced Client Verification Team is seeking a Manager, Software Development and Engineering to lead the development and support of scalable, reliable, and secure Java-based web…
Added 54 mins ago
Senior Platform Engineer, APIs & Workflow Automation
Bask Health
Remote, United States
This is a hands-on senior engineering role for someone who enjoys working across different systems, solving complex integration challenges, and designing architecture that other engineers…
Added 54 mins ago
Senior Forward Deployed Engineer, Merchant Solutions
Bask Health
Remote, United States
We're looking for a Senior Forward Deployed Engineer, Merchant Solutions to help merchants successfully implement and operate their businesses on Bask Health.
Added 54 mins ago
Head of Applied AI
Bask Health
Remote, United States
…AI-powered products, understands the challenges of operating AI systems in production, and can lead engineers while remaining deeply involved in technical…
Added 54 mins ago
Senior Software Development Engineer (Full Stack)
Voxology, Inc.
Remote, United States
…platform brings together APIs, dashboards, and orchestration systems that help organizations power mission-critical voice and messaging experiences with reliability and…
Added 57 mins ago
II
Senior AI Engineer - Agentic AI & Data Intelligence
iShare Inc
Houston, TX
- $40 to $50 USD / hour
We are seeking an experienced Senior AI Engineer to lead the strategy, development, evaluation, and delivery of next-generation AI products focused on Agentic AI, Generative AI, and…
Added 1 hour ago
Hardware Systems Test Engineer, Networking, Platforms Infrastructure Engineering
Google
Sunnyvale, CA
…powering next-generation system platforms. As a Hardware Test Engineer within PIE, you will lead the validation, bring-up, and qualification of complex hardware systems from early design…
Added 1 hour ago
WD
Lead Software Engineer
Walt Disney Attractions Technology LLC
Bay Lake, FL
- $150,500 to $201,800 USD / year
The Lead Software Engineer will have responsibilities within the Disney Experiences (DXT) team that manages technical delivery for products within the Connected Products team across all DX.…
Added 1 hour ago
DW
Lead Quality Assurance Engineer
Disney Worldwide Services, Inc.
Orlando, FL
- $137,200 to $184,000 USD / year
As a Lead Software Development Engineer in Test the position is responsible for having a strong focus leading a product from conception to delivery quickly and efficiently with a high level…
Added 1 hour ago
DW
Staff Software Engineer – EPM Engineer
Disney Worldwide Services, Inc.
Burbank, CA
- $158,100 to $211,900 USD / year
The P4 Sr. Software Engineer is a Staff-level technical leader responsible for the architecture, technical direction, and end-to-end reliability of the Oracle EPM applications used across…

CVS Health

Principal Machine Learning Engineer

New York, NY, United States

$144,200.00 - $288,400.00

Apply on usnlx.com 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 on usnlx.com About employer

Report this job

Work requirements

Jobs in the United States