Jobs in the United States

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T-Mobile Retail Sales Associate SHIPPENSBURG | Shippensburg Shopping Ctr
Arch Telecom
Shippensburg, PA
- $10 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate MCCONNELLSBURG | S 2nd St
Arch Telecom
McConnellsburg, PA
- $10 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate ELDERSBURG | Liberty Rd
Arch Telecom
Eldersburg, MD
- $15 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate PALMYRA | E Main St
Arch Telecom
Palmyra, PA
- $10 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate HANOVER | Carlisle St
Arch Telecom
Hanover, PA
- $10 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate BALTIMORE | E Monument St
Arch Telecom
Baltimore, MD
- $15 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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T-Mobile Retail Sales Associate WAYNESBORO | E Main St
Arch Telecom
Waynesboro, PA
- $10 to $30 USD / hour
…and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a…
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Strategic Account Executive - Southeast
Tines
Remote, United States
Partner closely with our Technical Sales Engineering team throughout the sales cycle
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Enterprise Customer Success Manager (US)
Easol
NY
- $100,000 to $120,000 USD / year
…retained, actively using Easol and view you as a trusted strategic partner who understands both their business and the…
Added 1 min ago
Sales & Operations Analytics Specialist
VieMed
Lafayette, LA
Partner with the Sales & Operations Analyst to build automated workflows (e.g., email drafts, data checks) that reduce manual effort.
Added 1 min ago
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Hwy Construction Technician I/II - Sidney
State of Nebraska
Sidney, NE
- $20.39 to $23.45 USD / hour
Please reach out to Tessa, Talent Acquisition Partner, at (402) 419-3192, if you have questions or to learn more.
Added 1 min ago
Director, Cross Segment Platform Engineering
Humana Inc.
Louisville, KY · Dallas, TX · Frisco, TX
The Director will partner closely with business and technology leaders across Customer Service, Provider Services, Operations, Digital, Data & Analytics, and Enterprise Technology to…
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Relationship Banker
Old National Bank
Arden Hills, MN
- $17 to $29.75 USD / hour
…powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility…
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Analyze and interpret market and economic trends and partner with marketing to implement short- and long-range leasing strategies to achieve occupancy and revenue goals
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Accurately assess patients for hospice care, learning needs, and track progress toward goals.
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Director of Instructional Practices
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New York, NY
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Dental Assistant
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Sarasota, FL
Partner with the doctors, hygienists, Operations Leaders and support staff to maintain excellent patient service and integrity within the organization.
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Operations Leader - Full Time
Sephora
Charlotte, NC
- $24 to $27.5 USD / hour
- Full-time
Support client experience Partner with the team to deliver exceptional service and contribute to achieving store goals
Added 3 mins ago
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Walmart Inc.
United States
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Added 3 mins ago
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United States
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Makerspace Assistant Library
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Senior Account Manager - Visualization and Data Solutions
Thermo Fisher Scientific
MA · CA · FL · NJ · NY · OR · PA · TX
Partner with Product Application Specialists to deliver technical demonstrations, workshops, and seminars tailored to customer needs.
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Leadership Development Manager - Business Specialization
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Partner with instructional design and facilitation experts to develop and implement leadership development solutions that align with business requirements and learning objectives

Principal Machine Learning Engineer

NY, United States

$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.

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Job details

Pay: $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.
Apply by: Nov 29, 2026
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.

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.

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