Jobs in the United States

25+ jobs

Added 1 min ago
AWS Python Data Engineer
Infosys
United States
⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Added 1 min ago
AWS Database Engineer
Infosys
United States
⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Added 3 mins ago
Systems Engineer -Machining
Honda Dev. and Mfg. of Am.,LLC
Tallapoosa, GA
The Manufacturing Systems Engineer designs, implements, integrates, and supports manufacturing equipment, automation, industrial controls, production data systems, and traceability…
Added 3 mins ago
Senior Solution Architect, AI & Platform
United States - Genesys Cloud Services, Inc.
CO · TX · GA · CT
Design API and integration architectures spanning RESTful APIs, webhooks, event-driven patterns, authentication, and error handling to connect complex enterprise systems securely and…
Added 4 mins ago
Development Test Engineer, Maritime
Anduril Industries
Quincy, MA · Costa Mesa, CA
We are looking for a Development Test Engineer to join our rapidly growing team Quincy, MA. In this role, you will be responsible for test system bring up and performing hardware testing on…
Added 4 mins ago
TWT Project Engineer
Stellant Systems
Torrance, CA
Stellant Systems Inc. (Stellant) currently has an opportunity for an onsite Project Engineer to join the Space Traveling Wave Tube (TWT) group at our Torrance, California location.…
Added 6 mins ago
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Mechanical Engineer
Actalent
Nashua, NH
- $110,000 to $130,000 USD / year
Job Title: Mechanical EngineerJob DescriptionThis Mechanical Engineer role focuses on designing and developing automated mechanical equipment and purification systems using SolidWorks,…
Added 6 mins ago
Mechanical Design Engineer
Actalent
Raleigh, NC
NOW HIRING: Mechanical Design EngineerWe are seeking an experienced Mechanical Design Engineer to support the design, development, validation, and release of industrial Ethernet networking…
Added 6 mins ago
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Embedded Software Engineer
Actalent
Phoenix, AZ
- $50 to $65 USD / hour
Troubleshoot hardware and software integration issues throughout the development lifecycle.
Added 6 mins ago
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Embedded Software Engineer
Actalent
Kansas City, KS
- $41 to $51 USD / hour
Embedded Software EngineerJob DescriptionThe Embedded Software Validation Engineer validates, verifies, and tests embedded vehicle control software for both new and existing products. This…
Added 7 mins ago
Rear Closures KBE Engineer
Stefanini Group
Auburn Hills, MI
We are seeking Rear Closures KBE Engineer who will be responsible for the design, development, validation, and production launch of automotive rear closure systems, including liftgates,…
Added 8 mins ago
Engineer I - Distribution
Qualus
Remote, United States
Power your Future with Qualus as an Engineer I in our Distribution department, and become a part of our dynamic team! The Engineer I is an integral team member, collaborating closely with…
Added 9 mins ago
Rear Closures KBE Engineer
Stefanini Group
Auburn Hills, MI
We are seeking Rear Closures KBE Engineer who will be responsible for the design, development, validation, and production launch of automotive rear closure systems, including liftgates,…
Added 10 mins ago
Full Stack Engineer 181475
CTI Consulting
westlake, TX
…object-oriented design, coding standards, RESTful service consumption and integration, common design patterns, secure application development, and test…
Added 17 mins ago
Software Engineer [Multiple Position Available]
JPMC page
Tampa, FL
…Java, SpringBoot, Microservices, and ReactJS for front-end development; working with Dodd-Frank regulatory requirements and domestic and cross-border payment clearing systems to drive key…
Added 20 mins ago
Automation Engineer
Lhoist North America of Arizona, Inc.
NV
POSITION SUMMARY: The Automation Engineer is responsible for developing, maintaining and supporting process network and control systems for the Lhoist Apex Plant (mining and manufacturing)…
Added 20 mins ago
Product Assurance Engineer
Teledyne FLIR Maritime US, Inc.
Jupiter, FL · Field, WI
We are seeking a highly motivated Product Assurance & Design Verification Engineer to join our Marine Electronics Product Development team, based in Jupiter, Fl. This role combines Product…
Added 21 mins ago
Principal Machine Learning Engineer
CVS Shared Services Resources LLC
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 21 mins ago
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Senior Software Engineer
SimpliSafe
Boston, MA
- $117,300 to $156,400 USD / year
5+ years of professional software development experience
Added 24 mins ago
Process Engineer I, Manufacturing
PPC Partners Inc
Greer, SC
Research and evaluate emerging technologies, software tools, and construction methodologies to identify process improvement opportunities that align with business goals.
Added 27 mins ago
Senior Firmware Engineer
Renesas Electronics
Austin, TX
Renesas Electronics America is seeking a Senior Firmware Verification Engineer to join the Infrastructure Power team. This role owns pre-silicon verification of embedded firmware used to…
Added 28 mins ago
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Hydraulic Engineer
AECOM
Franklin, TN
- $70,000 to $100,000 USD / year
AECOM has a position available for a Hydraulic Engineer to join our Transportation Business Line supporting large multi-year projects located in Franklin. TN.
Added 29 mins ago
Rear Closures KBE Engineer
Stefanini Group
Auburn Hills, MI
We are seeking Rear Closures KBE Engineer who will be responsible for the design, development, validation, and production launch of automotive rear closure systems, including liftgates,…
Added 34 mins ago
Staff Software Engineer, Space Special Programs
Anduril Industries
Chantilly, VA
We are looking for a Staff Software Engineer to join our rapidly growing team in Chantilly, VA. In this role, you will be responsible for implementation of the full lifecycle of flight…
Added 34 mins ago
Software Engineer, Space Special Programs
Anduril Industries
Chantilly, VA
Help drive development, integration and test activities to meet schedule

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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