Jobs in the United States

25+ jobs

Added 1 min 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 3 mins ago
Sr. Embedded Software Developer (Humanoid Robotics)
Schaeffler
Troy, MI, MI
We are seeking an experienced Robotics/Actuator Embedded Software Engineer to join our humanoid robotics team. In this role you will own the design, architecture, and delivery of advanced…
Added 4 mins ago
Integration and Data Software Engineer
Integral
Tysons Corner, VA
The Integration and Data Software Engineer sustains and modernizes interfaces, data feeds, and reporting services connecting BOSS, EOAS, DBS, BINCA, and related NCA applications to VA-EISS…
Added 4 mins ago
System Administrator
Integral
Tysons Corner, VA
The System Engineer maintains the availability, access, configuration, and operational continuity of BOSS, EOAS, and Daily Burial Schedule (DBS) while coordinating the transition to VA-EISS…
Added 6 mins ago
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Senior Software Engineer
The Planet Group
Reston, VA
- $80 to $85 USD / hour
As a Senior Software Engineer, you will design, build, test, deploy, and document backend solutions on AWS, including the infrastructure and delivery pipelines that support them. You will…
Added 8 mins ago
Software Engineer [Multiple Position Available]
JPMC page
Tampa, FL
…seven (7) years of experience in the job offered or as Software Engineer, Software Developer, Programmer Analyst, or related…
Added 9 mins ago
System Engineer
CTC Group
McClean, VA
…selected candidates will analyze technical requirements, evaluate system architectures, support IT modernization and integration efforts, and provide engineering guidance to government…
Added 9 mins ago
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Senior II Software Engineer
Akamai
Remote, United States
- $146,400 to $263,600 USD / year
…across engineering teams to establish API standards, improve system performance, and drive fault-tolerant system…
Added 11 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 12 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 12 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 12 mins ago
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Senior Software Engineer
SimpliSafe
Boston, MA
- $117,300 to $156,400 USD / year
Experience writing automated integration and end-to-end tests in Python
Added 13 mins ago
Senior Engineer
Raft Company Website
Fort Bragg, NC
Our product suite, [R]DP (Raft Data Platform), [R]AIMS (Raft AI Mission System), and [R]AP (Raft Application Platform), is being fielded across the U.S. Army and joint force to power data…
Added 18 mins ago
Electrical Systems Embedded Software Engineer
General Dynamics Electric Boat
Groton, CT
Design and develop application software for shipboard systems including integration of the hardware/software of these systems
Added 19 mins ago
Tools & Automation Engineer - Early Career
Apple
Sunnyvale, CA
As an entry-level Tools & Automation Engineer, you will contribute directly to the tools and automated test suites that ensure our diagnostic and repair systems meet Apple’s high standards…
Added 25 mins ago
Lead Software Engineer
Deloitte US
Sacramento, CA
Supporting system integration, defect resolution, performance improvement, and application maintenance activities
Added 25 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 25 mins ago
Software Engineer, Space Special Programs
Anduril Industries
Chantilly, VA
We are looking for a 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 software,…
Added 25 mins ago
Senior Systems Engineer, Ground Maneuver Programs
Anduril Industries
Costa Mesa, CA
…of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of…
Added 25 mins ago
Senior Systems Engineer, Ground Maneuver
Anduril Industries
Costa Mesa, CA
We're hiring the lead systems engineer for a new product that will be fielded across many vehicle types. You'll join early, while the architecture is still taking shape, and carry it…
Added 25 mins ago
Senior Software Engineer, Space Special Programs
Anduril Industries
Chantilly, VA
We are looking for a Senior 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 25 mins ago
Senior Mission Software Engineer
Anduril Industries
Waltham, MA
…of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of…
Added 25 mins ago
Principal Mechanical Engineer, Space Special Programs
Anduril Industries
Chantilly, VA
We are looking for a Principal Mechanical Engineer to join our rapidly growing team in Chantilly, VA. In this role, you will be responsible for the full cycle design for spacecraft and…
Added 25 mins ago
Mission Software Engineer
Anduril Industries
Waltham, MA
…of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of…
Added 26 mins ago
Sr. Manufacturing Engineer - Paint
Rivian
Normal, IL · Social Circle, GA

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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