Jobs in the United States

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Added 2 mins ago
Senior Data Engineer, Data Analytics
Agility Robotics
Remote, United States
We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you’ll work closely with robotics…
Added 2 mins ago
Software Engineer II - XMD
Qualtrics
Seattle, WA
…exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform - we are the creators and stewards of the Experience…
Added 4 mins ago
Facility Controls Engineer
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PA
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Added 5 mins ago
Staff Hardware Engineer
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…Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI…
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Senior Systems Engineer
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We are seeking a Senior Systems or Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and…
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Principal System Tests & Diagnostics Engineer
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Sr. IT Windows Engineer
SpaceX
Memphis, TN · Bastrop, TX · Hawthorne, CA · Redmond, WA · Brownsville, TX · Washington, DC
SpaceX is looking for an experienced engineer with deep knowledge and broad experience across Microsoft-based technologies. This employee will be a member of the Information Technology…
Added 7 mins ago
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Software Engineer
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- $91,000 to $118,000 USD / year
…existing, customized software application to bring transparency, automation, and intelligence for internal Cotiviti…
Added 8 mins ago
Mechanical Engineer
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Added 13 mins ago
Senior Staff Compiler Software Engineer
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Remote, United States
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Added 14 mins ago
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Senior Software Engineer, Autonomous Systems
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Palo Alto, CA
- $145,000 to $275,000 USD / year
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Added 16 mins ago
Senior Data Engineer
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Added 17 mins ago
Senior Full Stack Engineer
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…business and clients forward. We’re seeking a Senior Full Stack Engineer who brings strong technical judgment, practical problem-solving, and a commitment to building reliable…
Added 18 mins ago
Mobile Engineer II, Android
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This Mobile Engineer (Android) role is part of the Package Shopping team which sits within our Technology division. The team owns package shopping flows and pricing logic for bundled trips…
Added 18 mins ago
Senior Lead Software Engineer - Network Infrastructure and Automation
Nightwing
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At Nightwing, we are on a mission to develop resilient and scalable network infrastructure systems that support critical missions. We're looking for a talented Senior Lead Software Engineer…
Added 18 mins ago
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All Levels: Product Engineer
Hadrian Automation
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- $223,000 to $359,000 USD / year
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Principal Application Software Engineer- Oracle Health
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- $99,600 to $209,500 USD / year
We are seeking a versatile Principal Application Software Engineer to contribute across platform engineering, cloud infrastructure, distributed systems, application development, integration…
Added 18 mins ago
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Senior Application Software Engineer- Oracle Health
Oracle
United States
- $87,000 to $187,000 USD / year
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Added 18 mins ago
IT SOFTWARE ENGINEER 1 - ROBOTIC PROCESS AUTOMATION (RPA)
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Added 18 mins ago
Systems Development Engineer, Deployment and Support, Google Public Sector
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Added 18 mins ago
Sr Security Engineer, Leo Security
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…self-service workflows. You will lead threat modeling and secure-design review on each system before it takes autonomous action, thinking like an adversary to find the weaknesses in agent…
Added 18 mins ago
Senior Full Stack Engineer
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This role will contribute to the design and development of modern, scalable applications that integrate with data governance, metadata, and analytics platforms across the enterprise. This…
Added 18 mins ago
Lead AI Automation Engineer
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Added 19 mins ago
Data Engineer
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…country and assist our clients with critical missions? As a systems security and network security engineer, you can identify the information system security engineering needed to assess…
Added 23 mins ago
Sr. Software Engineer – AI and Automation (Team Breeze)
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Hartford, CT · Atlanta, GA
At Travelers, we're building the future of insurance - and Team Breeze is at the center of that work. This role puts you at the intersection of large language models (LLMs), cloud-native…

Redwood Logistics

Senior Machine Learning Engineer (MLOps)

Remote, United States

$140,000 - $190,000

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Job details

Pay: $140,000 - $190,000
Experience: 5+ years of software or ML engineering experience, with 3+ years focused on MLOps, ML platform engineering, or ML infrastructure in a production environment.
Posting language: English
Posted: Nov 2, 2026

Original job description

Senior Machine Learning Engineer (MLOps)

Reports To: Senior Director of Data Science

Location: Remote (within the U.S.)

Environment: Remote

Status: Exempt, Salaried

Who We Are:

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

Purpose of Your Work:

Redwood Logistics is seeking a Senior Machine Learning Engineer to build and operate the infrastructure that takes ML models from development to production and keeps them performing once they're there. This role is the connective tissue between data science and engineering: you ensure that models built by the data science team are deployed reliably, monitored continuously, retrained systematically, and governed with rigor.

You will own the ML platform layer training pipelines, model registries, serving infrastructure, feature stores, and monitoring systems across a portfolio of models driving freight pricing, load matching, demand forecasting, carrier scoring, and more. This is a deeply technical role that requires equal parts ML knowledge and software engineering discipline.

How You Make a Difference Everyday:

Design, build, and maintain the ML platform data scientists and ML engineers use to train, evaluate, version, and deploy models across the organization.
Develop and maintain model serving infrastructure supporting both real-time (low-latency REST APIs) and batch (large-scale scoring jobs) inference patterns.
Implement safe deployment patterns: canary releases, shadow mode evaluation, A/B testing infrastructure, and rollback mechanisms for production models.
Build comprehensive model monitoring systems that detect data drift, concept drift, prediction distribution shifts, and degradation in business outcomes.
Partner closely with data scientists to understand model requirements, reduce friction to production, and build tooling that gives them leverage.
Work with Product and Engineering to integrate model predictions into product features and operational workflows reliably and at scale.
Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
Own the feature store: design feature pipelines, manage feature definitions, ensure consistency between training and serving environments, and reduce feature engineering duplication across teams.
Collaborate with cross-functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs and assumptions and understand business processes along the way.

You’ve Got This?

MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
5+ years of software or ML engineering experience, with 3+ years focused on MLOps, ML platform engineering, or ML infrastructure in a production environment.
Proven experience owning the end-to-end ML lifecycle in production: training, deployment, monitoring, and retraining at scale.
Strong Python engineering skills; production-grade, tested, maintainable code across ML and data pipelines.
Hands-on experience with at least one major ML platform (MLflow, SageMaker, Vertex AI, Databricks) and pipeline orchestration tool (Airflow, Prefect, Kubeflow).
Solid understanding of machine learning fundamentals, enough to reason about model behavior, evaluation metrics, and the implications of drift.
Experience building CI/CD for ML: automated testing, staging environments, canary deployments, and rollback strategies for models.
Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
Ability to communicate with technical and non-technical stakeholders is a plus
Three years of experience in supply chain, logistics, transportation, or a similar space is a plus.

What We Offer:

Access to experts and resources for your Learning & Development journey
Opportunity for internal mobility
Employee referral bonus program
Employee Resource Groups (ERGs)
Annual fundraising and volunteer events to give back to communities
Paid time off, floating holidays, time off to volunteer and rollover
Paid parental leave
Medical, dental, vision and 401k plans (with match)
Flexible spending account, mass transit and dependent care plans available
Health savings account, with a annual company contribution for plan participants
Short-term and long-term disability; life insurance policies subsidized by company
Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule:

This position is full-time and remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage.

Compensation Range:

Salary Range:

$140,000 - $190,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.

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More about this job

Skills

Machine learning
Logistics
ML
Mlflow
CI/CD
Test automation
Data engineering
Supply chain management

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