Remote jobs in the United States

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Added 5 mins ago
Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Derex Technologies Inc
Remote, United States
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest…
Added 28 mins ago
Solution Engineer
INTEGRATION APPLIANCE, INC.
Remote, United States
The Solution Engineer plays a critical role within Intapp’s Services Delivery team, focused on the implementation of Intapp solutions within client environments. This role combines strong…
Added 32 mins ago
Senior Integration Engineer
Equs, Inc.
Remote, United States
This role calls for 4 or more years in a customer-facing technical role such as solutions engineer, integration engineer or technical consultant for an API or identity product. You’ve…
Added 40 mins ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
Join a team delivering AI and automation solutions directly into customer environments. You will own deployments from workflow discovery through go-live, helping operational teams improve…
Added 40 mins ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Strong programming skills in Go, Rust, Python, Java, or C++.
Added 40 mins ago
TT
Full-Stack Engineer, AI Agents
True Talent Solutions Partners
Remote, United States
- $5,000 to $9,000 USD / month
- Production experience with React, Next.js, Supabase, and Python.
Added 42 mins ago
CrowdStrike Platform Resident Consultant (Remote)
CrowdStrike, Inc.
Remote, United States
Utilize and engineer native and 3rd party software deployment technologies
Added 49 mins ago
Principal AI Security Engineer
Kyndryl, Inc.
Remote, United States
Kyndryl is seeking a Principal AI Security Engineer to secure internal AI solutions, agents, copilots, model platforms, and frontier AI capabilities. This hands-on senior technical role…
Added 1 hour ago
IG
Cloud Engineer (Remote)
Insight Global
Remote, United States
- From $71 USD / hour
Insight Global is seeking a Senior Cloud Engineer to support the design, implementation, automation, and ongoing support of cloud infrastructure within an AWS environment. This individual…
Added 1 hour ago
Cloud Security Engineer
Secur-Serv
Remote, United States
The Cloud Security Engineer will provide technical expertise, strategic guidance, and hands-on support to clients implementing and managing cloud security solutions and integrations.…
Added 1 hour ago
RH
Data Engineer
Robert Half
Remote, United States
- $80 to $100 USD / hour
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will…
Added 1 hour ago
SI
Senior Software Engineer
Skyward IT Solutions, LLC
Remote, United States
- $120,000 to $150,000 USD / year
Inquisitive: We remain students by failing openly and turning lessons into solutions.
Added 1 hour ago
Senior Data Engineer
Datavail Corporation
Remote, United States
8+ years in data engineering/data warehousing; 3+ years delivering Azure solutions and production
Added 1 hour ago
BV
Conversational AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Conversational AI Engineer with 10+ years of software engineering experience, including extensive expertise in Large Language…
Added 1 hour ago
BV
Connected Systems Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
We are seeking a highly experienced Connected Systems Engineer with 10+ years of experience designing, developing, and deploying connected, data-driven industrial systems that integrate…
Added 1 hour ago
BV
Systems Reliability Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Added 1 hour ago
BV
Microsoft Azure Specialist
Bright Vision Technologies
Remote, United States
- $150,000 to $190,000 USD / year
Microsoft Certified: Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or other advanced Azure certifications.
Added 1 hour ago
BV
Autonomous Learning Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Autonomous Learning Engineer with 10+ years of experience in Artificial Intelligence, Reinforcement Learning (RL), and Deep…
Added 1 hour ago
BV
AI Platform Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $180,000 USD / year
…development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization…
Added 1 hour ago
BV
NLP AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced NLP AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP)…
Added 1 hour ago
Semiconductor Systems Engineer
Bright Vision Technologies
Remote, United States
Bright Vision Technologies is seeking a highly experienced Semiconductor Software Engineer with 10+ years of industry experience to design, develop, and optimize software, firmware, and…
Added 1 hour ago
BV
Staff Applications Engineer
Bright Vision Technologies
Remote, United States
- $150,000 to $190,000 USD / year
We are seeking a highly experienced Staff Applications Engineer with 10+ years of professional software engineering experience to provide deep technical leadership across multiple…
Added 1 hour ago
BV
Applied AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Applied AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning to design,…
Added 1 hour ago
BV
Cloud Infrastructure Engineer – AWS
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
AWS Certified Solutions Architect – Professional, AWS DevOps Engineer – Professional, or equivalent advanced AWS certifications.
Added 1 hour ago
Lead Engineer, Order Management
Stitch Fix
Remote, United States
As a Lead Engineer on the Order Management team, you will help set the technical direction for the systems that power checkout, order creation and lifecycle management, fulfillment…

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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