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Added 1 hour ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 1 hour ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 1 hour ago
Forward Deployed Engineer
Clera
Remote, United States
- Run product demonstrations, respond to technical objections, and guide architecture discussions with senior stakeholders.
Added 2 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 3 hours ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 3 hours ago
Senior Software Engineer
Braven
Remote, United States
In order to achieve its ambition of serving 80,000-100,000 Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools,…
Added 3 hours ago
Senior Software Engineer
Braven
Remote, United States
In order to achieve its ambition of serving 80,000-100,000 Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools,…
Added 3 hours ago
BN
Senior Infrastructure Engineer - GPU Compute
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale as it becomes a leader in AI. As a Senior Infrastructure Engineer (GPU Compute), you'll build and operate the compute fabric that powers our…
Added 4 hours ago
Senior Application Security Engineer - GenAI Security Evaluation
Gramian Consulting Group
Remote, United States
TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP
Added 5 hours ago
Senior Contract Software Engineer (Data & Platform)
Nimble
Remote, United States
We're looking for a senior contractor to help tackle some of our most challenging data and platform problems. You'll work directly with our engineering team on high-impact projects with…
Added 5 hours ago
Senior Application Security Engineer - GenAI Security Evaluation
Gramian Consulting Group
Remote, United States
TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP
Added 9 hours ago
Senior AI Engineer
Atria Health and Research Institute
Remote, United States
As a Senior AI Engineer at Atria, you will own the design, development, and production deployment of the LLM-powered systems that put AI directly in front of clinicians and members: agentic…
Added 10 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
As a Forward Deployed Engineer, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering…
Added 10 hours ago
AC
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $185,000 to $270,000 USD / year
…observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still…
Added 10 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 10 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 10 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 11 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…patients who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 11 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…patients who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 11 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…patients who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…

Closed listing

Redwood Logistics

Senior Machine Learning Engineer (MLOps)

Remote, United States

$140,000 - $190,000

This opening has closed.

The original listing is kept below for reference.

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About employer

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

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Original job description

Archived listing. The details below describe a past opening.

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.

About employer

More about this job

Skills

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

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