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Manager Remote Machine Learning Jobs (NOW HIRING)

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Comfortable setting up and managing distributed computing environments * Experience in designing ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... management and artificial intelligence platform for maritime domain awareness. Spear AI is a ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Perfict

Machine Learning Engineer

... in managing machine learning projects end-to-end, with the last 18 months focused on MLOps • Strong programming skills, preferably in languages like Python, Java, or Scala • Proficiency in ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Work closely with software engineers, data scientists, and product managers to integrate ML models ...

Spear AI

Machine Learning Engineer

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.

OmegaHires

AI / Machine Learning Roles (Remote, USA)

$87 - $117/hr

AI / Machine Learning Roles (Remote, USA) Location: Remote, USA Employment type: Contract ... Experience in financial services or asset management * Knowledge of document processing and ...

New

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Experience with managing the full model production lifecycle, including deployment, release, and ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Hands-on experience implementing ML models using a managed service (for example, Vertex AI or ...

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Manager Remote Machine Learning information

See salary details

$31K

$77.4K

$130K

How much do manager remote machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for manager remote machine learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Remote Machine Learning vs Data Scientist?

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

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Manager Remote Machine Learning jobs near you
Infographic showing various Manager Remote Machine Learning job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.

Machine Learning Engineer

Burlington, MA • Remote

MatrixSpace
Computer Networking • 11 - 50 employees
Learn more about MatrixSpaceexternal

$165K - $200K/yr

Full-time

Re-posted 4 days ago

Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.