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Remote Senior Machine Learning Engineer Jobs (NOW HIRING)

Quantiphi, Inc.

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer Experience Level: 3-6+ yrs Work Location: Dallas, TX Role Overview: We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ...

Zillow

Senior Machine Learning Engineer

$163K - $260K/yr

... a Remote position. "Remote" employees do not have a permanent corporate office workplace and ... Who you are As a Senior Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

EvenUp

Senior Machine Learning Engineer

San Francisco, CA · Remote

$196K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

Revecore Technologies

Senior Machine Learning Engineer

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote - USA As a Senior Machine Learning Engineer (individual contributor) at Revecore, you will: Use your expertise in machine learning, exploratory data analysis, and software engineering to ...

Anno.ai

Senior Machine Learning Engineer

$107K - $146K/yr

  • Retirement

  • PTO

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Paradigm Health

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying sophisticated ML models, including GenAI and LLM-based solutions, that optimize clinical trial workflows ...

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Remote Senior Machine Learning Engineer information

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$75.5K

$143.3K

$192K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote senior machine learning engineer in the United States is $143,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,500.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
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Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.

Senior Machine Learning Engineer

Quantiphi, Inc.

Remote

$125K - $165K/yr

Full-time

Re-posted 7 days ago

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We've been recognized with:
  • 17x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Role:Senior Machine Learning Engineer
Experience Level:3-6+ yrs
Work Location:Dallas, TX
Role Overview:
We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our core Python SDK frameworks and Agentic AI capabilities. In this role, you will be responsible for building production-grade tools that empower teams to deploy sophisticated autonomous systems. You will leverage the PyVegas App template and Galileo to deliver scalable solutions, bridging the gap between innovative agentic orchestration and robust, maintainable software architecture.
Key Responsibilities:
  • SDK Framework Development: Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experience.
  • User Support & Maintenance: Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization.
  • Agentic Orchestration: Develop and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal oversight.
  • High-Performance APIs: Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions.
  • CI/CD Automation: Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML tools.
  • Observability & Prototyping: Utilize Galileo for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environments.

Basic Qualifications:
  • Programming & APIs: Mastery of Python and its machine learning ecosystem, with extensive experience building production-ready services via FastAPI.
  • Agentic Frameworks: Proficiency in building and scaling agentic workflows and multi-agent systems.
  • DevOps & CI/CD: Hands-on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distribution.
  • Internal Tooling: Experience working with standardized application templates (e.g., PyVegas) and evaluation platforms like Galileo.
  • Systems Design: Proven ability to design scalable infrastructure and maintain complex software frameworks used by other engineering teams.
  • Strong analytical skills to debug complex SDK interactions and logic loops.
  • Ability to collaborate with cross-functional teams to define requirements for autonomous systems and developer tools.
  • Proven ability to drive high-impact projects from research to production with minimal supervision.

Good to Have:
  • Contributions to open-source Python SDKs or Agentic AI projects.
  • Experience with MLOps practices for the continuous deployment of agentic systems.
  • Familiarity with containerization (Docker/Kubernetes) for deploying FastAPI-based microservices.

What's in it for YOU at Quantiphi:
  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply