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Remote Senior Machine Learning Engineer Jobs in Minnesota

Horizontal Talent

Sr. IT Analyst

New Ulm, MN · Remote

$40 - $76/hr

Join our team as a Sr. IT Analyst and play a pivotal role in advancing healthcare solutions through ... engineering, with a focus on machine learning production environments. * Strong proficiency in ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Target

Sr Engineer - Interactive Compute

Minneapolis, MN · On-site +1

$98K - $176K/yr

As a Senior Engineer on the Machine Learning Platform team, you will develop new capabilities to support Data Scientists and other users at Target. You will gain insights into application ...

UnitedHealth Group

Senior Software Engineer

Minnetonka, MN · Remote

$91K - $163K/yr

As a Sr. Software Engineer on the CE Payments team, you will be at the forefront of designing and ... machine learning tools, to deliver secure, intelligent solutions that strictly protect PHI, PII ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

As a Senior AI/ML Engineer, you will design and build advanced machine learning and generative AI solutions that power enterprise applications and decision systems. You will work on large language ...

CSAA

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... senior escalation point for complex production issues involving AI platforms, machine learning ...

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Remote Senior Machine Learning Engineer information

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Minnesota? For Remote Senior Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Senior Machine Learning Engineer jobs? Cities in Minnesota with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Sr. IT Analyst

Sr. IT Analyst

Horizontal Talent

New Ulm, MN • Remote

$40 - $76/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

Join our team as a Sr. IT Analyst and play a pivotal role in advancing healthcare solutions through cutting-edge technology and data science. Your expertise will help shape the future of healthcare by integrating innovative machine learning models into clinical applications.

Responsibilities
  • Develop and manage CI/CD pipelines to ensure seamless machine learning model deployment and automated testing.
  • Deploy machine learning models as scalable APIs and microservices, ensuring they meet clinical performance standards.
  • Implement monitoring tools to track model performance and system health in production environments.
  • Design and optimize ETL processes to transform healthcare data into actionable datasets for model training.
  • Collaborate with backend teams to integrate machine learning outputs into core healthcare applications.
  • Write clean, maintainable code and engage in code reviews to uphold system reliability.
  • Utilize containerization tools to securely manage ML workloads across various environments.
Skills
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 3-5 years of professional experience in software or data engineering, with a focus on machine learning production environments.
  • Strong proficiency in Python and familiarity with SQL; knowledge of a compiled language is a plus.
  • Hands-on experience with major cloud providers and containerization technologies.
Preferred Skills
  • Experience with ML libraries and MLOps tools.
  • Familiarity with data processing frameworks and deploying Large Language Models.
  • Understanding of API design and microservices architecture.

At Horizontal, we are committed to fostering an inclusive environment where diverse backgrounds and perspectives are valued. We encourage individuals from all walks of life to apply and contribute to our mission of improving healthcare through technology.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $76 per hour based on qualifications and experience.

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