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Remote Machinist Jobs in Minnesota (NOW HIRING)

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 ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Showing results 21-40

Remote Machinist information

See Minnesota salary details

$14

$25

$35

How much do remote machinist jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote machinist in Minnesota is $25.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.03 per hour, depending on experience, location, and employer.

What is a remote machinist?

A Remote Machinist operates CNC or manual machining equipment from a remote location, often using CAD/CAM software, cloud-based monitoring systems, and remote programming tools. Responsibilities may include designing, programming, and troubleshooting machining processes while collaborating with on-site teams. This role is common in industries utilizing automated or remotely managed manufacturing processes, such as aerospace, defense, and prototyping.

What are the key skills and qualifications needed to thrive as a remote machinist?

To thrive as a Remote Machinist, you need strong skills in CNC machine operation, interpreting technical drawings, and precise measurement, usually backed by a relevant apprenticeship or technical certification. Experience with CAD/CAM software, remote machine monitoring systems, and familiarity with programming machine tool paths are often required. Exceptional problem-solving, self-motivation, and effective communication are valuable soft skills in this position. These competencies help ensure high-quality production, efficient workflow, and seamless collaboration with remote teams in a distributed manufacturing environment.

How does a remote machinist typically collaborate with on-site teams or supervisors?

Remote Machinists usually work closely with on-site teams and supervisors through digital communication platforms such as email, video calls, and specialized manufacturing management software. They may receive digital work orders, share progress updates, or report quality issues in real time, ensuring projects stay on track. Effective remote machinists proactively clarify specifications and ask questions to minimize errors and reduce downtime. This collaborative approach allows for smooth coordination, faster troubleshooting, and successful completion of production goals even when working from different locations.

Are remote machinists still in demand?

Remote machinists are in steady demand due to ongoing manufacturing needs and the increasing use of digital tools like CAD/CAM software. Skills in precision machining, programming, and familiarity with CNC machines remain valuable, and remote work opportunities are growing as companies adopt flexible work arrangements.

What are the most commonly searched types of Machinist jobs in Minnesota?

The most popular types of Machinist jobs in Minnesota are:

What are popular job titles related to Remote Machinist jobs in Minnesota?

For Remote Machinist jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Remote Machinist jobs?

Cities in Minnesota with the most Remote Machinist job openings:

Infographic showing various Remote Machinist job openings in Minnesota as of August 2026, with employment types broken down into 5% Internship, 84% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,215 per year, or $25.1 per hour.

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.

Qualifications:

  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:

  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:

  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.