ZipRecruiter

Log In

2

Remote Boring Machine Operator Jobs (NOW HIRING)

HealthEdge

Machine Learning Engineer

Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

HealthEdge

Machine Learning Engineer

Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Harnham

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$220K/yr

Remote (with optional hybrid New York) Salary: Salary up to $220,000 THE COMPANY Our client is a ... operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

Document standards, patterns, and best practices for building and operating machine learning ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Plansee Group

Sales Engineer

Charlotte, NC · On-site +1

Conduct training for machine operators, tool pre-setters, engineering and management on ... Boring, Holemaking, Threading, and Milling * Ability to troubleshoot and identify cutting tool ...

next page

Showing results 1-20

People also search for

All JobsBoring Machine Operator JobsRemote Boring Machine Operator Jobs

Remote Boring Machine Operator information

See salary details

$15

$20

$30

How much do remote boring machine operator jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote boring machine operator in the United States is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Remote Boring Machine Operator vs Drilling Machine Operator?

AspectRemote Boring Machine OperatorDrilling Machine Operator
CredentialsTypically requires specialized certifications in boring and excavationRequires drilling certifications and safety training
Work EnvironmentWorks remotely on large-scale boring projects, often underground or at construction sitesOperates drilling equipment on construction sites, oil fields, or mining locations
Industry UsageCommon in tunneling, infrastructure, and underground constructionUsed in oil & gas, mining, and construction industries

The Remote Boring Machine Operator and Drilling Machine Operator roles share similarities in certifications and work environments, but differ mainly in project scope and industry focus. Remote Boring Machine Operators typically work on underground tunneling projects requiring specialized skills, while Drilling Machine Operators focus on surface drilling tasks in various industries.

More about Remote Boring Machine Operator jobs
What cities are hiring for Remote Boring Machine Operator jobs? Cities with the most Remote Boring Machine Operator job openings:
What are the most commonly searched types of Boring Machine Operator jobs? The most popular types of Boring Machine Operator jobs are:
What states have the most Remote Boring Machine Operator jobs? States with the most job openings for Remote Boring Machine Operator jobs include:
What job categories do people searching Remote Boring Machine Operator jobs look for? The top searched job categories for Remote Boring Machine Operator jobs are:
Remote Boring Machine Operator jobs near you
Infographic showing various Remote Boring Machine Operator job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $43,062 per year, or $20.7 per hour.
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Job Description
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

Apply