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Remote Boring Machine Operator Jobs in Hempstead, NY

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with building and operating production-ready ML systems * Ability to lead design and ...

Remote Field Service Technician III

New York, NY · On-site +1

$33.32 - $43.22/hr

... machinery. The Remote Field Service Technician will perform field-related preventative maintenance and routine repairs on all DEUTZ products and Non-DEUTZ Construction Equipment operating within the ...

Be Seen First

Fully remote Start Date: Immediately BACKGROUND We are a low-profile, value-oriented holding ... Main responsibilities are to assist the Investment Team and the COO across all aspects of private ...

We are also open to remote candidates across the US. What You'll Do * Support sourcing projects for ... A self-starter mentality with a bias toward action; comfortable operating with limited oversight in ...

We are also open to remote candidates across the US. What You'll Do * Support sourcing projects for ... Adult life shouldn't be boring, prioritize your work/life balance, we can build a world-class ...

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Remote Boring Machine Operator information

See Hempstead, NY salary details

$15

$21

$31

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

As of Sep 6, 2026, the average hourly pay for remote boring machine operator in Hempstead, NY is $21.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.50 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.

What are popular job titles related to Remote Boring Machine Operator jobs in Hempstead, NY?

For Remote Boring Machine Operator jobs in Hempstead, NY, the most frequently searched job titles are:

What job categories do people searching Remote Boring Machine Operator jobs in Hempstead, NY look for?

The top searched job categories for Remote Boring Machine Operator jobs in Hempstead, NY are:

What cities near Hempstead, NY are hiring for Remote Boring Machine Operator jobs?

Cities near Hempstead, NY with the most Remote Boring Machine Operator job openings:

Infographic showing various Remote Boring Machine Operator job openings in Hempstead, NY as of August 2026, with employment types broken down into 43% Full Time, 55% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,781 per year, or $21.5 per hour.

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment

NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 5 days ago


Job description


A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.
This opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
Required Skills & Experience
  • 5+ years of software engineering experience
  • Strong Python development experience
  • Production MLOps experience
  • Expertise deploying machine learning workloads in AWS
  • Experience designing CI/CD pipelines for model deployment
  • Distributed systems knowledge
  • Infrastructure automation experience
  • Monitoring, telemetry, and observability expertise
  • Experience supporting large-scale production environments
Desired Skills & Experience
  • IoT or connected-device experience
  • Kafka, Kinesis, or Flink
  • Health-tech or wearable device experience
  • ML platform engineering
  • Cost optimization within cloud environments
  • Real-time inference systems
  • Startup experience
  • Staff-level engineering experience
What You Will Be Doing
Tech Breakdown
  • 40% AWS Infrastructure
  • 30% Machine Learning Platform Engineering
  • 20% Distributed Systems & Data Pipelines
  • 10% Monitoring & Performance Optimization

Daily Responsibilities
  • 75% Hands On Engineering
  • 10% Architectural Leadership
  • 15% Team Collaboration

The Offer
  • Competitive Salary
  • Substantial Equity
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Equity Participation
  • Paid Parental Leave
  • Life Insurance
  • Remote Flexibility
  • Employee Product Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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