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Threading Operator Jobs in Washington (NOW HIRING)

GRVTY

Software Engineer/CNO Developer

Sterling, VA

Applications developed will vary from stand-alone scripts to complex, multi-threaded client ... Familiarity with running/operating/debugging in a Linux environment. OS Internals(Windows/Linux ...

B. Frank Joy LLC

Pipefitter

Halethorpe, MD · On-site

Thread pipe by using a threading machine or hand threader. * Assemble and install a variety of ... Operating a motor vehicle, crane, tractor, etc. Yes X Other: Fresh Air Mask/Confined Space Yes X ...

GRVTY

Software Engineer/CNO Developer

Sterling, VA · On-site

... multi-threaded client / server architectures. • Successful candidates will be strong engineers ... Preferred : • Familiarity with running/operating/debugging in a Linux environment. • OS ...

Dexterra

HVAC Mechanic

Beltsville, MD · On-site

$24.50 - $33.50/hr

Cuts and threads pipe using machine-threading or hand-threading equipment * Joins tubing or pipes ... operating pressure * Observes pressure and vacuum gauges and adjusts controls to ensure proper ...

Dexterra

HVAC Mechanic

Beltsville, MD · On-site

$24.50 - $33.50/hr

Cuts and threads pipe using machine-threading or hand-threading equipment * Joins tubing or pipes ... operating pressure * Observes pressure and vacuum gauges and adjusts controls to ensure proper ...

CMI Management

HVAC Mechanic

Beltsville, MD

$24.50 - $33.50/hr

Cuts and threads pipe using machine-threading or hand-threading equipment * Joins tubing or pipes ... operating pressure * Observes pressure and vacuum gauges and adjusts controls to ensure proper ...

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Threading Operator information

What is the difference between Threading Operator vs Sewing Machine Operator?

AspectThreading OperatorSewing Machine Operator
Required CredentialsHigh school diploma, training in threading techniquesHigh school diploma, sewing certification often preferred
Work EnvironmentFactories, textile plants, manufacturing facilitiesGarment factories, textile mills, production lines
Industry UsageTextile manufacturing, apparel productionClothing, upholstery, textile industries
Job FocusPrecise threading of machinery to ensure smooth operationOperating sewing machines to assemble products

The main difference between a Threading Operator and a Sewing Machine Operator lies in their focus. The Threading Operator specializes in threading and maintaining machinery, ensuring smooth operation, while the Sewing Machine Operator handles the actual sewing process to produce finished textile products. Both roles are essential in textile manufacturing but require different skills and responsibilities.

What are some common challenges a Threading Operator might face, and how can they be addressed?

Threading Operators often encounter challenges such as maintaining precision under time constraints, handling equipment malfunctions, and ensuring safety while working with heavy machinery. Addressing these challenges involves regular machine maintenance, adhering strictly to safety protocols, and developing strong attention to detail. Collaborating with maintenance teams and participating in ongoing training can also help operators stay up-to-date with best practices and improve efficiency on the production floor.

What are the key skills and qualifications needed to thrive as a Threading Operator, and why are they important?

To excel as a Threading Operator, you need mechanical aptitude, attention to detail, and a high school diploma or equivalent, often with experience in manufacturing or machining. Familiarity with threading machines, measuring instruments (like micrometers and gauges), and safety protocols is typically required. Strong problem-solving abilities, teamwork, and effective communication are valuable soft skills in this role. These competencies ensure precise threading, adherence to quality standards, and safe, efficient production processes.

What are Threading Operators?

Threading Operators are skilled workers who operate machines designed to cut or form threads on materials such as pipes, bolts, or metal rods. They set up, adjust, and monitor threading machines to ensure precision and quality in the finished product. Their responsibilities also include inspecting finished threads for accuracy, performing routine maintenance on equipment, and following safety protocols. Threading Operators are essential in industries like manufacturing, construction, and oil and gas, where threaded components are widely used.
What are popular job titles related to Threading Operator jobs in Washington? For Threading Operator jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Threading Operator jobs in Washington look for? The top searched job categories for Threading Operator jobs in Washington are:
What cities in Washington are hiring for Threading Operator jobs? Cities in Washington with the most Threading Operator job openings:
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Infographic showing various Threading Operator job openings in Washington as of June 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 100% In-person job distribution.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Xometry

North Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner's ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality.
Responsibilities
  • Lead with technical depth - Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives.
  • Own the Partner integration AI/ML plane - Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be responsible for designing the real-time ML serving architecture and the low-latency signal path that delivers DFM and pricing feedback directly into the designer's environment. This includes defining the data contracts for model inputs/outputs and implementing the MLOps, governance, and observability required for a mission-critical, public-marketplace partner integration.
  • Build for scale - Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure.
  • Solve ambiguous problems - Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives.
  • Set the Standard - Proactively surface opportunity areas, take ownership of new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives.
  • Champion quality and security - Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems.
  • Collaborate broadly - Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions.
  • Mentor and elevate - Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team.
  • Stay current - Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice.

Qualifications
  • Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
  • Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and
    reusability.
  • Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting.
  • Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar.
  • Solid grounding in software engineering fundamentals, data structures, and algorithms.
  • Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines.
  • Proficiency with CI/CD pipelines (e.g., Github actions),test driven development, and infrastructure as code (e.g., Terraform).
  • Experience profiling and optimizing existing ML model deployments for latency and throughput.
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and
    business audiences.
  • Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI.
  • Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems.
  • Background in manufacturing, supply chain, or marketplace environments is a plus - but curiosity and drive matter more.

The estimated base salary range for new hires into this role is $200,000-$220,000.00 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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