Sifter Machine Uses Jobs in Usa

Job Category: Operations - Machine Operator

Requisition Number: CNCMA001704

Posted: June 10, 2025

Full-Time

On-site

Hourly Range: $16.34 USD to $24.50 USD

Rate: $20 USD per hour

Location: Lithia Springs, GA 30122, USA

This position is responsible for setting up and operating CNC machining centers, mills, lathes, and router equipment. The Machine Operator produces quality product according to precise specifications within time constraints. At some locations, this position will also include general warehouse duties such as shipping and receiving. In this position, the employee will work with moderate supervision.

• Sets up and operates production machinery such as CNC saws, lathes, milling machines, drills, shapers, boring mills and grinders to fabricate and repair parts and products. Works with some guidance from supervision.
• Reading and Interpreting Documentation and Product Quality - Reads and interprets blueprints, sketches, and parts lists. Studies and interprets assembly instructions and verifies specifications. Conducts dimensional and visual part inspections to prints and specifications using standard quality assurance inspection equipment.
• Responsible for maintenance of equipment - Completes preventative maintenance, troubleshoots malfunctions, and performs minor repairs as needed. Communicates errors in product, equipment, and other issues that may arise in fulfilling orders.
• Performs general warehouse duties - Fills orders in a timely manner by operating warehouse equipment and machinery including operating a forklift, computing and optimizing yields, and cutting material to size. Loads and unloads delivery trucks as needed, using SAP to receive and ship materials. Processes operational activities in SAP through work orders and prepares proper documentation including transfer orders, bills of lading, delivery notes, work orders, call tags for non-conforming material and others as required.
• Problem solving and Communication - Resolves assembly and production issues and communicates errors in the product line, equipment and or issues in fulfilling orders.
• Safety and Continuous Improvement - Participates actively in Continuous Improvement activities and submits ideas to help drive improvement. Ensures the workplace and environment are clean and safe. Follows Company Safety policies and procedures and looks for ways to improve safety.
• Performs other duties as assigned.

• Detail Orientation
• Multi Tasking
• Sense of Urgency & Work Ethic
• Creativity & Innovation
• Communication Skills
• Process Improvement & Best Practices

High School or better.

Technical/other training or better.

2 years: CNC Setup and Operation in a machine shop environment

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Status:

Joining Collins Aerospace isn’t just about finding a job; it’s about embarking on a journey to redefine the future of aerospace technology.

The working lead will spend much of the time performing manufacturing tasks such as calibration, welding, machining, furnace operators demonstrating a high level of proficiency on multiple programs and/or disciplines of moderate to complex difficulty and is considered a subject matter expert (level III) in primary discipline. Operates as a main point of contact for OJT training and auditing process as well as mentors new and current employees. Collaborates with support staff to achieve On Time Delivery, Inventory, Cost of Poor Quality, efficiency, and company goals. The working lead may also support team coordinators by assisting with managing workflow and solving day to day production issues.

External candidates will receive a $1,000 sign on bonus.

What You Will Do

• Learn how to set up and operate precision manual and/or computerized machining centers according to standard work.

• Learn how to adjust machine feed/spindle speeds and the changing of tooling and cutters per machining.

• Learn how to read and interpret blueprints and specifications.

• Understand and follow quality testing techniques. Learn how to inspect product using precision gauges, measuring instruments and equipment.

• Demonstrate proficiency in Manufacturing Documentation and Labor Transactions.

• Support and follow all rules/guidelines/standards set by EHS, Quality, and CI functions as set by your leader and position.

• Actively participates in the Continuous Improvement process as well as safety related activities.

• Working extended shifts/overtime as required by the business

• Some Holiday hours may be required based on business need

• The schedule for this position is Monday through Friday 3:30pm – 12:00am . Training however will be the first 2-3 months Monday through Friday, 7am - 3:30pm.

Qualifications You Must Have

• Typically requires HS Diploma or equivalent or vocational/technical education in related discipline.

Qualifications We Prefer

• Demonstrated skill in executing specific goals and plans to prioritize organize and accomplish daily goals working at times with little or no supervision.

• Demonstrated ability to train, mentor, and help others to improve their knowledge of skills, respected by their peers by setting the example for hard work and ethics.

• Moderate proficiency of Microsoft Excel, Word, and PowerPoint.

• General awareness of production processes, quality control, and other techniques for maximizing the effective manufacture and distribution of goods.

• Working knowledge of continuous improvement tools and processes.

• Working knowledge of manufacturing machines and tools, including their designs, uses, repair, and maintenance, considered a technical expert in at least one discipline.

• Demonstrated experience working on multiple complex programs in primary discipline and capable of working on several moderate programs in primary or additional disciplines.

• Ability to effectively communicate with all levels of employees and management.

What We Offer
 

Some of our competitive benefits package includes:   

• Medical, dental, and vision insurance  

• Three weeks of vacation for newly hired employees  

• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option  

• Tuition reimbursement program 

• Student Loan Repayment Program  

• Life insurance and disability coverage  

• Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection 

• Birth, adoption, parental leave benefits 

• Ovia Health, fertility, and family planning  

• Adoption Assistance           

• Autism Benefit  

• Employee Assistance Plan, including up to 10 free counseling sessions  

• Healthy You Incentives, wellness rewards program 

• Doctor on Demand, virtual doctor visits  

• Bright Horizons, child and elder care services 

• Teladoc Medical Experts, second opinion program  

• And more!  

This position is not eligible for relocation assistance.

Learn More & Apply Now!

We make modern flight possible for millions of travelers and our military every second.  Our major product lines are on-board virtually every aircraft flying. Be it keeping passengers safe with our emergency power generation systems or creating a positive in-flight experience through reliable cabin pressure controls and quieter engines, Power & Controls focuses on delivering a best-in-class experience to our customers. We hire the top people in the industry. Their ideas drive our performance, and their integrity keeps our customers happy. Join us as we take flight! 

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. 

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings. 

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.  

Apply now and be part of the team that’s redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Research Engineer – Applied Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.

Responsibilities:

• Prototype and optimize algorithms in computer vision and machine learning.

• Build scalable training and inference pipelines on cloud platforms (AWS EKS).

• Perform data curation, model evaluation, and system integration.

• Collaborate with academic and government research partners.

Requirements:

• BS or MS in Computer Science, Engineering, Applied Math, or related field.

• Experience with PyTorch or TensorFlow and scalable model training.

• Strong background in algorithms and software design.

• Excellent communication and technical writing skills.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).

• Familiarity with Kubernetes and distributed data systems.

Why Novateur?

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Flexo Printing Press / Slitter Operator / Rewinder

Location: Marshall County, Indiana (Onsite)

Hours: Second Shift; Mon to Thurs 4:00 PM – 2:00 AM (10-hour shifts - off Fri to Sun)

Employment Requirements: Candidates must be able to pass a pre-employment drug screening (including THC), background check, physical examination, and provide a valid driver’s license.

Position Overview

We are seeking experienced Slitter, Rewinder, and Flexo Printing Press Operators to join our production team in Marshall County, Indiana. This is a hands-on manufacturing role ideal for candidates with experience operating slitter/rewinder equipment and working with materials such as film, paper, foil, or labels.

The selected candidate will be responsible for setting up, operating, and maintaining slitter, rewinder, or flexographic press equipment to ensure production goals and quality standards are consistently met.

Key Responsibilities

• Set up and operate slitter, rewinder, or flexo press machines according to job specifications
• Monitor machine performance and make necessary adjustments to maintain quality and efficiency
• Perform job changeovers with minimal downtime
• Inspect finished rolls for accuracy, proper tension, and defects
• Accurately record production and quality data
• Perform routine maintenance and basic troubleshooting
• Load, unload, label, and prepare materials for shipping
• Complete approximately two weeks of training on first shift prior to transitioning to assigned shift

Qualifications

• Previous experience operating slitter, rewinder, or flexographic press equipment preferred
• Experience working with film, paper, foil, or label materials
• Ability to follow safety procedures and wear required PPE, including steel-toe boots, hair nets, and beard nets
• Strong attention to detail
• Dependable with a strong work ethic

Schedule & Compensation

• Bi-weekly payroll via direct deposit
• Second Shift: Mon to Thurs 4:00 PM – 2:00 AM (10-hour shifts - off Fri to Sun)
• Must complete approximately two weeks of training on first shift

Benefits

• Health insurance (PPO and HSA options), including dental and vision — company covers 70% of premiums
• Short-term disability (12 weeks at 70% of gross wages)
• 401(k) with employer match
• Profit sharing after one year (vesting applies)
• Paid Time Off:
• 1 week after 1 year
• 3 weeks after 3 years
• 8 paid holidays
• Company-sponsored events and family-friendly activities

How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant machine operation experience, particularly with slitter, rewinder, or flexographic press equipment.

Duration: Permanent/Full-time

Client: One of the largest Diesel Engines and Power Generators manufacturers in the US

Overview:

We are looking for an Industrial Machine Repair Technician III who troubleshoots, assembles, installs, tests and maintains mechanical systems using all necessary tools to keep equipment available and capable. Learns and understands the protocols of working safely with electricity and other energy sources with industrial equipment. May work independently and instruct or coach others.

Duties:

• Strengthen equipment reliability by expertly troubleshooting, assembling, installing, and maintaining mechanical systems to keep production running smoothly.
• Elevate workplace safety by proactively identifying hazards, stopping unsafe work, and modeling strict adherence to HSE protocols and PPE requirements.
• Improve environmental stewardship by recognizing how daily tasks affect the environment and consistently acting to reduce negative impact.
• Enhance product quality through meticulous craftsmanship, precise use of technical documentation, and thorough inspections that prevent defects and reduce cost exposure.
• Boost operational performance by executing preventive, corrective, emergency, and predictive maintenance that minimizes downtime and supports production goals.
• Develop team capability by coaching less experienced technicians, sharing knowledge, and serving as a trusted resource for troubleshooting and best practices.
• Drive process improvement by identifying constraints, solving recurring problems, and contributing to continuous improvement and TPM initiatives.
• Strengthen team cohesion by communicating clearly, collaborating across support groups, and actively engaging in training and personal development to support collective success.

Qualifications:

• At least 7 years of experience in a relevant trade field, or A Journeyman Trade Certificate with relevant experience, or A 2-year technical degree in a related field, plus 3 years’ experience working in the Machine Repair/Industrial Electrical field.
• Knowledge of mechanical systems including hydraulics, pneumatics, conveyance systems, CNC equipment, and automation required.
• Responsible for completing machine layouts and machine installations.
• Relevant Experience may include: Controls Engineering, Industrial Automation, Robotics, Residential or Commercial Electrical, Heavy Duty Equipment Maintenance, Welding and Fabrication, Machining, and Farming and Agricultural work, specifically maintenance and repair of equipment etc.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Position Summary:

We are seeking experienced CNC Mill Machine Operators to join our manufacturing team in Santa Clara. This role is responsible for operating CNC milling machines, monitoring production, and ensuring parts meet quality specifications. Candidates must have hands-on shop experience operating CNC mills and be comfortable using precision inspection tools to verify part accuracy.

Key Responsibilities:

• Operate CNC milling machines to produce parts according to specifications
• Monitor machine performance and make basic adjustments as needed
• Perform in-process inspections using precision measuring tools such as micrometers, calipers, and pin gauges
• Ensure parts meet quality standards and report any defects or issues
• Maintain a clean, organized, and safe work environment
• Follow production schedules and communicate any issues with supervisors or leads

Requirements:

• 1–2 years of CNC mill operating experience in a manufacturing or machine shop environment
• Hands-on shop experience required (school training alone is not sufficient)
• Experience operating CNC Mills (not CNC Lathes)
• Ability to use inspection hand tools such as micrometers, calipers, and pin gauges
• Strong attention to detail and commitment to quality
• Ability to work in a fast-paced production environment