Soft Serve Machine Jobs in Usa

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.

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

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.

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:

• 
  
• 2+ 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:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

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.

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 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ 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)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

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.

With more than 600 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 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ 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)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• 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
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#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:

Location: Shakopee, MN

Job Type: Full-time

Reports to: Weekend Production Supervisor

Schedule: Friday - Sunday, 6am - 6pm

Compensation: $20.00 - $23.00/hour with $2.00 shift differential, depending on experience and qualifications

Benefits: Medical insurance, Dental insurance, Vision insurance, Company paid Life insurance and Long-term disability, Short-term disability insurance, 401k with company match, Profit sharing, Voluntary Accident, Critical Illness, and Hospital Indemnity insurance, Paid Time Off

This position is not eligible for sponsorship.

Family-owned and operated since 1995, By the Yard proudly manufactures maintenance-free outdoor furniture and accessories for families and businesses throughout the United States. From the factory to the showroom, we infuse our operations with eco-consciousness. Our furniture has been made from recycled milk jugs since day one, and we continue to focus on green initiatives to build better furniture and a better future. Check us

Our values include:

Pride

Stewardship

Caring

Teamwork

Mutual Success

Investing in the community

Under the direction of the supervisor, operate machines, tools, and equipment in the Mill Room to complete orders to the highest quality.

Essential Duties and Responsibilities:

• Machine material to meet part specifications utilizing work instructions and/or patterns.
• Ensures accurate completion of paperwork; verify part quality and quantities.
• Setup and operate a variety of saws, drill press, CNC machines, hand drills and other hand tools.
• May operate forklift if certified.
• Follow part specifications to produce machined parts by setting up and operating a CNC machine.
• Follows all work orders provided by management.
• Remains compliant with housekeeping standards and all safety and work rules and regulations.
• Recommends new and better processes, and methods where possible to manager.
• Maintains a clean, organized, and debris free work area.
• May perform some assembly.
• Must have the ability to identify and resolve problems in an efficient manner.
• Perform other duties and responsibilities as requested or required.

While these areas are the primary focus of this position, we believe strongly in teamwork and team members will be called upon to perform a variety of duties as part of their role with By the Yard.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

MINIMUM QUALIFICATIONS:

High school diploma or equivalent.

Experience using tools and equipment.

Perform basic mathematical calculations.

Understand and follow written, verbal and demonstrated directions.

Must have the ability to work closely and efficiently with fellow co-workers.

Must have great organizational skills and be able to multi-task.

Excellent attention to detail.

Must have strong knowledge of quality production.

General knowledge of and ability to use a computer.

Must have strong knowledge of quality production.

PREFERRED QUALIFICATIONS:

2 years or more relevant production or manufacturing experience.

Previous experience operating a variety of saws, drill press, CNC machines, hand drills and other hand tools.

PHYSICAL AND MENTAL DEMANDS:

While performing the duties of this job, the employee is required to regularly stand, and frequently walk, talk or hear. The employee is frequently required to use hands, fingers, handle, or touch objects, tools, or controls. The employee must occasionally stoop, bend or reach above the shoulders, lift and/or move up to 50 pounds, carrying and moving parts, materials, and product. Specific vision abilities required by this job include close vision, distance vision, color vision, and the ability to adjust focus.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.

Compensation details: 20-23 Hourly Wage

PI7c871191bb98-26289-39958995

• With minimum assistance from Lead, the operator will perform all standard set up within standard time on router; operating, troubleshooting, and machine service as required.
• Adjust machining parts, tooling, including sharpening tools on surface grinders or pedestal grinders.
• Set-up and operation of equipment - Multiple Spindle (Davenport/Chucker).
• Responsible for producing and maintaining high level quality parts per print specifications.
• Work with various types of material such as Titanium, Aluminum, and other stainless steel.
• Perform first piece verification process per part print as required.
• Run multiple machines as required which maintaining high quality parts, efficiency, and productivity per standard time on router.
• Perform Preventative Maintenance per daily schedule.
• Take initiative to perform daily 5S in assigned area and machinery.
• Active involvement in autonomous maintenance and process improvements initiatives.
• Understand and perform statistical process control.
• Perform other duties as assigned to meet facility goals.
• Follow EHS Policies, Procedures, and report all incidents/injuries immediately.
  

• High school diploma or GED.
• 2-years' experience operating machinery.
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  

• 
  
• Ensure a safe work environment for self and others. Follows all safety rules and regulations. Demonstrate commitment to safety program.
  
• Review and follow work instruction, management system procedures and standard operating documents.
  
• Run CNC and manual machines, and hand held tools.
  
• Inspect parts and identify defects and non-conformities. Notify supervisor/lead of non-conformance parts immediately.
  
• Adjust machine settings with assistance when necessary.
  
• Consistently and accurately complete all related paperwork/documentation. For example, inspection reports, part counts, scrap tags, material tags, etc.
  
• Monitor fluids in machine and coolant flow in machine.
  
• Utilizes the 5-S principles (sort, set in order, shine, standardize, and sustain) to maintain an orderly, clean and safe work area.
  
• Regularly meet or exceed efficiency requirements.
  
• Produce parts that meet the Company's quality standards.
  
• Actively participates in CIP events to improve the safety, quality, and efficiencies of our current processes and procedures.
  
• Support and positively contribute to a culture of continuous improvement.
  
• Work at a consistent and steady pace, be prepared to work each day, and report to assigned work center in a punctual manner.
  
• Communicates with supervisor and co-workers in a professional manner
  
• Ensure work center is prepared for the next operator. This includes cleanliness, organization, supporting documentation.
  
• Promote a positive atmosphere. Actively support activities that promote the welfare and morale of TEAM employees.
  
• Will be required to perform other duties as requested, directed or assigned.
  

• 
  
• High school diploma or Equivalent
  
• Manufacturing experience desired but not required
  

• 
  
• Mechanical aptitude
  
• Basic Math skills, must have a working knowledge of decimals
  
• Ability to read measuring instruments
  
• Ability to read and follow work instructions
  
• Must be detail oriented, with the ability to recognize defects and non-conformities
  
• Ability to work with limited supervision
  
• Regular attendance
  

• OJT for Machining Operator I

• 
  
• Ability to frequently lift and/or move up to 20 lbs, occasionally lift and/or move up to 33 lbs., rarely lifting up to 50 lbs.
  
• Ability to stand up to 100% of shift
  
• Ability to do repetitive movements (i.e. bending, twisting, walking)
  
• Able to continuously operate at a minimum of 3 hours
  

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.