Assembly Machine Code 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 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:

An Electrical Assembly Lead is responsible for assembling, installing, and maintaining electrical systems and components. They work with various types of wiring, cables, and connectors to ensure proper functioning of electrical equipment and systems. An Electrical Assembly Lead may read and interpret electrical schematics and blueprints, and they often work closely with electricians and other technicians to complete projects. They must adhere to safety regulations and follow industry standards to ensure the integrity and reliability of electrical systems.

Essential Job Duties:

• Train employees; assist in new employee training plans
• Communicate and delegate daily priorities to other employees
• Release jobs to QA
• Write purchase requisitions; order parts of GEXPRO
• Lead/Mentor 6S and continuous improvement projects, including Kaizen events
• Lead Quality Initiatives
• Communicate within department and with other departments to resolve issues and drive timely completion of jobs
• Review bill of materials and drawings for issues
• Assist in interviews and new hire selection
• Identify training needs for the group and help develop appropriate training plan
• Assist in tracking job efficiency and productivity
• Assist in employee evaluation process
• Communicate passdown information
• Lead Safety and Quality meetings
• Support the enforcement of Powell's policies and safety program

Minimum Qualifications

• Minimum education level of a High School Diploma or General Education Equivalent Diploma is preferred.
• 8 years of experience in a manufacturing environment
• Knowledge of system software (i.e. Oracle, MES, True View) to look up parts and drawings.
• Lift up to 50lbs using proper lifting techniques.

Preferred Qualifications

• Skills, Abilities & Other Requirements
• Knowledge and understanding of Engineering Change orders
• Read and understand spec sheets and follow proper use of hardware by spec requirements.
• Advanced knowledge of single and three-line drawings, including symbols
• Ability to identify part discrepancies and properly write HFDs for corrections
• Knowledge of mechanical drawings and designs
• Ability to complete complex engineering changes.
• Effectively demonstrates on-time delivery and the ability to stay focused on goals and responsibilities.
• Self-starter with ability to take on multiple tasks with a drive to succeed.
• Challenges the status quo; looks for better or more efficient ways to get results.
• Ability to adapt to new ideas, technology, processes or product changes.
• Believes and displays through actions that our customers represent our current success and remain vital to our future growth.
• Demonstrates integrity and ethical decision making.
• Conscientious, thorough, accurate, and reliable when performing and completing job tasks.
• Able to work effectively within your team and around other departments and their activities.
• Ability to learn and adhere to all manufacturing policies and practices to ensure adherence to ISO requirements.

• 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
  

Quality Control Manager – Machine Parts

Location: West Chester, Pennsylvania

Industry: Precision Medical Device Manufacturing

Job Type: Full Time | 100% Onsite

Shifts: 1st (7:00am–3:30pm), 2nd (3:00pm–11:30pm)

Position Overview

Leads quality control activities for precision-machined medical device components. Responsible for inspection planning, First Article and in-process inspections, nonconformance management, ISO compliance, ERP tracking, and mentoring quality staff across machining cells and shifts.

Core Responsibilities

• Develop and oversee inspection plans across machining cells
• Perform and review First Article Inspections and in-process inspections
• Lead nonconformance investigations, MRBs, and corrective actions
• Maintain ISO 9001 and ISO 13485 compliance
• Track quality data and documentation within ERP systems
• Train and mentor inspectors and machinists on quality standards
• Support internal audits and calibration programs

Must-Have Qualifications

• 5+ years quality experience in precision machining environment
• Strong blueprint reading and GD&T knowledge
• Experience performing FAIs and in-process inspections
• Experience managing nonconformance and corrective actions
• Familiarity with ISO 9001 and ISO 13485 systems
• Ability to mentor and train quality personnel

Preferred Qualifications

• CNC or Swiss machining background
• Experience supporting audits and calibration programs
• ERP system experience in manufacturing setting
• Engineering degree or equivalent hands-on experience

Work Environment & Process

• Precision, climate-controlled medical device facility
• Regulated and quality-driven environment
• Uniforms and safety equipment provided at no cost
• Overtime based on production demands
• Interview process includes virtual interviews, onsite visit, and skills assessment

Job description

Award-winning graphic design studio is looking for a creative individual to join our crafting, assembly and inspection specialist team.

You will be working with a small group of talented creatives tasked with crafting, inspecting and ensuring all finished print jobs and special projects are on time and beautifully assembled and presented. This is a fast paced and highly creative environment. A deep passion for paper and luxury goods as well as a willingness to learn is essential. The ideal candidate will have a background in design, fine art or crafting with a perfectionist attention to detail.

You must be able to work well independently and within a team in time sensitive situations. The ideal candidate will be organized, proactive, confident, and have a positive and flexible personality conducive to working in an open studio environment.

Position Description

This is not a Graphic Design role but requires a strong design eye and attention to detail.

· Assist in crafting, assembling and inspecting designer invitations

. Work with artists, designers, project managers to craft printed projects for clients

· Quality-check, verify product details and package up client orders

· Maintain project archives

· Compile samples for press and other public relations/marketing projects

· Research and source materials for new projects

· Cross-check mailing lists for both internal projects and clients

· Assemble client orders and retail products

Ceci New York is a luxury graphic design firm, specializing in printed and artistic design located in the heart of New York City on West 36th Street.

Our studio is perched on the 14th floor with views of the city and features a bright, beautiful, open environment that perfectly lends itself for collaboration, connecting with our clients, and of course, Team Ceci celebrations! Amid fashion brands, art galleries, design studios and the bustling city streets, Ceci New York is a hub of creativity, inspiration and innovation.

Strong benefits package including 401k w matching, health insurance co pay, corporate bonus program, paid time off, paid national holidays, profit sharing and supportive fun team culture in a bright beautiful Design Studio located in the heart of Manhattans Fashion district. The pay is $17 per hour at 40 hours per week. Time and a half per hour for overtime.

For more information on our company, please visit: New York Core Values

• Work Hard, Play Hard – We are a design-obsessed quality-focused team who consistently push and inspire each other while doing what we love. We enjoy a friendly follow-up email just as much as we love our #TeamCeci Summer Fridays.
• The Best of the Best – We seek the most creative, passionate, super-star team members in the universe, and provide an optimal work environment for them to succeed. There are no limits to what we can achieve together.
• Dream Makers – We are a team of dream-makers – in the business of happiness – we pride ourselves on making a difference in people's’ lives everyday through our creativity. Get paid for your creative talent.
• Limitless Innovation – If we can imagine it, we can design it. The sky is not the limit. We are a multi-faceted and diverse team of dynamic, original and professional innovators who believe in the art of the possible.