Machine Fabricating Llc 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.

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:

Description

At Lactalis in the USA, we believe in promoting from within and giving our employees meaningful opportunities to learn, grow, and thrive. Whether you're just starting out or bringing years of experience, we'll provide the tools and support you need to succeed.

As the world leader in dairy, Lactalis is a family-owned company with over 85,000 pragmatic and ambitious professionals across the globe. Each day, we're proud to produce award-winning dairy products that bring people together.

In the US, we proudly offer an unrivaled house of beloved brands, including Galbani Italian cheeses and ricotta, President specialty cheeses and butters, Kraft natural and grated cheeses, Breakstone's cottage cheese, Cracker Barrel, Black Diamond cheddar, and Parmalat milk. Our yogurt portfolio includes siggi's, Stonyfield Organic, Brown Cow, Oui, Yoplait, Go-Gurt, :ratio, Green Mountain Creamery, and Mountain High, along with a growing family of ethnic favorites like Karoun, Gopi, and Arz.

At Lactalis, we live by our core values-Ambition, Engagement, and Simplicity. We foster a workplace where innovation thrives, diverse perspectives are celebrated, and everyone's unique background and ideas are valued.

Even if you don't meet every qualification, we encourage you to apply. We want to hear about your PASSION, your STORY, and how your EXPERTISE can help us shape the future of dairy.

From your PASSION to ours.

Lactalis USA, part of the Lactalis family of companies, is currently hiring a Machine Operator based in Buffalo, New York.

From your EXPERTISE to ours.

Key responsibilities for this position include: Other duties may be assigned.

Summary: Responsible for operation and maintenance of the bulk filler machine system.

1. Perform pre-shift operational inspection to determine condition of filling machine.

2. Sets up filling machine and related equipment for product to be run.

3. Monitors filling machine during line operation to ensure proper operation and efficiency.

4. Troubleshoots and resolve operational /mechanical problems in a timely basis to ensure an efficient, smooth flow of product.

5. Monitors package seal impressions, integrity, and product giveaway.

6. Changes film in a timely manner to fashion to ensure a continuous, efficient flow of product.

7. Perform product changeover(s) as needed.

8. Performs preventative maintenance on a daily/weekly schedule as required.

9. Maintains an open line of communication with production palletizer, and lead person/supervisor.

10. Perform proper sanitation of the filler before introducing the product.

11. Continuously monitors for abnormalities or inconsistencies in the texture, shape, color, odor or foreign material in or on the product.

12. Continuously monitors for proper code date, lot number and operator code product to be packaged.

13. Familiarizes self with all standard operating procedures.

14. Continuously monitors for proper product temperature during filling.

15. Continuously monitors the cup wash, ensures that it is on and working correctly.

16. Continuously monitors the cooling spirals and investigates any problems.

17. Keeps work area neat and clean at all times.

At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options. We support insurance costs significantly, contribute generously to retirement plans, and offer Paid Time Off from day one. We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement. Join us and grow your career.

Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally-recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities. Further, any division of the Company that is an Affirmative Action Employer will comply with all related legal obligations

Requirements

Qualifications:

* Basics mathematical skills are required (must be able to calculate averages)

* Food industry is preferred

* Strong attention to detail and accuracy.

* Must be dependable and be able to work well in a team environment.

Education and/or Experience:

* High School Diploma/GED required.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Commercial Airplanes is excited to offer opportunities for an Inspector Tooling and Machined Parts to join our Quality team in Puget Sound in Washington.

As an Inspector for Tooling and Machined Parts, you will be essential in ensuring the highest standards of quality and safety in our manufacturing processes. Your keen attention to detail will enable you to conduct thorough inspections of tooling and machined parts, verifying compliance with stringent specifications and quality standards. To excel in this role, it is important to note that employees must pass visual acuity and color perception eye examination tests to ensure accuracy in evaluations. You will collaborate closely with engineering and quality assurance teams to identify and resolve any discrepancies, ensuring that all components meet operational requirements. Your expertise will also be critical in performing audits and surveillance of manufacturing processes, contributing to continuous improvement initiatives.

You will play a critical role in upholding our commitment to safety and quality standards, ensuring that all operations meet regulatory compliance and operational excellence. If you are detail-oriented, possess strong technical skills, and thrive in a collaborative environment, we invite you to apply and be a part of our mission to deliver excellence in aviation.

Position Responsibilities:

• Obtain daily work assignments from the team leader or supervisor and review work orders and blueprints to determine required tasks.

• Inspect preparatory cleaning, application of sealant, protective coatings, and leak detection coatings of integral fuel cells.

• Perform and witness leak checks, determining the source of leaks and evaluating the extent of repairs required.

• Collaborate with Engineering, Quality, and Manufacturing to evaluate and coordinate improvements in build processes and defect reduction initiatives.

• Initiate and document any nonconforming materials or assemblies according to specifications and procedures.

• Conduct audits and surveillance of manufacturing and quality assurance processes to ensure compliance.

• Use precision measuring instruments and shop mathematics to verify that all parts and assemblies meet quality requirements.

• Review manufacturing plans and other documentation for completeness and compliance, identifying any discrepancies.

• Inspect mockups of engineering design changes to ensure adherence to specifications.

• Perform line checks to investigate whether rejectable conditions exist on other assemblies or airplanes.

• Indicate Quality Assurance acceptance by stamping the appropriate paperwork and processing completed records.

• Review previously accepted systems, customer requirements, or FAA conformities to determine if re-inspection is required.

• Work with engineering and the FAA on red label equipment to ensure proper segregation from production parts.

• Document discrepancies and report them to the appropriate personnel for resolution.

• Assist in the training and instruction of lower-grade inspectors, providing guidance as needed.

Physical Demands and Potential Hazards:

• Perform physical tasks that include lifting weights ranging from 10-15 lbs. to 15-35 lbs.

• Engage in various movements such as reaching, handling, turning, twisting, lifting, lowering, climbing, balancing, bending, kneeling, crouching, and squatting.

• Work in environments that may involve contact with metals, solvents, and coolants.

• Operate in proximity to moving parts and tools, sharp cutters, and potential slipping hazards.

• Adapt to varying noise levels and atmospheric conditions.

• Utilize personal safety gear to protect face/eyes, hands/arms, and feet while performing job duties.

This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options.

This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee

Current Boeing employees working in Puget Sound must submit an Employee Request Transfer (ERT) to be considered in the eligible candidate pool. Resumes of current Puget Sound Boeing employees submitted via Careers at Boeing will not be considered.

Basic Qualifications:

• 3+ years of experience reading and interpreting engineering drawings and specifications (e.g., blueprint/schematic reading, specification, change, design).

• 3+ years of experience in setting and using precision measuring tools and equipment such as micrometers, calipers, and/or dial indicators.

• 1+ years of experience calibrating and/or using coordinate measurement machines, laser trackers, and/or optical measurement devices.

• Experience as a Quality Inspector.

• Experience working with Microsoft Office (Excel, Word, PowerPoint).

• Ability to walk constantly throughout the workday; stand 6-8 hours per day; climb or work from stairs/steps up to 8 hours per day; climb ladders; bend and twist frequently up to six hours per day; squat and kneel.

• Ability to complete Fall Protection Training.

Preferred Qualifications:

• Experience inspecting welds / welds certification

• Equivalent education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.)

Typical Education & Experience:

High school graduate or GED preferred.

Relocation:

• Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union Representation Statement:

This is an hourly position governed by the International Association of Machinists (IAM-751) Collective Bargaining agreement.

Shift Work Statement:

• This position is for a variety of shifts

Total Rewards & Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay: $31.32/hour, with potential to earn up to $59.47/hour in accordance with the terms of the relevant collective bargaining agreement.

Applications for this position will be accepted until Mar. 27, 2026

Language Requirements

English Preferred

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for variable shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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 is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.

What you will do:

• 
  
• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  
• Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  
• Foster a collaborative, inclusive, and high-performing team culture.
  
  

What we're looking for:

• 
  
• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  
• 2+ years of people management experience leading engineering teams.
  
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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

#LI-AK7
#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:

Sovereign America Industries currently has an immediate opening for an experienced Industrial Sewing Machine Operator. The Industrial Sewing Machine Operator will operate and tend sewing machines to perform sewing operations on various materials. This includes joining, reinforcing, and finishing various parts and materials. This person will receive job specific training and ultimately be required to join a variety of large format materials. Sound hand-eye coordination and the ability to cope with moderate physical effort will be necessary. Mechanical aptitude and a desire to learn is necessary.

Essential Functions:

• Perform various sewing operations, including joining, reinforcing and finishing on a variety of different types of materials.
• Visually inspect subassemblies and finished goods per quality standards.
• Layout and cut materials using patterns, scissors, and/or cutting equipment.
• Ability to follow instructions provided verbally, in writing, or in diagrams.
• Maintain a clean, neat, orderly, and safe work area.
• Strong math and measurement skills with the ability to read fractions.
• Report issues or concerns to leadership, as needed.
• Performs other related duties as assigned.

Qualifications:

• 6 months of experience in industrial sewing.
• Basic knowledge of industrial stitching equipment such as walking foot and double needle machines.
• Strong attention to detail.
• U. S. citizen.
• Strong desire to learn.
• Solid interpersonal and communication skills.
• Must be willing to sign a company-issued Non-Disclosure Agreement (NDA) as a condition of employment.

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance program * Paid Time Off * Flexible Scheduling * 401(k) – 100% match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * Hiring Immediately  

Welcome to Love’s!  

Tire Retread Machine Operators work in a fast-paced environment while maintaining clean and safe places. If you are looking for a great opportunity to grow along with a winning team, join us today. No experience? No problem! We will teach you!  

Job Functions:    

• Visually inspect tires to be retreaded to determine condition 

• Repairs casings, if needed, utilizing proper procedures and correct size repair patch 

• Operate buffing machine to remove existing treads from tires and measure tires to determine proper tread width 

• Inspect finished retread utilizing multiple-step high-pressure test machine to ensure the integrity of the casing 

• Receive and unload supplies including tread rubber, cushion gum and repair materials, envelopes, curing rim, tire casings, rims, etc. 

• Assist in distribution center activities as assigned. 

Our Culture:  

Come see why Love’s Travel Stops and Country Stores was recognized by Indeed as the winner of the Better Work Award in 2023.  

Love’s Travel Stops and Country Stores is an Equal Opportunity Employer. Veterans encouraged to apply.

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.

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. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

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:

Who we are looking for:

We are currently searching for a Coiler (Machine operator) to be based out of New Bedford, MA Duchaine Facility. Reporting to the Manufacturing Shift Supervisor, the operator will be responsible for operating machinery in the areas of coiling, packing and using simple measurement instruments to check work and completing paperwork required.

What you will do:

Machine Operator's responsibilities include, but are not limited to:

• 
  
• Read and comprehend production Standard Work and Job Function Analysis (JFA)
  
• Ensure production materials are available.
  
• Operate and observe machinery during production.
  
• Identify acceptable or unacceptable product quality to customer requirements and quality standards.
  
• Collaborate with co-workers, supervisors, and managers to achieve productivity and site goals.
  
• Adhere to all safety procedures and report potentially unsafe conditions immediately.
  

What you will bring:

• 
  
• High School diploma or equivalent education and experience strongly preferred but not required.
  
• Previous experience working in a manufacturing or industrial environment is strongly preferred.
  
• Ability to work in an environment with loud noises, smells and/or extreme temperatures at times.
  
• Basic Math skills required.
  
• Must have the ability to lift up to 70 lbs.
  
• Must be able to push, pull, bend, sit and stand without assistance.
  
• Good attendance and strong work ethic required.
  
• Must have the ability to understand and carry out verbal and written instructions in English.
  
• Ability to follow directions and complete work in a safe and efficient manner while producing a quality product.
  
• The ability to align with our core values - Accountability, Teamwork, Integrity, Respect and Excellence.
  
  

Within 3 months, you'll:

• 
  
• Complete any required training.
  
• Have developed relationships with the key stakeholders for this role.
  
• Be well-versed in Atkore's Business System and the importance of your role to daily operations.
  

Who we are:

Atkore is a four-time Great Place to Work certified company and a two-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values.

Join our team and align yourself with an industry leader!

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.

You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.

What you’ll do:

• Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
• Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
• Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
• Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
• Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
• Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.

What we’re looking for:

• 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
• A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
• Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
• Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
• The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.

Nice to have:

• Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
• Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
• Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
• Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).

Description

Ready for more than just a job? Build a career with purpose.

At Lactalis in the USA, we're committed to providing meaningful opportunities for our people to learn, grow, and thrive-whether you're just starting your journey with us or looking to take the next step in your career. From day one, we offer the tools and support to help you succeed.

As the world leader in dairy, Lactalis is a family-owned company with over 85,000 pragmatic and ambitious professionals across the globe. Each day, we're proud to produce award-winning dairy products that bring people together.

In the US, we proudly offer an unrivaled house of beloved brands, including Galbani Italian cheeses and ricotta, President specialty cheeses and butters, Kraft natural and grated cheeses, Breakstone's cottage cheese, Cracker Barrel, Black Diamond cheddar, and Parmalat milk. Our yogurt portfolio includes siggi's, Stonyfield Organic, Brown Cow, Oui, Yoplait, Go-Gurt, :ratio, Green Mountain Creamery, and Mountain High, along with a growing family of ethnic favorites like Karoun, Gopi, and Arz.

At Lactalis, we live by our core values-Ambition, Engagement, and Simplicity. We foster a workplace where innovation thrives, diverse perspectives are celebrated, and everyone's unique background and ideas are valued.

Even if you don't meet every qualification, we encourage you to apply. We want to hear about your PASSION, your STORY, and how your EXPERTISE can help us shape the future of dairy.

From your PASSION to ours

Lactalis US Yogurt, part of the Lactalis family of companies, is currently hiring a Machine Operator based in Londonderry, NH.

The Machine Operator will be responsible for all operational activities related to safety, product safety, line efficiency, performance and ingredient usage of the assigned production line.

From your EXPERTISE to ours

Key responsibilities for this position include:

• Responsible for personal and personnel safety for the assign production line and make recommendations for improvements to supervision.
• Responsible for the product quality of the assigned line, to include ensuring that all components used in the process match our Stonyfield standard (correct white mass, fruit dosing flavor injection, cups, lids, cup code, box code)
• Responsible for monitoring the weight control, line checks, changeovers, start up, shutdown and other process at the line.
• Responsible to ensure Stonyfield products are aligned with specification, making adjustments when needed and reporting any deviations to maintenance and supervision.
• Responsible for ensuring the housekeeping, General Manufacturing Practice compliance, and respect for the zoning for the assigned production line.
• Responsible to ensure all containers used in the production process have proper labels to be in compliance
• Responsible for the Clean in Place (CIP) of the assigned production line, ensuring high level of sanitation is performed and working to stay within CIP expected timeframe allotted for the assigned line.
• Responsible to ensure operator control sheets have accurate information related to the fruit and flavor consumption for each SKU run.
• Being able to deal with changes in the work environment, being an active contributor to positive changes.
• Perform other duties as assigned.

From your STORY to ours

Qualified applicants will contribute the following:

• 1-2 Years experience in manufacturing environment.
• Ability to work in a 12 hour schedule.
• Ability to lift 50 lbs.
• Solid written and oral communication skills.
• Ability to work in a noisy area.
• Computer literacy required.
• English proficiency (reading , writing skills)
• Ability to prioritize and meet deadlines within specified time constraints.
• Ability to operate in a team environment.
• Ability to adapt in a changing work environment.

Yes - you read that right! Our two week rotation in Production allows our team members to have every other Friday, Saturday, Sunday off!

We run 12 hour shifts - Week 1: 48 Hours, Week 2: 36 hours

• Week 1: Sat - On, Sun - On, Mon - Off, Tues - Off, Wed - On Thurs - On, Fri - Off
• Week 2: Sat - Off, Sun - Off, Mon - On, Tues - On, Wed - Off, Thurs - Off, Fri - On
• 6:30p - 6:30a
• 17% shift differential

At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options. We support insurance costs significantly, contribute generously to retirement plans, and offer Paid Time Off from day one. We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement. Join us and grow your career.

Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally-recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities.