Sifter Machine Jobs in Usa

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.

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

6:30a - 6:30p

• 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

*For current employees referring an applicant, this is a HOT job*

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.

EARN UP TO A $1000 BONUS! APPLY NOW!

Atkore is forging a future where all Atkore brands, suppliers, employees, customers, partners and communities are building better together - a future focused on serving the customer and powering and protecting the world.

Atkore is a leading manufacturer and distributor of electrical, mechanical, and safety infrastructure solutions to power and protect the world. With approximately 3,900 employees and 65 manufacturing and distribution facilities worldwide, Atkore manufactures electrical conduit, cable management systems, armored cable, metal framing, and security products and solutions. Atkore's commitment to quality, delivery and value helps customers realize their vision. Atkore forges relationships and shapes the future with breakthrough results, enhanced technology, and innovative product offerings.

Atkore currently has openings for Machine Operator/Coilers in our New Bedford, MA facility. All openings will be 3rd Shift (Midnight - 8am), Monday through Friday (occasional overtime may be required including weekends) however training may take place on any shift.

Responsibilities include set up, operation, inspection and adjustment of large and/or heavy coiling equipment. This role requires lifting up to 70 lbs as well as pushing/pulling of coiling materials, completion of necessary paperwork and maintaining a clean and organized work area.

Job Requirements:

• 
  
• 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.
  

Our Culture Drives Value

Atkore's culture is created from the disciplined use of the Atkore Business System (ABS), which is a critical part of our mission and a foundational system based on excellence in People, Strategy, and Processes, tied together with Lean Daily Management (LDM) to manage and sustain the business we have today, and Strategy Deployment Process (SDP) to create the business we aspire to become.

Having the right talent in the right roles enables successful ABS execution, improves our customer's experience, and delivers breakthrough results. Said another way, that's how we win!

Great Leaders Drive Value

Atkore is committed to creating an engaged and aligned workplace that helps drive an accountable and performance-based culture. Our team possesses a willingness to strive for breakthrough results, stays focused on being standout leaders, and fully supports decisions of the Company after robust debate. We consistently live the Atkore mission, learn our strategic priorities and link behaviors to those priorities, all in a way that's consistent with our core values. Together, we build stronger leaders and improve customer satisfaction which positively increases the overall value of the enterprise.

Atkore Delivers Value to You

By joining Atkore, you can expect to receive a competitive salary in addition to a comprehensive benefits package including medical, dental, vision, 401(k) with company match, flexible spending accounts, tuition reimbursement, as well as life, accident and disability insurance. In addition, Atkore offers wellness programs and employee assistance resources to help employees achieve a healthy work-life balance.

Our dedicated employees are recognized for their commitment to our customers and making our company better than it was the day before.

Atkore is an Equal Opportunity Employer and does not discriminate because of age, color, disability, ethnicity, marital or family status, national origin, race, religion, sex, sexual orientation, gender identity, military veteran status, or any other characteristic protected by law.

Atkore is a diverse company that believes its employees are the foundation for investing in its future, through the understanding that awareness and acceptance of our individual difference enhance inclusion and promote engagement and alignment. Diversity and inclusion are keys to growing our business and providing a work environment that fosters contributions by all employees.

Join our team and align yourself with an industry leader!

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 more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

• 
  
• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  
• Deeply understand the Pinterest search product, and drive the vision for the team.
  
• Provide visibility for senior leadership into the team's global impact.
  
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  
• Mentor and grow managers, leaders and engineers on the team.
  
• Build a culture of excellence and expertise.
  

What we are looking for:

• 
  
• Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  
• A knack for product and impact on users of a consumer product.
  
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  
• Bachelors degree in computer science or related technical field, or equivalent experience
  

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.
  

Relocation Statement:

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

#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.

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work 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:

We are currently assisting our client, an industrial manufacturer, with a Machine Design Engineering search in the Stow, OH area.

Responsibilities:

• Will be responsible for the design and development of comprehensive machinery and automated systems.
• Engage in collaboration with Project Managers and Engineers to ensure all functional requirements are fulfilled.
• Oversee projects from the initial concept stage through to successful manufacturing.

Key Requirements:

• Proven experience in machine and equipment design.
• Proficiency in 3D CAD software.
• Ability to develop a concept into manufacturing

Additional Information:

• All information will be kept strictly confidential
• Applications will not be considered without a Resume/Curriculum Vitae which includes contact information

Who we are:

• JMI Recruiting Services is a third party search firm that strategically partners with our clients to recruit exceptional talent nationwide. Our customers include Fortune 500, private equity firms, and privately held companies. With our proven process, excellent track record, and willingness to outwork the competition, we consistently deliver quantifiable results.

Machine Builder – 3 Openings (2 Integration, 1 Sub‑Assembly)

Location: Clinton Township, MI

Schedule: Full-time, Onsite

Type: Long-Term Contract

Requirements: Must pass drug screen and background check

About the Role

We are seeking skilled Mechanical Machine Builders—2 Integration Builders and 1 Sub‑Assembly Builder—to join our team supporting automotive equipment build and installation projects. This role requires the ability to work independently with minimal supervision while delivering high‑quality workmanship.

Key Responsibilities

• Perform mechanical integration and sub‑assembly work for automotive OEM projects (Chrysler, Ford, GM).
• Work independently on medium-complexity mechanical build projects.
• Follow equipment installation through all phases, from in-house build to customer-site installation.
• Assist the project team in resolving technical issues or build concerns.
• Read and interpret blueprints, mechanical drawings, and BOMs.
• Update and submit weekly E‑BOM summaries to the Mechanical Supervisor.
• Verify all parts and assemblies conform to specifications and engineering documentation.
• Maintain project schedules, track open issues, and meet deadlines.
• Follow all safety, environmental, and quality system procedures.
• Maintain a clean, organized work area.
• Utilize rigging and crane equipment safely and effectively.
• Perform basic welding as required.
• Provide and maintain own tools and PPE.

Qualifications

• Education: One-year certificate from a college or technical school; or
• 5 years of related mechanical assembly experience; or
• Equivalent combination of education and experience.
• Strong understanding of automotive industry build practices.
• Proficient with standard mechanical tools, rigging, and overhead cranes.
• Ability to work with minimal supervision while maintaining high-quality output.
• Reliable, consistent, and punctual attendance is essential.

Additional Details

• This role requires 100% onsite work.
• Long-term contract opportunity with full-time hours.
• Candidates must successfully pass drug screening and background checks.

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

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-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:

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

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 our PinFlex page to learn more about our working model.
  

#LI-SM4

#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: