Prosumer Espresso Machine Jobs in Usa

About Pinterest:

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

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

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

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

Pinterest helps Pinners discover and do what they love. 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:

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• 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:

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• 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:

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

In-Office Requirement Statement:

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• 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:

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• 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:

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• 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:

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• 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
  

Triumvirate Environmental, one of the largest environmental services firms in North America, is seeking an (onsite) Processing Machine Operator for our Pennsylvania recycling operation. This position reports to Production Supervisor. The schedule is Monday through Friday, 4:00pm-2:30am.

This safety sensitive, detail oriented, and highly motivated individual will be responsible for operating different types of shredders and grinders. They will also be working closely with compounding (densifying) equipment.

Triumvirate Environmental provides leading organizations in the higher education, life sciences, healthcare, and advanced manufacturing sectors with diverse services and expertise to assist them with compliance management. At Triumvirate Environmental, we strive to WOW both our employees and our customers. Our unique culture fosters growth, development, education, and creativity.

Triumvirate Environmental is committed to social responsibility, focusing on environmental protection, sustainable development, and improving access to education and healthcare. Through our products, services, and corporate initiatives, we strive to make a positive impact, going beyond compliance to promote social good. Our dedication to sustainability and ethical standards drives our long-term success and strengthens relationships with stakeholders.

Essential Responsibilities:

• Identify and label different types of material properly.
• Use basic and power hand tools to remove unwanted metal and plastic from recycled plastics.
• Help drive sustainability by sorting different types of plastic and separating them to be used in the extrusion process.
• Identify when material is not melting properly, adjust temperatures, screw speed and ram settings as needed on compounder machines.
• Regular/Daily cleaning of work area and tools.
• Work efficiently and productively.
• Ability to multi-task.
• Stack material in a safe and efficient manner.
• Develop an understanding of OSHA regulations and Triumvirate's Health and Safety Practices.
• Respect and build a working relationship with co-workers.
• Must successfully complete on-the-job training.
• Ability to stand 8+ hours per day.
• Must be able to lift-up to 50lbs repetitively.
• Must be able to operate a forklift.
• Other duties as assigned.

Basic Requirements:

• High School diploma or equivalent.
• Ability to operate large precision shop machinery.
• Strong aptitude in problem solving and process improvement.
• Demonstrate the ability to articulate problems and solutions.
• Demonstrate a sense of urgency and personal initiative related to problem resolution duties with follow-through and professionalism.
• Self-motivated and capable of managing stressful situations.
• Must demonstrate a strong commitment to safety.
• Collaborate effectively with team members.
• Demonstrate openness to learning by adapting to new processes, incorporating constructive feedback, and taking initiative to develop skills and expertise.
• Must be able to lift 50 pounds repetitively.
• Ability to work overtime.
• This role is considered safety sensitive.
• Must have a reliable form of transportation.
• Must be eligible to work in the United States without future sponsorship.

Preferred Requirements:

• Previous manufacturing experience.
• Previous forklift experience.
• Manufacturing experience.
• Detail oriented.
• Works well with a team.
• Takes direction/criticism positively.
• Willingness to learn.

Work Environment:

• Manufacturing environment where hearing protection, safety glasses and steel toed boots are required.
• Large facility with approximately 100,000 square feet of ground to cover.
• Seasonal variation in temperature and weather conditions.
• Frequent radio communication with operators and managers.
• Teamwork-centered atmosphere with over 100 employees.

Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

Besides Health, Dental and Vision Insurance, we contribute to a 401k, offer a generous tuition reimbursement program, TONS of safety training for some positions with opportunities for external trainings and certifications, Mentorship & Career Succession Planning, Relocation Opportunities, Auto/Home insurance discounts, pet assistance discount plans, discounted movie passes & more!

Triumvirate Environmental is committed to a diverse and inclusive workplace. As an Equal Opportunity Employer (EOE), Triumvirate does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Individuals with Disabilities and Protected Veterans are encouraged to apply.

If you have a disability and need accommodation during the application and hiring process, please contact us at https:///contact or call us at 888-834-9697. The requirements listed above are representative of the knowledge, skill, and/or ability required. To view our California Privacy Notice and Policy, click here.

Pay Range: $19 - $20 USD

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.

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

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.