Eversys Sa Coffee Machine Jobs in Usa

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.

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: