Sifter Machine Uses Jobs in Usa
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
- May 18, 2026 - August 7, 2026
- June 15, 2026 - September 4, 2026
What you'll do:
- Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven models
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
What we're looking for:
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems.
- Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
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. 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.
US based applicants only
The salary for this position is $12,100 monthly.
#LI-HYBRID
#LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Job Title: 60;Machine Operator 1
FLSA Status: 60; 60;Non-Exempt
Department: 60;Operations
Reports to: 60;Assistant Manager, Superintendent or Assistant Superintendent
GENERAL DESCRIPTION / PURPOSE:
Machine Operator 1 (MO1), a field based position, is responsible for operating, maintaining, and repairing company railway maintenance and inspection equipment. This position can operate Lorams on track MOW equipment and/or on track vehicles with supervision in both operating and travel modes. In this role you may be assigned to various types of equipment platforms dependent on business needs and demands.
ESSENTIAL JOB FUNCTIONS:
Safety Focused
- Ability to lead a comprehensive and appropriate job briefing during operations shifts, maintenance shifts, and while conducting maintenance tasks.
- Consistently follows safe work processes, procedures and rules
- Understands on track safety and can explain specifics when asked
- Able to locate all emergency equipment and demonstrate correct operation
Machine Operations and Technical Knowledge 60; 60;
- Conducts machine inspections to identify problems, defects, changes, and hazards and communicates conditions to the operator or supervisor and performs common repairs as instructed. Provides accurate feedback that allows machine leadership to make maintenance decisions
- Accurately records and reports common parts used to supervisor, including floor stock
- Performs maintenance and repairs according to set schedules and policies
- Accurately describes gauge and HMI functions as they relate to machine operation
- Demonstrates the ability to document and complete daily field reporting, personal expense reporting, field lodging, and other administrative reporting as necessary
BEHAVIORAL COMPETENCIES:
- Safety Awareness
- Values Based
- Learning on the Fly
- Action Oriented
- Listening
- Personal Learning
Experience:
Internal: 3+ Months Experience working with Loram equipment or equivalent in a 24/7 environment; Some assignments require Excavator experience. 60; Meet all relevant or applicable pre-qualifications as noted in the general description for this role and Lorams career development matrix.
External: 2+ Years Demonstrated technical skills such as mechanical, electrical, hydraulic and machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and learn best practices
Licenses/Certifications: 60; Maintain Railroad Certifications, CPR/First Aid, valid Drivers License
Slots 1+ year experience Heavy equipment operator (Backhoe, Excavator, or alike). 60; Heavy Maintenance/ Construction equipment maintenance. 60; Basic administration computer skills. Working knowledge of data systems and remote equipment operations cellar or tethered. 60; 60; 60;
Aurora - Minimum of 1 year computer or technology background. 1 year of working knowledge working with MS Windows. 60; Preferred radiation experience. 60; Commercial Drivers License or able to obtain a Class B. 60;
PREEMPLOYMENT REQUIREMENTS:
- This position requires successful completion of a pre-employment physical examination and role-specific assessments. Components may include DOT Physical Exam, Regulated (DOT) DS/BAT, Human Performance Evaluation (HPE), and Audiogram.
- 60;Position requires successful completion of an eVerifile/eRailSafe background check as required by Lorams railroad customers. Ongoing eligibility is subject to compliance with eRailSafe standards.
- 60;Must possess and maintain a valid drivers license. A Motor Vehicle Record (MVR) check will be conducted upon hire and annually thereafter in accordance with Lorams Driving Policy.
- Successfully pass a pre-employment drug and alcohol test.
WORKING CONDITIONS: 60;
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. 60; Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- 100% travel, including international, using any method of transportation.
- Ability to apply high levels of cognitive, analytical, retention and reasoning.
- Excellent communication skills used within any social context.
- Can stand, sit, walk, reach, balance, stoop, kneel, hear, taste and smell.
- Can see up close, distances, colors and has use of peripheral vision and depth perception.
- Can tolerate variable and sometimes extreme physical conditions during visits or inspections of company equipment in a railroad environment.
Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.
Starting pay for the position is between $20.00 - $21.00
Howmet Fastening Systems is looking for a Machine Tech III, Screw Machine in our Fullerton, CA location.
Specific Responsibilities:
- With minimum assistance from Lead, the operator will perform all standard set up within standard time on router; operating, troubleshooting, and machine service as required.
- Adjust machining parts, tooling, including sharpening tools on surface grinders or pedestal grinders.
- Set-up and operation of equipment - Multiple Spindle (Davenport/Chucker).
- Responsible for producing and maintaining high level quality parts per print specifications.
- Work with various types of material such as Titanium, Aluminum, and other stainless steel.
- Perform first piece verification process per part print as required.
- Run multiple machines as required which maintaining high quality parts, efficiency, and productivity per standard time on router.
- Perform Preventative Maintenance per daily schedule.
- Take initiative to perform daily 5S in assigned area and machinery.
- Active involvement in autonomous maintenance and process improvements initiatives.
- Understand and perform statistical process control.
- Perform other duties as assigned to meet facility goals.
- Follow EHS Policies, Procedures, and report all incidents/injuries immediately.
Qualifications
Basic Qualifications:
- High school diploma or GED.
- 2-years' experience operating machinery.
- Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Benefits/Salary:
The position includes competitive wages and a comprehensive benefits package, including health insurance (medical, dental, vision), excellent 401k matching program, paid holidays and vacation. Howmet Aerospace curates a strong working environment through opportunities for career progression, community engagement activities, and flexible schedules contingent upon role and location. The salary range for this position is $18.82- $31.43
About Us
Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $7.4 Billion in revenue in 2024, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2024 Environmental Social and Governance /esg-report. Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube.
Equal Opportunity Employer:
Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.
If you need assistance to complete your application due to a disability, please email [email protected]
About the Team
Howmet fastening systems are the premier aerospace and industrial fasteners, latches, bearings, fluid fittings and installation tools. Our products are used nose to tail on commercial and military defense aircraft, as well as on jet engines, automobiles, commercial transportation vehicles, wind turbines, solar power systems, and construction and industrial equipment.
Job Category: Operations - Machine Operator
Requisition Number: CNCMA001704
Posted: June 10, 2025
Full-Time
On-site
Hourly Range: $16.34 USD to $24.50 USD
Rate: $20 USD per hour
Location: Lithia Springs, GA 30122, USA
Job DetailsDescriptionThis position is responsible for setting up and operating CNC machining centers, mills, lathes, and router equipment. The Machine Operator produces quality product according to precise specifications within time constraints. At some locations, this position will also include general warehouse duties such as shipping and receiving. In this position, the employee will work with moderate supervision.
Essential Functions- Sets up and operates production machinery such as CNC saws, lathes, milling machines, drills, shapers, boring mills and grinders to fabricate and repair parts and products. Works with some guidance from supervision.
- Reading and Interpreting Documentation and Product Quality - Reads and interprets blueprints, sketches, and parts lists. Studies and interprets assembly instructions and verifies specifications. Conducts dimensional and visual part inspections to prints and specifications using standard quality assurance inspection equipment.
- Responsible for maintenance of equipment - Completes preventative maintenance, troubleshoots malfunctions, and performs minor repairs as needed. Communicates errors in product, equipment, and other issues that may arise in fulfilling orders.
- Performs general warehouse duties - Fills orders in a timely manner by operating warehouse equipment and machinery including operating a forklift, computing and optimizing yields, and cutting material to size. Loads and unloads delivery trucks as needed, using SAP to receive and ship materials. Processes operational activities in SAP through work orders and prepares proper documentation including transfer orders, bills of lading, delivery notes, work orders, call tags for non-conforming material and others as required.
- Problem solving and Communication - Resolves assembly and production issues and communicates errors in the product line, equipment and or issues in fulfilling orders.
- Safety and Continuous Improvement - Participates actively in Continuous Improvement activities and submits ideas to help drive improvement. Ensures the workplace and environment are clean and safe. Follows Company Safety policies and procedures and looks for ways to improve safety.
- Performs other duties as assigned.
- Detail Orientation
- Multi Tasking
- Sense of Urgency & Work Ethic
- Creativity & Innovation
- Communication Skills
- Process Improvement & Best Practices
High School or better.
PreferredTechnical/other training or better.
ExperienceRequired2 years: CNC Setup and Operation in a machine shop environment
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Advanced knowledge of machine operations.
Working knowledge of ALL machines including but not limited to starts, stops, cooling water controls, adding blow agent.
Reads work order and specifications to determine job specifications such as type and quantity of spools, pallet types, stacking patterns and others.
Deposits materials into bins manually or using hoist.
Enters commands to retrieve and activate preprogrammed instructions from computer.
Performs prescribed quality control inspections.
Troubleshoot and diagnose minor machine and robot operational problems.
Responds appropriately to machine alarms.
Observes robotic operation, and monitors machine controller for malfunctions and error messages.
Notifies supervisor and/or other designee of programming or operating problems, when needed.
Effectively stacks, wraps and labels finished goods according to specifications.
Maintains cleanliness and organization within prescribed areas.
May perform simple machine maintenance, such as cleaning.
May assist or perform testing procedures for changes to materials and finished goods.
Be a good example to co-workers, regarding work ethic, teamwork, attendance, safety and quality.
Attends and participates in the morning meetings with employees at shift change.
May be required to become certified and operate a variety of forklifts.
Adapt to job changes as needed, depending on workflow.
Physical Demands/Requirements
Must be able to stand, stoop, reach, grasp, sit or stand for long periods of time, and lift up to a maximum of 50 lbs. safely.
Noise level in materials area at times can be loud.
Must be willing and able to abide by all safety policies.
Day or night shift; rotating 12-hour shifts, resulting in 36 hours one week, 48 hours the next week; every other weekend. Work is required on most holidays.
Non-climate-controlled plant environment; standard hazards within a manufacturing plant where safety precautions and personal protective equipment must be maintained at all times.
Requirements
1-3 years of experience, injection molding experience a plus.
High school diploma or equivalent.
Written and oral communications.
Mechanical and technical aptitude aimed at controlling and operating complex machinery.
Time management and critical thinking skills.
Our companies Axjo America Inc. North Carolina Role Production Locations Conover Employment type Full-time
NOW HIRING: Entry-Level Machine Operators All shifts (Training Provided) – Brillion, WI
Looking for a steady manufacturing job with reliable hours and a clear path to grow? This well-known Brillion manufacturer is hiring entry-level Machine Operators and will train the right people from day one.
PAY + SHIFT OPTIONS
- 1st Shift: Mon–Thurs | 4:30 AM–2:30 PM | $17/hr
- 2nd Shift: Mon–Thurs | 2:30 PM–12:30 AM | $19/hr
- Includes $2/hr shift premium (training may begin on 1st shift for 1+ weeks)
- 3rd Shift: Sun–Thurs | 9:30 PM–5:30 AM | $18/hr
- Includes $1/hr shift premium (training begins on 1st shift for ~3 weeks)
There will be Mandatory overtime on Fridays
WHY YOU’LL LIKE THIS ROLE
- Paid training provided – no machine experience required
- Consistent schedules (no rotating shifts)
- Stable, long-term opportunity in manufacturing
- Team-focused environment with an emphasis on safety and quality
- Growth potential as you build skills and experience
WHAT YOU’LL DO
- Operate and monitor production equipment safely
- Follow standard work instructions to ensure quality
- Inspect parts and communicate issues as needed
- Support your team to meet daily production goals
- Keep your work area clean and organized
WHAT WE’RE LOOKING FOR
- Reliable attendance and punctuality
- Willingness to learn and follow processes/training
- Able to stand for the shift and perform repetitive motions
- Able to lift up to 35 lbs as needed
- Detail-oriented with good hand-eye coordination
- Safety-minded and works well with a team
READY TO APPLY?
Apply today or you can call Kristin at 92 or email her at for more details.
ABR Employment Services is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veterans' status.PandoLogic. Keywords: General Machine Operator, Location: Brillion, WI - 54110
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
WE ARE CURRENTLY ACCEPTING APPLICATIONS FOR A 2ND SHIFT MACHINE OPERATOR AT NEW OXFORD CONTAINER FACILITY
RESPONSIBILITIES:
Set-up rails, print, and die cut section on Flexo accurately in accordance with proper setup techniques.
Inspect all dies before and after run to ensure that any necessary repairs are made before the next run.
Ensure all bolts for cutting dies are in place and tightly secured.
Monitor box quality, including, but not limited to, loose liner, warp, correct size, and print. Check rolls for damage.
Maximize the utilization of equipment by operating the machinery at available capacity and speed.
Assist Operator, Assistant Operator and Utility with job duties on the machine.
Complete necessary reports in an accurate and timely manner, including but not limited to: Production Data Machine Operational Status, Safety Data, Quality Data.
Turn in maintenance work orders to supervision for needed repairs.
Complete annual food packaging safety training.
Report any discovered food packaging safety risks or concerns.
Comply with all company policies and procedures, including safety and maintaining good housekeeping.
Adhere to production schedule and make recommendations for optimizing the schedule to meet cost, quality and service goals. Report any unusual scheduling issues to Supervisor.
BASIC QUALIFICATIONS:
High school diploma/GED.
Ability and willingness to work overtime on short notice, both during the week and weekends.
Ability to work in manufacturing environment, with varying temperatures.
Must be authorized to work in the U.S.
PREFERRED QUALIFICATIONS:
Experience in a packaging or other manufacturing environment.
6 months experience working on a Flexo machine.
KNOWLEDGE, SKILLS & ABILITIES:
Ability to work in a fast paced environment and handle multiple requests simultaneously.
Ability to work within a team and effectively communicate with members.
