Instructions To Machine Code Converter Jobs in Usa

Location: Shakopee, MN

Job Type: Full-time

Reports to: Weekend Production Supervisor

Schedule: Friday - Sunday, 6am - 6pm

Compensation: $20.00 - $23.00/hour with $2.00 shift differential, depending on experience and qualifications

Benefits: Medical insurance, Dental insurance, Vision insurance, Company paid Life insurance and Long-term disability, Short-term disability insurance, 401k with company match, Profit sharing, Voluntary Accident, Critical Illness, and Hospital Indemnity insurance, Paid Time Off

This position is not eligible for sponsorship.

Family-owned and operated since 1995, By the Yard proudly manufactures maintenance-free outdoor furniture and accessories for families and businesses throughout the United States. From the factory to the showroom, we infuse our operations with eco-consciousness. Our furniture has been made from recycled milk jugs since day one, and we continue to focus on green initiatives to build better furniture and a better future. Check us

Our values include:

Pride

Stewardship

Caring

Teamwork

Mutual Success

Investing in the community

Under the direction of the supervisor, operate machines, tools, and equipment in the Mill Room to complete orders to the highest quality.

Essential Duties and Responsibilities:

• Machine material to meet part specifications utilizing work instructions and/or patterns.
• Ensures accurate completion of paperwork; verify part quality and quantities.
• Setup and operate a variety of saws, drill press, CNC machines, hand drills and other hand tools.
• May operate forklift if certified.
• Follow part specifications to produce machined parts by setting up and operating a CNC machine.
• Follows all work orders provided by management.
• Remains compliant with housekeeping standards and all safety and work rules and regulations.
• Recommends new and better processes, and methods where possible to manager.
• Maintains a clean, organized, and debris free work area.
• May perform some assembly.
• Must have the ability to identify and resolve problems in an efficient manner.
• Perform other duties and responsibilities as requested or required.

While these areas are the primary focus of this position, we believe strongly in teamwork and team members will be called upon to perform a variety of duties as part of their role with By the Yard.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

MINIMUM QUALIFICATIONS:

High school diploma or equivalent.

Experience using tools and equipment.

Perform basic mathematical calculations.

Understand and follow written, verbal and demonstrated directions.

Must have the ability to work closely and efficiently with fellow co-workers.

Must have great organizational skills and be able to multi-task.

Excellent attention to detail.

Must have strong knowledge of quality production.

General knowledge of and ability to use a computer.

Must have strong knowledge of quality production.

PREFERRED QUALIFICATIONS:

2 years or more relevant production or manufacturing experience.

Previous experience operating a variety of saws, drill press, CNC machines, hand drills and other hand tools.

PHYSICAL AND MENTAL DEMANDS:

While performing the duties of this job, the employee is required to regularly stand, and frequently walk, talk or hear. The employee is frequently required to use hands, fingers, handle, or touch objects, tools, or controls. The employee must occasionally stoop, bend or reach above the shoulders, lift and/or move up to 50 pounds, carrying and moving parts, materials, and product. Specific vision abilities required by this job include close vision, distance vision, color vision, and the ability to adjust focus.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.

Compensation details: 20-23 Hourly Wage

PI7c871191bb98-26289-39958995

• 
  
• Ensure a safe work environment for self and others. Follows all safety rules and regulations. Demonstrate commitment to safety program.
  
• Review and follow work instruction, management system procedures and standard operating documents.
  
• Run CNC and manual machines, and hand held tools.
  
• Inspect parts and identify defects and non-conformities. Notify supervisor/lead of non-conformance parts immediately.
  
• Adjust machine settings with assistance when necessary.
  
• Consistently and accurately complete all related paperwork/documentation. For example, inspection reports, part counts, scrap tags, material tags, etc.
  
• Monitor fluids in machine and coolant flow in machine.
  
• Utilizes the 5-S principles (sort, set in order, shine, standardize, and sustain) to maintain an orderly, clean and safe work area.
  
• Regularly meet or exceed efficiency requirements.
  
• Produce parts that meet the Company's quality standards.
  
• Actively participates in CIP events to improve the safety, quality, and efficiencies of our current processes and procedures.
  
• Support and positively contribute to a culture of continuous improvement.
  
• Work at a consistent and steady pace, be prepared to work each day, and report to assigned work center in a punctual manner.
  
• Communicates with supervisor and co-workers in a professional manner
  
• Ensure work center is prepared for the next operator. This includes cleanliness, organization, supporting documentation.
  
• Promote a positive atmosphere. Actively support activities that promote the welfare and morale of TEAM employees.
  
• Will be required to perform other duties as requested, directed or assigned.
  

• 
  
• High school diploma or Equivalent
  
• Manufacturing experience desired but not required
  

• 
  
• Mechanical aptitude
  
• Basic Math skills, must have a working knowledge of decimals
  
• Ability to read measuring instruments
  
• Ability to read and follow work instructions
  
• Must be detail oriented, with the ability to recognize defects and non-conformities
  
• Ability to work with limited supervision
  
• Regular attendance
  

• OJT for Machining Operator I

• 
  
• Ability to frequently lift and/or move up to 20 lbs, occasionally lift and/or move up to 33 lbs., rarely lifting up to 50 lbs.
  
• Ability to stand up to 100% of shift
  
• Ability to do repetitive movements (i.e. bending, twisting, walking)
  
• Able to continuously operate at a minimum of 3 hours
  

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

This 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.

• 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.

Technical/other training or better.

2 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.

Career Fair! Come join us for in-person interviews, job offers will be given out on the spot! See below for details.

Friday March 13th, 2026

10:30 a.m. 1:00 p.m.

Philadelphia Navy Yard

S. 19th & Kitty Hawk Ave Philadelphia, PA 19112

Follow Signs for Entrance

What to bring:

Valid form of I.D

Multiple Resume

* Per OPM: \"With President Trumps Executive Order. All resumes must be two pages in length.

Must have a hard copy of resume.

Job Description

Set up and machines naval ship propellers and propulsor components on large multi-axis machining centers using Siemens 840D Controllers. See more about NFPC at our website:

Responsibilities include but are not limited to:

Set up the appropriate machine and related equipment such as jigs, fixtures, boring heads and rotary tables.

Selects appropriate cutting tools, installs and aligns them in the machine

Reads blueprints and specifications to determine appropriate machining approach

Operates various machines controlling speed and feed

Checks dimensions at various stages using precision mechanical measurement equipment and laser inspection equipment (FARO Laser Trackers)

Qualifications Required for the Position

Minimum 3 years of machining experience. CNC machining experience is preferred.

Experience with Siemens 840D controllers and laser tracking inspection equipment a plus

Machined & Fabricated Buyer is responsible for sourcing, quoting, and purchasing machined and fabricated parts while developing supplier relationships and driving continuous improvement. You will support cost reduction initiatives, evaluate supplier capabilities, and ensure the quality and reliability of critical components used in production.

On Site- Bedford/Lynchburg VA Market

US Persons

This role requires strong mechanical aptitude, the ability to read and interpret engineering drawings, experience in a manufacturing environment, and an interest in long-term strategic procurement work.

Key Responsibilities

• Source, purchase, and negotiate pricing for machined and fabricated components
• Review and interpret engineering drawings, blueprints, and technical specifications
• Obtain, evaluate, and compare supplier quotes and estimates
• Perform cost and labor analysis for machined/fabricated parts
• Work closely with Engineering, Quality, and Production teams to ensure supplier alignment
• Develop supplier relationships and monitor performance on quality, cost, delivery, and capability
• Support make/buy decisions, process improvements, and new product/component launches
• Maintain accurate purchasing data and documentation within ERP systems
• Drive strategic initiatives including cost savings, risk mitigation, and supplier consolidation
• Support sourcing for components involving bearings, motors, and other mechanical assemblies
• Work fully onsite in Lynchburg to collaborate with cross-functional manufacturing teams

Required Qualifications

• Bachelor’s degree in Business (required)
• 3+ years of purchasing and/or sourcing experience in a manufacturing environment
• Ability to read and interpret technical drawings
• Strong mechanical aptitude; familiarity with machining or fabrication processes
• Proficiency in Microsoft Office (Excel, Word, Outlook)
• APICS or Supply Chain Management certification preferred
• Strong communication, negotiation, and supplier management skills
• Must be authorized to work in the U.S. and work onsite in Lynchburg, VA

Preferred Background (Highly Attractive)

• Prior machinist, tool & die, or machine shop experience
• Background in estimating or quoting machined parts
• Experience with bearings, motors, and mechanical components
• Technical buyer, estimator, or strategic sourcing specialist experience
• Understanding of manufacturing workflows, tolerances, and machining terminology

Why This Role Attracts Strong Lynchburg Manufacturing Talent

• Hands-on collaboration with engineering and production
• Opportunity to step into strategic sourcing, not just transactional buying
• Work with complex machined and fabricated components
• Ability to influence supplier selection, cost, and quality
• Growth path into senior strategic sourcing roles

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records.

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. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

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:

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.

Our Commitment to Inclusion:

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

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

Final date: Saturday, Mar 28, 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 a Professional Researcher 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 researcher will conduct independent research at a level comparable to the Professor series.

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.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

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

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

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*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/C++, MATLAB, Bash.

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

*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.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 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
  

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.

Our Commitment to Inclusion: