Assembly Machine Code Converter Jobs in Usa

Aircraft Composite Assembly Technician

Contract: 6–12 months (extension possible)

Location: Mountain View, CA

Pay Rate: Based on experience

We’re looking for a hands-on Composite Assembly Technician with experience in bonding, structural assembly, and composite repairs. You’ll work with advanced materials, tooling, and engineering teams to bring cutting-edge aircraft from concept to flight.

Responsibilities:

Perform composite bonding, assembly, and repairs

Interpret engineering drawings and digital work instructions

Use molds, fixtures, and specialized tools for precision builds

Collaborate with engineering and quality teams

Help improve manufacturing processes

Qualifications:

4+ years of composite bonding experience

Strong understanding of aerospace materials and assembly techniques

Ability to read engineering drawings

High attention to detail and craftsmanship

Nice to have:

Laser tracker experience

Additive manufacturing exposure

Advanced surface finishing skills

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

AP Executive Staffing (APX) is partnering with a leading global manufacturing company located in Niagara Falls to hire Senior Mechanical Technicians for a rapidly growing fluid technology product line. This 1st Shift (Mon–Fri, 6:00 AM–2:30 PM), hands-on role assembles large, industrial enclosures and packaged system builds.

What you’ll do:

• Assemble HVAC enclosures and packages from engineering drawings
• Install piping, conduit, cladding, roof panels, and superstructures
• Perform hydrostatic testing and required measurements
• Read and interpret engineering drawings & P&ID diagrams
• Work safely at elevated heights with proper PPE

Experience Requirements:

• 2+ years hands-on experience assembling large, industrial, electrical-mechanical systems
• Proficiency with hand & power tools (cutting, drilling, tapping, threading)
• HS diploma or equivalent + trade training
• Pipefitting or mechanical assembly experience strongly preferred
• Ability to read assembly/engineering drawings strongly preferred

Compensation: $24–$28/hour |

Why apply:

• Our customer is growing rapidly, as a pioneer and industry leader in designing, engineering, and manufacturing advanced fluid-flow equipment
• Day-one Medical, Dental & Vision
• 401(k) with 5% match
• Paid Holidays & PTO
• Consistent weekday schedule (Mon–Fri, 6:00 AM–2:30 PM)

H&K does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, age, disability, veterans' status, or any other characteristic protected by law. We are always looking for the best, most qualified people to join our team.

Pre-employment drug testing (EOE)

Great Benefits offered!

Concrete Block Machine Operator

US-PA-Easton

Job ID: 2026-2911
Type: Regular Full-Time
# of Openings: 2
Category: Contracting
Easton Block & Supply

Overview

Easton Block & Supply of the H&K Group, Inc., is seeking a motivated individual to help operate their block plant! The Concrete Block Machine Operator operates a batching system that feeds aggregates, cement, and water mixed together creating the ideal mix design to form a strong dependable block.  Once the material is mixed, it is the operators job to set machine parameters that will feed and form the concrete block with high levels of vibration.  After a minimum of 16 hours the block is cured enough that it can be handled and formed to be shipped at a later date.  The operator is responsible for operator the dry side of the machine that creates a safe practical pattern to be shipped.  All of this while monitoring our quality standards set by the industry and Easton Block specifications. The ideal candidate is dependable, adaptable, and strives to continuously build knowledge and skills.

Why work for H&K Group, Inc.?

• Competitive salary commensurate with experience

• 100% Company-paid Health Benefits

• 401(k) Savings and Investment Plan

• Tuition reimbursement programs available to qualifying employees for approved programs

• Additional training opportunities including on the job, online through the H&K Academy, manufacturer offered training, and more

Responsibilities

Essential Duties and Responsibilities 

• Perform all work adhering to OSHA and H&K Safety policies

• Understands the proper mixing sequence of Grey Block and applies that to the batching system to create the ideal mix design. 

• Operates the wetside of the Block Machine with the set parameters and monitors moisture, dimensions, color and imperfections of the block

• Operates the dryside of the Block Machine with set cube patterns for ideal shipping

• Dislodges block jams that cause machine downtime by hand or equipment designed to help the operator in tight spaces. 

• Removes materials or products from discharge end of conveyor that are deemed scrap and disposes of them in the proper waste container

• Inspects materials or products for damage or for conformity to specifications

• Uses hoist to assist in mold changes of different products

• Stencils, tags, stamps, or writes identifying information on packaged products

• Records production.

• Keeps work area clean and orderly

• Other duties as assigned

Qualifications

Required Skills, Education, and Experience

• One month of related experience and/or training

• Willing to learn how to operate block manufacturing, curing, cubing machinery

• Mechanically inclined and willing to learn basic preventative maintenance/repair on hydraulic, pneumatic, and electrical systems

• Able to use hand and air tools

• Ability to fit test & utilize appropriate PPE as needed

• Ability to meet physical requirements (movement, lifting, as relevant to job)

Preferred Skills, Education, and Experience

• High school diploma or equivalent (such as the GED) from an accredited educational institution

• Experience in heavy manufacturing, civil construction, road construction, or quarries

• MSHA, OSHA or other relevant safety certifications

Physical Demands

• Regularly required to

• Frequently required to walk

• Occasionally required to

• Vision requirements include

Work Environment

• Regularly exposed to

• Frequently exposed to

Easton Block and Supply (EB&S) has been a proud member of H&K Group, Inc.’s (H&K’s) Building Materials segment since 1989. Established on property adjoining affiliate, Easton Quarry (formerly A.B.E. Materials – Easton), our state-of-the-art block plant utilizes raw materials from this facility to produce manufactured concrete block products of exceptional quality. 

H&K Group, Inc. provides complete heavy civil contracting and construction materials solutions with safety, speed, quality, efficiency, and value. Beginning as a small family business a half century ago, we are now a dynamic group of vertically integrated companies that has been growing and prospering for over 50 years.

Thank you for your interest in employment with H&K Group, Inc. At H&K, we invest in our people, providing the essential training, instruction, and supervisory support that they need to develop and grow within our company. We acknowledge that H&K’s strength and success is directly related to our employees and the talents, dedication, and job performance they exemplify. We seek dynamic, motivated people who are driven to make a difference.

Final determination on pay will be made by company leadership consistent with the scope of work and considering the candidates’ education, experience, skills, past performance, demonstrated leadership, and influence.

H&K does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, age, disability, veterans’ status, or any other characteristic protected by law. We are always looking for the best, most qualified people to join our team.

Pre-employment drug testing (EOE)

Pre-employment Physical

100% Company-Paid Health Benefits!

Qualifications

Required Skills, Education, and Experience

• One month of related experience and/or training

• Willing to learn how to operate block manufacturing, curing, cubing machinery

• Mechanically inclined and willing to learn basic preventative maintenance/repair on hydraulic, pneumatic, and electrical systems

• Able to use hand and air tools

• Ability to fit test & utilize appropriate PPE as needed

• Ability to meet physical requirements (movement, lifting, as relevant to job)

Preferred Skills, Education, and Experience

• High school diploma or equivalent (such as the GED) from an accredited educational institution

• Experience in heavy manufacturing, civil construction, road construction, or quarries

• MSHA, OSHA or other relevant safety certifications

Physical Demands

• Regularly required to

• Frequently required to walk

• Occasionally required to

• Vision requirements include

Work Environment

• Regularly exposed to

• Frequently exposed to

Easton Block and Supply (EB&S) has been a proud member of H&K Group, Inc.’s (H&K’s) Building Materials segment since 1989. Established on property adjoining affiliate, Easton Quarry (formerly A.B.E. Materials – Easton), our state-of-the-art block plant utilizes raw materials from this facility to produce manufactured concrete block products of exceptional quality. 

H&K Group, Inc. provides complete heavy civil contracting and construction materials solutions with safety, speed, quality, efficiency, and value. Beginning as a small family business a half century ago, we are now a dynamic group of vertically integrated companies that has been growing and prospering for over 50 years.

Thank you for your interest in employment with H&K Group, Inc. At H&K, we invest in our people, providing the essential training, instruction, and supervisory support that they need to develop and grow within our company. We acknowledge that H&K’s strength and success is directly related to our employees and the talents, dedication, and job performance they exemplify. We seek dynamic, motivated people who are driven to make a difference.

Final determination on pay will be made by company leadership consistent with the scope of work and considering the candidates’ education, experience, skills, past performance, demonstrated leadership, and influence.

H&K does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, age, disability, veterans’ status, or any other characteristic protected by law. We are always looking for the best, most qualified people to join our team.

Pre-employment drug testing (EOE)

Pre-employment Physical

100% Company-Paid Health Benefits!

PIde0f7e74fce

At Jabil, we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

Jabil is hiring a Machine Maintenance Technician to work in its Auburn Hills, MI location. This position is for Monday-Friday 2:30pm-10:30pm (shift differential offered).

How will you make an impact? The Machine Maintenance Technician will be a Subject Matter Expert on all production equipment and will coordinate all activities pertaining to equipment on an assigned work cell. They will also perform maintenance and repairs on production equipment, while also monitoring the daily measurables and correcting issues.

What will you do?

• Performs basic and complex production equipment maintenance, repair, and scheduled preventative maintenance.
• Troubleshoots specific machine-related and process-related issues and resolves them.
• Creates, edits, debugs, and optimizes machine programs.
• Works with internal and external customers and equipment vendors to improve process-related issues.
• Coordinates with other team members, as well as equipment vendors to address issues.
• Works safely at all times and complies with Environmental Health and Safety standards and work practices along with all other work rules.
• May perform other duties and responsibilities as assigned.

How will you get here?

Education:

• High school diploma or equivalent education.

Experience:

• At least 1 year of related work experience with demonstrated practical knowledge in the field.

Knowledge, Skills, Abilities:

• Microsoft Office (Word, Excel, PowerPoint) is required.
• Strong communication skills, both verbal and written.
• Advanced troubleshooting, prioritization, analytical and problem-solving skills
• Ability to understand and perform procedures and work instructions.
• Ability to work under tight deadlines with frequently changing priorities and interruptions
• Ability to utilize advanced tools and follow procedures for maintaining manufacturing controls
• Must obtain and maintain specified Machine Support certifications

Benefits you will receive while working with Jabil:

• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver's license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline ( ), the Federal Trade Commission identity theft hotline ( ) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access /Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to or calling 727-803-7988 with the nature of your request and contact information.

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:

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• 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:
  
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  • 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:

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

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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: