Assembly Machine Language Jobs in Usa

Senior Director of Warehousing & Assembly Operations

About the Role

This is a rare opportunity to step into a highly visible leadership role within a successful and growing organization. Dimora Brands continues to expand its footprint, product offerings, and operational capabilities, creating meaningful opportunities for leaders who want to make a lasting impact. The Senior Director of Warehousing & Assembly will lead high-performing teams across a multi-site network. This role offers the ability to directly influence strategy, drive measurable operational improvements, and implement transformative change across the company. For an ambitious operations leader, this position provides significant exposure, executive partnership, and clear opportunities for continued advancement within a thriving organization.

About Dimora Brands

Dimora Brands is the parent company of industry-leading brands including Hardware Resources, Top Knobs, Wolf Home Products, Atlas Homewares, and Task Lighting. Across our portfolio, we design, engineer, manufacture, and distribute decorative and functional hardware, cabinet organizers, cabinets, wood products, and LED lighting solutions.

We proudly stock over 24,000 SKUs and ship same-day from strategically located distribution centers nationwide. Our success is driven by operational excellence, hard work, and a strong commitment to serving manufacturing, showroom, wholesale, retail, and e-commerce customers. At Dimora Brands, we foster a high-performance, team-oriented culture where leaders are empowered to build, innovate, and drive meaningful impact.

Position Summary

The Senior Director of Warehousing & Assembly is a network-wide operations leader responsible for the strategic direction, performance, and continuous improvement of:

• Hardware Resources (warehouse functions/ cabinet assembly)
• Top Knobs warehouse network
• Task Lighting Operations (assembly/warehouse functions)

This role leads a multi-site distribution and assembly network and is accountable for driving operational excellence across Safety, Quality, Delivery, Cost, and Talent. The Senior Director ensures standardized processes, consistent execution, strong financial performance, and best-in-class customer service across all facilities. The Senior Director will take well-established, well-functioning operations and engage in continuous improvement to strive for excellence in all key areas.

This leader will function as a change agent, building high-performing teams, implementing standardized operating procedures (SOPs), and driving Lean process improvements across the network. This role requires a strong cross-functional partnership with Sales, Customer Service, Product Quality, Logistics, Supply Chain, and Executive Leadership to ensure operational alignment and customer satisfaction.

Key Responsibilities

Network Operations Leadership

• Provide strategic and operational leadership for all Dimora Brands warehousing/cabinet assembly and Task Lighting assembly operations.
• Lead and develop DC Managers and site leadership teams.
• Ensure all facilities are staffed, trained, equipped, and operating within company guidelines and performance expectations.
• Serve as escalation point for operational performance gaps and customer service issues.

Performance & KPI Accountability

• Drive execution across all key performance metrics:
• Safety
• Quality
• Delivery / Service Levels
• Cost Management
• Talent Development
• Establish and monitor standardized scorecards across all sites.
• Identify performance gaps and implement corrective action plans with urgency and accountability.
• Own and manage regional operating budgets, capital planning, and cost control initiatives.

Scope

• Leads 10+ locations across the US
• Reports directly to the COO
• Manages a team of 225+ direct and indirect reports

Process Standardization & Continuous Improvement

• Lead the development, deployment, and compliance of standardized SOPs, playbooks, and best practices across all warehouse and assembly sites.
• Drive Lean leadership principles and structured problem-solving processes to eliminate waste and improve productivity.
• Lead focused improvement events and cross-functional initiatives.
• Ensure strong audit processes are in place to maintain operational discipline and process consistency.

Assembly & Value-Added Operations (Task Lighting and NorthPoint Cabinetry)

• Oversee assembly/manufacturing workflows to ensure quality, throughput, and efficiency targets are met.
• Partner with Product Quality and Engineering to ensure product standards and compliance.
• Optimize labor planning, workflow design, and material flow to support scalable growth.

Talent Development & Organizational Leadership

• Build and sustain a high-performance culture across all distribution and assembly operations.
• Assess training and development needs across the network.
• Coach and mentor warehouse and operations leaders; develop a strong leadership pipeline.
• Identify high-potential talent and create succession planning strategies.
• Foster a culture of accountability, collaboration, and continuous improvement.

Cross-Functional Collaboration

• Partner closely with Sales to ensure customer expectations and service requirements are met.
• Collaborate with Customer Service to quickly resolve order processing errors and service disruptions.
• Collaborate with Supply Chain, Logistics, and Product Quality to ensure seamless operational flow.
• Communicate disruptions, risks, and opportunities to Executive leadership in a timely and solutions-oriented manner.

Network Optimization & Growth Support

• Support new program launches, warehouse expansions, and facility relocations.
• Evaluate network capacity and scalability to support business growth.
• Lead technology adoption and warehouse systems improvements.
• Provide operational leadership during times of transition or leadership gaps within facilities.

What Success Looks Like

• A standardized, high-performing warehouse and assembly network operating with consistency and discipline.
• Strong safety record and compliance across all facilities.
• Improved service levels and reduced order errors.
• Measurable cost efficiencies and productivity gains.
• Engaged, developed leadership teams with a clear succession pipeline.
• A culture of urgency, accountability, and continuous improvement.

Qualifications

Experience

• 10+ years of progressive leadership experience in warehouse, distribution, logistics, and/or light manufacturing/assembly operations.
• Minimum 5+ years leading multiple sites with demonstrated success driving measurable performance improvement.
• Experience implementing Lean methodologies and structured problem-solving processes preferred.
• Proven success managing budgets and driving cost optimization initiatives.

Education

• Bachelor’s degree in Supply Chain, Logistics, Business, Operations Management, or related field required.
• MBA or advanced degree a plus.

Skills & Competencies

• Strong leadership presence and leadership capability.
• Demonstrated ability to lead through change across geographically dispersed teams.
• Deep understanding of inventory control, order processing, shipping systems, and warehouse technology.
• Strong financial acumen and data-driven decision-making skills.
• Lead by example work ethic
• Excellent communication and relationship management skills across multiple organizational levels.
• Highly organized and effective in fast-paced, multi-time-zone environments.

Additional Information

• Based at a Dimora Brands location (Dallas, Bossier, or Branchburg preferred).
• Regular travel to distribution and assembly facilities (approximately 25–40% domestic travel).
• Must conduct all company affairs in a professional and ethical manner.
• Post-offer background check and drug screen required.

Position Summary

We are seeking a highly skilled and detail-oriented Electro Mechanical Assembly Technician to join our manufacturing team. The ideal candidate will have experience assembling complex, multi-faceted assemblies and sub-assemblies in a structured production environment. This role requires strong mechanical aptitude, a deep understanding of assembly hardware and consumables, and a commitment to quality and process control.

Attention to detail, adherence to quality standards, and the ability to work from engineering drawings and work instructions are critical for success in this position.

Key Responsibilities

• Assemble complex mechanical assemblies and sub-assemblies according to engineering drawings, work instructions, and specifications
• Interpret blueprints, BOMs, and assembly documentation
• Verify correct materials, hardware, and components prior to assembly
• Use hand tools, power tools, torque tools, pneumatic tools, and specialty fixtures appropriately
• Install various hardware types including fasteners, rivets, threaded inserts, pins, bushings, fittings, and mechanical components
• Apply proper assembly consumables (adhesives, sealants, thread lockers, lubricants, etc.) per specifications
• Perform in-process inspections and verify dimensional and visual quality requirements
• Maintain traceability and material verification in accordance with quality system requirements
• Document assembly steps and record required production data accurately
• Identify and escalate quality issues or discrepancies
• Maintain a clean, organized, and safe work environment
• Support continuous improvement initiatives within the production process

Required Qualifications

• 2+ years experience in mechanical assembly (manufacturing environment preferred)
• Experience with complex, multi-component assemblies and sub-assemblies
• Strong understanding of mechanical hardware types and proper installation methods
• Knowledge of assembly tools including torque wrenches, drills, presses, and precision measuring tools
• Familiarity with assembly consumables and proper application techniques
• Ability to read and interpret engineering drawings and technical documentation
• Experience working within a quality management system
• Strong attention to detail and commitment to producing high-quality work
• Ability to verify materials and components against documentation
• High mechanical aptitude

Preferred Qualifications

• Experience in aerospace, industrial equipment, or precision manufacturing
• Familiarity with AS9100, ISO 9001, or similar quality systems
• Experience with material traceability and inspection documentation
• Ability to perform basic quality inspections using calipers, micrometers, and gauges
• Experience working with ERP or manufacturing tracking systems

Key Competencies

• Detail-oriented and process-driven
• Quality-focused mindset
• Strong organizational skills
• Ability to work independently and as part of a team
• Strong problem-solving skills
• Dependable and accountable

Physical Requirements

• Ability to stand for extended periods
• Ability to lift up to 50 lbs
• Ability to use hand tools and perform repetitive tasks

Job Summary:

The Upper Body Assembly Engineer / Senior Technician is responsible for the assembly of upper body products, including dry box and refrigerated (reefer) units. This role requires strong hands-on technical expertise, thorough knowledge of assembly processes, and the ability to work effectively within a production environment to ensure quality and efficiency.

Key Responsibilities:

• Perform assembly of upper body products, including dry box and reefer units, in accordance with engineering drawings and work instructions

• Operate and maintain assembly tools and equipment safely and effectively

• Ensure proper use of materials and components during the assembly process

• Identify and report assembly issues, defects, or process improvements

• Collaborate with engineering, quality, and production teams to support continuous improvement

• Comply with all safety, quality, and production standards

Qualifications & Experience:

• Engineer or Senior Technician background in mechanical or related fields

• Proven experience in upper body assembly, preferably dry box and/or reefer products

• Strong understanding of assembly line operations, tools, and materials

• Ability to read and understand technical drawings and assembly documentation

• Bilingual proficiency in English and Chinese is highly preferred

• Strong attention to detail and ability to work independently as well as in a team environment

Work Environment:

• Manufacturing and assembly line setting

• Requires hands-on work with mechanical tools and equipment

Position Summary

603 Manufacturing is seeking a detail-oriented Cable Assembly Engineer to support the development and optimization of cable and wire harness manufacturing processes. This role is responsible for creating clear, accurate, and efficient work instructions for production teams, ensuring consistent quality and manufacturability of cable assemblies. The ideal candidate has hands-on experience with cable assembly manufacturing and a strong ability to translate engineering documentation into practical, production-ready instructions.

Minimum Qualifications

Education:

• Bachelor’s degree in Mechanical, Electrical Engineering, or a related field required.

Experience:

• 3–5 years of experience creating work instructions for cable assembly manufacturing.
• Experience working in a manufacturing environment involving cable assemblies or wire harnesses.
• Experience with Lean Manufacturing, Six Sigma, and process improvement tools.
• Knowledge of IPC-620 and IPC-620-S.

Knowledge:

• Strong knowledge of manufacturing process development, process validation, and continuous improvement.

Skills:

• Ability to read and interpret electrical schematics, cable drawings, and assembly prints.
• Strong documentation and technical writing skills.
• Proficiency with Microsoft Office (Word, Excel, PowerPoint) and documentation tools.
• Experience with ERP/MRP systems and manufacturing documentation is preferred.
• Strong attention to detail and organizational skills.
• Ability to collaborate effectively with cross-functional teams.

Job Responsibilities

• Develop and maintain detailed work instructions and visual documentation for cable and wire harness assembly processes.
• Interpret customer drawings, schematics, and specifications to create accurate manufacturing documentation.
• Collaborate with production, quality, and engineering teams to ensure processes are efficient, repeatable, and compliant with customer requirements.
• Support new product introduction (NPI) by developing manufacturing processes and documentation.
• Create and maintain Bills of Materials (BOMs), process flows, and routing instructions in the company ERP/MRP system.
• Evaluate assembly processes and recommend improvements to increase efficiency, quality, and throughput.
• Assist with troubleshooting manufacturing issues related to cable assembly processes and documentation.
• Ensure documentation aligns with quality standards and internal procedures.
• Support training of production staff on new or updated work instructions.
• Participate in continuous improvement initiatives within the manufacturing environment.
• Ensure compliance with aerospace, space, and defense industry standards such as AS9100, IPC/WHMA-A-620, NASA STD-8739, and customer-specific requirements.
• Resolve production issues by collaborating with quality and engineering manager to identify root causes and implement corrective actions.

Internal and External Relationships

This position interacts with multiple departments on a regular basis, including engineering and quality. This position will also be highly interactive on the Production floor, working with the Assemblers.

About 603 Manufacturing

Located in Hudson, NH, 603 Manufacturing, a Trexon company, opened for business in 1998. We are an awarded manufacturer of cable assemblies and electro-mechanical assemblies. 603 Manufacturing is truly a diversified contract manufacturer, servicing the Defense, Aerospace, Industrial, Medical & Commercial industries. We offer a comprehensive benefit package including a 9/80 work schedule.

603 Manufacturing 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, or veteran status. 603 Manufacturing is an E-Verify Participant. Pre-employment drug/alcohol/background screening is required.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

• 
  
• Assemble, bond, and finish composite parts and subassemblies
  
• Perform secondary bonding, hardware installation, drilling, trimming, and sanding
  
• Prepare bonding surfaces and mix/apply structural adhesives per specifications
  
• Align, fit, and inspect parts to meet dimensional and tolerance requirements
  
• Follow assembly drawings, travelers, and work instructions
  
• Complete required manufacturing and quality documentation
  
• Support rework, repair, and continuous improvement activities
  
• Adhere to safety, environmental, and quality system requirements
  

• 
  
• Provide daily direction and task assignments to composite assembly personnel
  
• Serve as the primary technical resource for troubleshooting bonding and assembly issues
  
• Train and mentor technicians on proper techniques, safety practices, and quality standards
  
• Monitor workflow to ensure schedule adherence and efficiency
  
• Coordinate with production supervisors, engineering, and quality to resolve issues
  
• Promote a safe, organized, and compliant work environment
  
• Provide input on performance feedback and serve as acting supervisor when required
  

• 
  
• Ability to read and interpret engineering and assembly drawings
  
• Familiarity with hand tools, measuring equipment, and bonding tools
  
• Understanding of adhesive bonding and surface preparation techniques preferred
  
• Strong mechanical aptitude and attention to detail
  
• Ability to work safely with chemicals and adhesives
  
• Effective communication and leadership skills
  
• Strong organizational and problem-solving abilities
  

• 
  
• High school diploma or equivalent required
  
• Prior experience in composite assembly, aerospace manufacturing, or mechanical assembly preferred
  
• On-the-job training may be provided for entry-level candidates
  

Machine Vision / Controls Engineer

Do you enjoy:

• Working on new automation challenges every few months
• Performing vision feasibility testing and proving out inspection methods
• Researching and implementing new automation technologies
• Managing your work with a high level of autonomy
• A blend of desk work (~70%), shop work (~20%), and field work (~10%)
• Working in a small engineering-driven company where your work has visible impact

Job Description:

We are looking for a Machine Vision / Controls Engineer to join our fast-paced automation engineering firm. This role focuses on developing machine vision inspection systems while also supporting controls development and feasibility testing for custom automation equipment.

You will perform vision feasibility studies, camera/lens/lighting selection, and vision programming, primarily using Keyence Machine Vision systems. In addition, you will support PLC programming, system integration, and automation debugging on our custom machines.

This position works closely with mechanical, electrical, and controls engineers to integrate machine vision, robotics, motion control, and PLC systems into complete automation solutions.

Engineered Vision is dedicated to improving how factory automation projects are implemented through transparency, quality, and speed.

Duties:

• Perform machine vision feasibility testing in our lab to validate inspection concepts and system performance
• Size and select cameras, lenses, and lighting for vision inspection applications
• Develop and program machine vision systems (primarily Keyence)
• Integrate vision systems with robots, PLCs, and motion control systems
• Program and support PLC controls systems (primarily Allen Bradley ladder logic)
• Assist with controls debugging and automation system integration
• Support machine builds, testing, and troubleshooting in the shop
• Assist with system commissioning and startup at customer facilities
• Create and maintain vision documentation, feasibility reports, and technical documentation
• Collaborate with mechanical and electrical engineers to optimize inspection and automation performance
• Deploy systems at customer facilities and perform service work
• Travel up to 15% (mostly within 250 miles of Columbus, Ohio)

Required Qualifications:

• US Citizenship Required (we work on Government Projects – Green Card will not be acceptable)
• Must live in the Columbus, Ohio area
• Bachelor of Science in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or related field
• Experience performing machine vision feasibility testing and inspection development
• 2+ years experience working in industrial automation including: selecting vision cameras/lenses/lights, feasibility testing, and vision programing
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments
• Strong documentation and communication skills

Preferred Qualifications:

• 5+ years experience working in industrial automation selecting vision cameras, lenses, and lighting
• 2+ years experience with machine vision programming of Keyence Machine Vision Cameras
• 2+ years experience working with a custom machine builder as a controls engineer
• Experience integrating vision with robots and PLC systems
• Experience with industrial lighting design and lens selection
• Customer run-off and field troubleshooting experience
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments

About Us:

Engineered Vision is a small custom machine builder focused on newer technologies including robots, machine vision, and motion control. We opened our doors to deliver affordable automation fast, with typical project sizes ranging from $100k–$2MM.

Engineered Vision is one of the fastest growing custom machine design and engineering firms in Columbus, Ohio. We integrate our machines across industry boundaries and pair the latest technologies with real industry needs to deliver strong ROI.

We consider our shop an engineer’s playground with robots, machine vision systems, CNC machining, and 3D printing.

We look forward to working with you.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance

Schedule: Full-Time

Work Location: In person

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:

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: