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Manager II, Machine Learning-Search
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.


We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.



What you will do:



  • The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  • Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  • Deeply understand the Pinterest search product, and drive the vision for the team.
  • Provide visibility for senior leadership into the team's global impact.
  • Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  • Mentor and grow managers, leaders and engineers on the team.
  • Build a culture of excellence and expertise.


What we are looking for:



  • Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  • Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  • Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  • A knack for product and impact on users of a consumer product.
  • 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  • Bachelors degree in computer science or related technical field, or equivalent experience


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.


Relocation Statement:



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

#LI-REMOTE


#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Manager II, Machine Learning-Content Success
🏢 Pinterest
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.



What you'll do:



  • Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  • Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  • Help the team solve difficult technical challenges such as:

    • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    • How to identify and remove biases from existing recommendation systems?
    • How to experiment with and measure the impact of content acquisition changes on the user experience?
    • How to enhance the titles of new content to increase their engagement?



What we're looking for:



  • 7+ years of industry experience, including 2+ years of management experience.
  • Experience with:

    • developing and deploying large-scale machine learning systems in search and recommendations.
    • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    • applying NLP models and LLMs to content understanding and recommendation systems.

  • Experience building and leading high performing teams within a visible business vertical .
  • Experience working with numerous cross functional partners to drive a collective initiative.
  • Bachelors degree in a technical field, or equivalent work experience.


Relocation Statement:



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


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.


#LI-REMOTE


#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Machining Support Operator I - Night Shift
Salary not disclosed
Middletown, CT 2 days ago
Responsibilities:

  • Work under the direction of the Group Leader, and with limited supervision, perform various finishing operations on a variety of machined parts having close tolerance specifications. Employ 5S and Lean Manufacturing skills in every day work practices.
  • Work from blueprints and verbal/written work instructions, set up tools and machinery needed to perform deburr and secondary operations on piece parts. This includes but is not limited to hand deburring, drilling, tapping, sand blasting, tumble deburring, and Passivation (Stainless Steel cleaning process).
  • Perform repetitive deburring, polishing, grinding, and buffing operations on standard piece parts to achieve finish specifications.
  • Set up, adjust and operate various types of drill press equipment to perform difficult and intricate drilling, tapping and counter-bore operations. Perform general shop work such as drilling, machining and sanding.
  • Obtain and maintain certification to perform Passivation, abrasive blasting, and Molykote or Dry Film Lube application.
  • Examine and inspect piece parts to ensure conformance to specifications as per operator acceptance program (OAP).

Education: High School diploma or equivalent
Kaman is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other protected characteristics protected by law. Kaman and all its related companies fully endorse equal opportunity for all.
Kaman endeavors to make the careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the Corporate Human Resources department at 86 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
Notice Requirement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Not Specified
Outside Machinist/ Outside Machine Operator (Grades 7 - 9)
Salary not disclosed
Bath, ME 2 days ago
Outside Machinist/ Outside Machine Operator (Grades 7 - 9)

US-ME-Bath

Type: Regular Full-Time

Category: Manufacturing

Salary Grade: ..

Shift: ALL

Overview

The pay range for this position ranges from $30.04/hr - $33.36/hr. Install of ships equipment which includes general machinery, main machinery, weapons systems, remote operating gear etc. which involves layout, tacking, grinding, drilling, reaming, spot facing, bolting, torqueing, testing etc. (but not limited to). And/or Responsible for safely activating, testing and operating of ships, main propulsion and auxiliary systems in accordance with approved procedures, practices and policies. Responsible to comply with approved Departmental Operating Instructions. Read and interpret test memos. Participate in sea trials and work list ship systems to provide direction to the construction mechanics.

Responsibilities

High School Diploma or GED preferred. Experience using basic shop tools, tacking, hand tools, torqueing and portable drilling tools. 2 years Trade or Technical schooling in a mechanical field, or at least 3 years of experience working in a mechanical Field And/or Any of the following: Valid USCG engine license or QMED certification for steam, motor or gas turbine engines A minimum of 3 years Navy or Coast Guard experience in engineering position, minimum E4 pay grade A minimum of 3 years successfully operating and testing shipboard systems

Qualifications

Required - Must be able to read blueprints in detail. Required - Must be able to do layout, read measuring tools, tape measure, inside and outside micrometers, Vernier or dial calipers, and perform simple math calculations. Preferred - Knowledge of equipment alignment, machining, torqueing methods. Preferred - Gas Turbine operating experience Preferred - Hydrostatic flushing and testing systems. Required - Must meet the requirements of the O04 physical task analysis.

Not Specified
Machine Operator (Flexo) - 2nd Shift
✦ New
Salary not disclosed
Lancaster, PA 1 day ago

RESPONSIBILITIES:

  • Responsible for all phases of setting up and operating machinery (flexo folder gluer, rotary die cutter). The Operator is also responsible for productivity, quality, and waste.
  • Set up, operate, and monitor machines.
  • Act as the leader for the crew in training process.
  • Mount printing and cutting dies to cylinder/shaft.
  • Mix and adjust ink viscosity.
  • Perform quality checks on each order.
  • Verify material based on customer requirements, prior to running.
  • Work with team to meet daily goals.
  • Accurately record production data into computer daily.
  • Perform routing preventative maintenance and housekeeping.
  • Follow all process and procedures in place with safety rules and regulations.
  • Perform other duties as assigned.

BASIC QUALIFICATIONS:

  • 2+ years experience as a machine operator.
  • Strong knowledge in troubleshooting machinery.
  • 6 months of packaging or printing experience in Flexo Folder Gluer/Rotary Die Cutter.
  • Strong safety background, good attendance record, and excellent communication skills.
  • Must be authorized to work in the U.S.

KNOWLEDGE, SKILLS & ABILITIES:

  • Ability to understand, execute, and provide verbal and written instructions.
  • Strong problem solving skills.
  • Strong computer skills with the ability to accurately complete all required computer/paperwork tasks.
Not Specified
Machine Design Engineer
Salary not disclosed
Stow, OH 2 days ago

We are currently assisting our client, an industrial manufacturer, with a Machine Design Engineering search in the Stow, OH area.


Responsibilities:

  • Will be responsible for the design and development of comprehensive machinery and automated systems.
  • Engage in collaboration with Project Managers and Engineers to ensure all functional requirements are fulfilled.
  • Oversee projects from the initial concept stage through to successful manufacturing.


Key Requirements:

  • Proven experience in machine and equipment design.
  • Proficiency in 3D CAD software.
  • Ability to develop a concept into manufacturing


Additional Information:

  • All information will be kept strictly confidential
  • Applications will not be considered without a Resume/Curriculum Vitae which includes contact information


Who we are:

• JMI Recruiting Services is a third party search firm that strategically partners with our clients to recruit exceptional talent nationwide. Our customers include Fortune 500, private equity firms, and privately held companies. With our proven process, excellent track record, and willingness to outwork the competition, we consistently deliver quantifiable results.

Not Specified
Machine Builder – 3 Openings (2 Integration, 1 Sub‑Assembly)
Salary not disclosed

Machine Builder – 3 Openings (2 Integration, 1 Sub‑Assembly)


Location: Clinton Township, MI

Schedule: Full-time, Onsite

Type: Long-Term Contract

Requirements: Must pass drug screen and background check


About the Role

We are seeking skilled Mechanical Machine Builders2 Integration Builders and 1 Sub‑Assembly Builder—to join our team supporting automotive equipment build and installation projects. This role requires the ability to work independently with minimal supervision while delivering high‑quality workmanship.


Key Responsibilities

  • Perform mechanical integration and sub‑assembly work for automotive OEM projects (Chrysler, Ford, GM).
  • Work independently on medium-complexity mechanical build projects.
  • Follow equipment installation through all phases, from in-house build to customer-site installation.
  • Assist the project team in resolving technical issues or build concerns.
  • Read and interpret blueprints, mechanical drawings, and BOMs.
  • Update and submit weekly E‑BOM summaries to the Mechanical Supervisor.
  • Verify all parts and assemblies conform to specifications and engineering documentation.
  • Maintain project schedules, track open issues, and meet deadlines.
  • Follow all safety, environmental, and quality system procedures.
  • Maintain a clean, organized work area.
  • Utilize rigging and crane equipment safely and effectively.
  • Perform basic welding as required.
  • Provide and maintain own tools and PPE.


Qualifications

  • Education: One-year certificate from a college or technical school; or
  • 5 years of related mechanical assembly experience; or
  • Equivalent combination of education and experience.
  • Strong understanding of automotive industry build practices.
  • Proficient with standard mechanical tools, rigging, and overhead cranes.
  • Ability to work with minimal supervision while maintaining high-quality output.
  • Reliable, consistent, and punctual attendance is essential.


Additional Details

  • This role requires 100% onsite work.
  • Long-term contract opportunity with full-time hours.
  • Candidates must successfully pass drug screening and background checks.
Not Specified
Junior data analyst/Machine learning engineer
Salary not disclosed
Oakland 2 days ago
CS/IT Graduates or About to be Grads.

Get Hired by taking action.

If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.

A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.

That's why many new grads send hundreds of applications and still hear nothing back.

It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.

Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.

Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.

If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.

Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).

Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral).

No structured pipeline (random applying without feedback loops).

A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you're tired of guessing, stop treating your job search like a lottery.

Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.

If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.

In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Not Specified
Machine Operator I - Decontamination (Days)
✦ New
Salary not disclosed
Redmond 1 day ago
Job Summary Job Description Come join our team at Medline ReNewal in Redmond, Oregon! Our custom-designed production facility is a great place to work and offers employee-friendly perks and benefits.

To learn more about us, check out THIS video on YouTube! We are now hiring for a Decontamination Technician! A Decontamination Technician is responsible for the initial sorting, photographing, decontaminating and drying of all invasive medical devices in the Redmond, Oregon facility.

All work performed must comply with Medline ReNewal’s standard operating procedures as well as FDA guidelines to ensure patient safety.

Decontamination Technicians must be able to work with strong smells (chemicals, body fluids) while handling contamination and/or sharp surgical instruments.

Essential Functions of the Job: Receive containers of devices from receiving team and confirm all necessary paperwork present Sort each bin of incoming contaminated devices by device type in a safe manner Document devices received and forward to appropriate decontamination area or reject if it is a device that is not eligible for reprocessing Take appropriate steps to decontaminate devices which may be one or more of the following; Use chemical soaks to sanitize and loosen debris, Load devices into baskets and place in ultrasonic bath to loosen debris, Steam clean/scrub devices, Scrub devices with variety of implements to remove debris (blood, human tissue) Dry, cleaned devices using compressed air In each duty previously listed, technician must confirm devices are kept separate according to documentation and/or organizational system Verify that devices being sent to next production area are an exact match to documentation and paper records, sign off on documents Assist other departments as needed to ensure production output meets or exceeds goals Other duties as assigned Here’s some highlights of what we have to offer: $1,000 Sign-on Bonus if Hired Set 40-hour Weekly Schedules with Consistent Work Hours Climate Controlled Environment Company Paid Scrubs After 90 Days (uniforms) 3 Choices of Medical Insurance Coverage Dental Insurance Vision Insurance Flex Spending Programs 401k with Company Match Company Paid Life Insurance Company Paid Short and Long-Term Disability Paid Time Off (Vacation, Sick, Holidays) Onsite “Mini-Market” Monthly Employee Treats and Lunches Tuition Reimbursement Program Gym Membership Reimbursement Program Incredible Employee Discounts on Medical Products Required Qualifications: Must be able to communicate in basic English with management and co-workers (Speak and basic reading ability required) Sit or stand for 10 hour shifts with appropriate meal and rest breaks Work in a room with washing machines, dryers, racks, tables, and limited room for movement Work in a room with continuous moderate to high level of noise Lift, push, or pull batches of devices averaging 50 lbs up to 50 times per day Perform repetitive tasks, some of which are small motion tasks through the entire shift Focused and detail oriented to be able to identify product discrepancies or flaws and take appropriate action Preferred Qualifications: High School Diploma or GED Any prior work experience in a manufacturing role is preferred Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position: $17.25
- $25.00 Hourly The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.

Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.

For a more comprehensive list of our benefits please click here .

For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.

We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.

Explore our Belonging page here .

Medline Industries, LP is an equal opportunity employer.

Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
Staff Machine Learning Engineer, Content Quality Signals
🏢 Pinterest
Salary not disclosed
San Francisco, CA 4 days ago

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.



What you'll do:



  • Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  • Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  • Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  • Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  • Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  • Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.


What we're looking for:



  • M.S/ PhD degree in Computer Science, Statistics or related field.
  • Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  • Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  • Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  • Deep hands-on experience in content understanding domains, such as:

    • computer vision (classification, detection, representation learning),
    • NLP (text classification, entity/topic modeling),
    • multimodal / embedding models (e.g., transformer-based representations).

  • Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  • Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  • Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.


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-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
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