Engineering Jobs in Kirkland

Director to VP of Process/Manufacturing & Engineering

Location: Seattle, WA / Reports to: Chief Executive Officer (CEO)

The core of this position is someone who has directly taken a chemical or process manufacturing technology from early stage development through pilot and into commercial production. Specifically someone who has scaled a process based manufacturing system, liquids, heat, pressure, continuous or batch processing, from benchtop or pilot scale to revenue generating commercial scale.

Must have

• Direct experience scaling a process-based manufacturing system from pilot or bench scale to commercial production, ideally with clear quantifiable outcomes.

Strong preference

• Experience doing this scale-up within a startup or resource-constrained environment.
• Background in chemical or process engineering rather than mechanical or discrete manufacturing.
• Experience building operational, quality, and production infrastructure during the early commercialization phase.
• Quantifiable impact metrics around scaling chemical processes. This can take a few different forms, " X size pilot to first $Y M/yr commercial production\" or "Increased production Z%" etc.

Further, someone who has operated across engineering, supply chain, and operations, a true "operations-oriented engineer." High level of independence and drive, ideally someone who proactively flags risks, pushes timelines, and takes ownership of execution.

This is a senior, execution-focused leader, responsible for translating our technology into safe, reliable, on-spec, and cost-disciplined production at scale via our external partner network. You will own the production and engineering strategy, including leading technology transfer, managing contract manufacturer (CM) performance, and driving EPC execution for facility expansion while working with executive leadership to set the strategy for continuous improvement and a large-scale manufacturing network. You will serve as the primary commercial and technical bridge between internal innovation team and the manufacturing environment. This role requires a leader who is equally comfortable turning a wrench, reviewing P& IDs, negotiating multi-million-dollar MSAs, and acting as the owner's representative & quote, on major capital projects.

What You'll Do

1. Strategic Technology Transfer and Scale-up

○ Lead the 'Bench-to-Plant' Interface: Manage the technical hand-off from internal development to external partners, ensuring processes are robust, documented, and ready for commercial-scale production.

○ Scale-Up Oversight: Steward production, quality, and throughput during the critical transition from pilot to commercial runs, troubleshooting as necessary

○ Process Integrity: Ensure high standards for quality and yield is maintained when processes leave our internal control and enter our partner network.

○ Manage all aspects of technology transfer from R&D to contract manufacturing partners, driving tonnage-scale, on-spec production.

○ Planning for Velocity: properly scope and strategically plan timelines to maintain a venture backed pace for scale-up

2. Contract Manufacturing Ownership and Commercial Strategy

○ Commercial Negotiation: Lead the negotiation of Master Service Agreements (MSAs), tolling fees, and other manufacturing contracts. You are responsible for structuring deals that align incentives and protect our interests.

○ Partner Management: Serve as the single point of accountability for CM relationships. Set, track, and enforce KPIs for quality, OTIF delivery, and yield.

○ COGs Ownership: Own the external production cost model and rigorously define cost drivers and partner with the finance team to forecast scenarios and define and refine unit economics.

3. EPC Leadership and Scale Up

○ Project Delivery Strategy: Select and manage the appropriate project delivery model (e.g. Design-Bid-Build vs EPCM) and lead the selection of EPC vendors

○ Front-End Definition: Provide rigorous oversight of FEL/FEED stages to lock in scope before capital commitment.

○ Owner's Representative: Act as primary "Owner's Rep" for all capital projects, holding external firms accountable for schedule, cost, quality, and safety performance, serving as decision maker of change orders.

○ Own the Build: Oversee the physical execution of facility upgrades or new builds, ensuring a seamless handover to operations.

○ Provide technical input into the strategy of where and how to manufacture product to support business growth

4. Quality, Safety, and Risk Management

○ EHS Compliance: Audit and enforce safety standards at CM and any external sites where we are operating.

○ Supply Chain Risk: Identify point of failure in our external network and develop contingency plans for capacity and logistics

○ Quality: Own and maintain Ravel's quality management framework, including oversight of SOPs, documentation, and continuous improvement across internal operations and external partner.

What You'll Bring

● B.S. or M.S. in Chemical Engineering, Process Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Chemistry or a closely related discipline, or equivalent experience gained through progressive responsibility in manufacturing operations. A PhD or MBA is a strong plus.

● 10+ years' experience in chemical/process manufacturing, technology transfer, and/or contract manufacturing at pilot or commercial scale.

● Capital Projects Fluency: Demonstrated experience acting as the "Owner" on a capital project ($20M+). You understand the difference between FEL 1/2/3 and know how to control TIC.

● Commercial Acumen: Strong experience negotiating tolling agreements, joint development agreements, and construction contracts. You know how to structure a deal to protect IP and cash risk.

● Technical Authority: Ability to read PFDs/P&IDs and challenge engineering partners on design.

● Willingness to Travel: This role requires being present where the work is, at CMs and construction sites (approx 30-50% travel)

This is an opportunity to own manufacturing strategy and execution at a company scaling breakthrough technology into the real world. You will shape how we manufacture globally, with executive-level accountability for cost, quality, delivery, and facilities, and play a central role in the company's next phase of growth.

Join a passionate, visionary team as we build a future where textile production and consumption are part of a sustainable, closed-loop system.

Traits and Characteristics:

● Hustle

● Team player (our team)

● Positive attitude

● 100% integrity

Role name: QA -(iOS/Android) Tester

Work site: Seattle, WA (Onsite)

Develop and execute test plans, test cases, and test scripts for Web / Digital (iOS and Android) systems.

• Perform functional, regression, integration, and system testing of Web/Digital (iOS and Android) applications.

• Validate integrations with payment gateways, inventory systems, loyalty/rewards, and back-office applications.

• Conduct end-to-end transaction testing (cash, credit/debit, mobile wallets, discounts, returns, voids, etc.).

• Log defects, track resolution, and perform retesting.

• Support automation of POS test scenarios where applicable. • Ensure testing aligns with compliance standards

• Provide detailed test reports and recommend improvements.

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 Programmatic Ads team integrates with external demand partners (DSPs, SSPs, etc) through OpenRTB. We drive performance optimization (latency, conversion, engagement, fill rate, etc) for our programmatic ad products. We are also responsible for building internal tools to better enable cross-functional teams.

What you'll do:

• 
  
• Lead one or two partner integrations, and work closely with product managers, data scientists, other cross-functional teams, and external partners to understand business requirements and translate them into technical solutions.
  
• Independently drive the full software development lifecycle, including ideation, technical design, prototyping, development, and release.
  
• Independently drive problem-solving and product iterations by utilizing A/B testing.
  
• Establish and maintain a high standard for technical excellence and production quality.
  
• Mentor junior engineers on the team and provide design and coding feedback.
  

What we're looking for:

• 
  
• Bachelor's degree in computer science, a related field or equivalent experience.
  
• 8+ years of hands-on backend software engineering experience in large-scale distributed systems.
  
• Passion for working on ad products work.
  
• Excellent communication and stakeholder alignment skills.
  
• Strong problem-solving skills and analytical mindset, with the ability to use data to guide decisions.
  
• Experience with ad serving platform, ad exchange, supply-side platform, or demand-side platform.
  

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 twice a month, therefore needs to be in a commutable distance from the Seattle office.
  

Relocation Statement:

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

#LI-HYBRID

#LI-AG8

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:

About Pinterest:

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

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

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

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

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

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

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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

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

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

Keep critical systems running. Power what matters.

• Operate and maintain utility systems providing heat, steam, hot water, humidification, electricity, and more.
• Monitor system performance using gauges, meters, and Direct Digital Building Control (DDBC) systems, making adjustments to optimize efficiency and safety.
• Perform testing and treatment of boiler and feed water systems.
• Keep detailed logs and records of system operations and maintenance activities.
• Respond quickly to alarms and service calls, ensuring minimal downtime and prompt resolution.
• Maintain equipment in top operating condition through preventive maintenance and repairs.
• Supervise and coordinate tasks with other support personnel as needed.
• For Navy Hospital assignments: Provide after-hours and weekend support for the hospital's 'trouble desk' and manage additional systems like medical air, medical gases, chillers, and emergency power systems.

• Minimum 4 years of experience operating and maintaining power boilers, or completion of a recognized technical or apprenticeship program with at least 3 years of related experience.
• Proficiency in automatic boiler controls and Direct Digital Building Control systems (minimum 1 year experience required).
• Skilled in water testing and treatment for boiler operations.
• Experience with large-scale facility systems preferred (especially in healthcare or government settings).
• Fourth Class Power Engineer Certification Program of the National Institute for the Uniform Licensing of Power Engineers, Inc (NIULPE), Third Class Power Plant Operating Engineer Certification Program of the American Society of Power Engineer, Inc. (ASOPE), or a Grade II Steam Engineer certification from City of Seattle/Tacoma/Spokane, or higher.
• Must meet company and government physical and security requirements, including respirator qualification and clearance eligibility.
• Valid state-issued driver's license with acceptable driving record.
• U.S. Citizenship required.
• Ability to pass government-mandated background checks and drug screenings.
• For Naval Hospital assignments: Proof of Rubella immunity and TB test within the past 12 months required prior to employment.

• Lift up to 10 lbs regularly and up to 50 lbs occasionally.
• Frequent use of hands/arms and clear communication.
• Periodic standing, walking, climbing, kneeling, and crawling.
• We provide reasonable accommodations for qualified individuals with disabilities.

You'll be part of a skilled, supportive team where your expertise truly matters. Every day brings something new and your work keeps people safe, comfortable, and operational.

Ready to power up your career?
Apply today and become a vital part of our operations team.

Equal Opportunity Employer This job description may change as organizational needs evolve.

Compensation details: 45.74-45.74

PI0bf87e6c870f-26289-39333496

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

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

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

Our Commitment to Inclusion:

City of Kirkland

$8,599.14 - $10,115.01 Monthly

Kirkland, WA

Full-Time

202100730

Public Works - Capital Improvement

02/09/2026

Non-Exempt

AFSCME

The City of Kirkland's Public Works Department is seeking to hire a Temporary Associate Project Engineer!
Note: This position is classified as temporary and is currently funded through 12/31/2026.

Why Kirkland?

Ranked as one of the most livable cities in America, Kirkland is an attractive and inviting place to live, work, and visit. We have big city vision while maintaining a small-town, community feel. If you are a candidate with the desire to join an organization looking to innovate into the future, the City of Kirkland is the place for you!

If you ask our employees why they love where they work, they will tell you about the great people, work environment, supportive leadership and City Council, and fearless innovation.

We also invest in you!

Competitive Wages: We strive to maintain competitive compensation packages and work to provide wages that meet the knowledge, skills, and abilities of our employees.

Awesome benefits: The City offers benefits that are unmatched by most other employers. Please click on the benefits tab above to view more details.

Childcare Programs: To help address the challenge of reliable childcare, the City of Kirkland has agreements with two local childcare providers that offer discounted rates for our employees at 10 locations within 20 miles of Kirkland. Learn more!

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Job Summary

Entry level engineer/project construction administration providing support to the Capital Improvements Project Team. Assists experienced engineers/coordinators in developing project criteria, studies, plans, specifications, providing calculations, tracking budgets, reviewing construction documentation, and communication related to City Capital Projects.

Principal Accountabilities
Entry level non-supervisory engineer/construction administration. Reports to the Capital Projects Supervisor for coordinated work with experienced engineers and coordinators. Accountable for the follow tasks:

• Assists in various phases of City Capital Improvement Project work including contract administration, project management documentation, public outreach and accounting.
• Supports dissemination of project information to other City Groups and Divisions.
• Aids in the recording of construction records documentation.

Essential Functions

• Supports dissemination of project information by preparation of exhibits.
• Helps gather stakeholder requirements for technical specifications to promote quality assurance.
• Performs field reconnaissance when/as required.
• Assists staff in the review of construction documents including plans, specification and construction management documents through all stages of Public Works projects.
• Works with experienced engineers/coordinators and other staff to coordinate and document field changes.
• Maintains knowledge of current construction codes and changes in industry standards related to construction material and procedure developments.
• Aids in the preparation of project status reports for proper coordination and scheduling of projects.
• Assists with final acceptance report upon project completion.

Peripheral Duties

• Coordinates field activities of City projects with private and public utilities within Kirkland.
• Works with Maintenance and Operations on engineering issues.
• Reviews traffic control plans with the Traffic Engineer.
• Responds to public inquiries or complaints relating to construction activities, standards, administrative procedures, and requested improvements.
• Provides public counter and back-up telephone coverage. Provides information regarding the policy of the City in response to inquiries.
• Assists in maintaining and updating Kirkland Pre-Approved Plans for the Public Works Department.
• Conducts field inspection on an as needed basis to assist inspection staff when workload or absences dictate.
• Maintaining the CIP Group's Lessons Learned file.
• Performs other duties as assigned.

In the event of a civic or civil emergency, position will provide assistance as determined by the City's emergency operations program.

Must possess effective written and oral communication skills, with the ability to work with staff, the public and general contractors in a knowledgeable and professional manner. Must have proficient research and documentation skills.

Minimum Qualifications

• A Bachelor Degree in Engineering, Construction Management or related field; or a combination of education and/or training and/or experience which provides an equivalent background that may be substituted as equivalent.
• Proficient in use of all office equipment including personal computers and related software applications.
• Valid Washington State driver's license.

Working Conditions
Primarily office work, but duties will require some field work both in street rights-of-way and on construction sites under varying weather conditions.

Selection Process

Position requires a resume and cover letter for consideration of application. Please note how you meet minimum qualifications within the cover letter. Applicants who are selected for next steps in the hiring process will be invited by phone or e-mail. Candidates are encouraged to apply at the earliest possible date as screening, interviewing, and hiring decisions will be made through the recruitment period, until such time as the vacancy is filled.

The City of Kirkland is a welcoming community where every person can thrive and grow. We value diversity, inclusion, belonging, and work together to support our community. We do this by solving problems, focusing on the customer, and respecting all people who come into the City whether to visit, live, or work. As an Equal Opportunity Employer, we are committed to creating a workforce that does not discriminate on the basis of race, sex, age, color, sexual orientation, religion, national origin, marital status, genetic information, veteran status, disability, or any other basis prohibited by federal, state or local law. We encourage qualified applicants of all backgrounds and identities to apply to our job postings. Persons with a disability who need reasonable accommodations in the application or testing process, or those needing this announcement in an alternative format, may call or Telecommunications Device for the Deaf 711.