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Delivery Driver - No Experience Needed
Salary not disclosed
Seattle, Washington 5 days ago
Why Deliver with DoorDash?
DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day. As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you. Whether you’re looking for a side hustle or a full-time gig, delivering with DoorDash gives you the opportunity to earn extra cash on your terms.
Multiple ways to earn: Whether you’re delivering meals, groceries, or retail orders, DoorDash offers diverse earning opportunities so you can maximize your time.
Total flexibility: Dash when it works for you. Set your own hours and work as much—or as little—as you want.
Know how much you'll make: Clear and concise pay model lets you know the minimum amount you will make before accepting any offer.
Instant cash flow: Get paid the same day you dash with DoorDash Crimson*. No deposit fees, no waiting.
Quick and easy start: Sign up in minutes and get on the road fast.**
Simple Process: Just pick up, drop off, and cash out. Payday is in your back pocket.
Basic Requirements
18+ years old*** (21+ to deliver alcohol)
Any car, scooter, or bicycle (in select cities)
Driver's license number
Social security number (only in the US)
Consistent access to a smartphone
How to Sign Up
Click “Sign UpApply Now” and complete the sign up process
Download the DoorDash Dasher app and go
*Subject to eligibility requirements and successful ID verification. The DoorDash Crimson Deposit Account is established by Starion Bank, Member FDIC. The DoorDash Crimson Visa® Debit Card is issued by Starion Bank.
**Subject to eligibility..
***Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia
Additional information
Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig. Deliver with DoorDash and earn extra cash while being your own boss. Dash when it works for you. Sign up today.
Not Specified
DoorDash Shopper - No Experience Needed
✦ New
🏢 Doordash
Salary not disclosed

Why Become a Shopper with DoorDash?

Turn your shopping skills into extra income. Whether you're helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash. Stay active during off-peak hours and no need to wait around for a restaurant preparing an order, becoming a Shopper with DoorDash puts you in control of your time and earnings.

Either as a side hustle or a full-time gig, being a Shopper with DoorDash gives you the opportunity to earn extra cash on your terms.

  • Multiple ways to earn:Deliver more than just restaurant orders. Become a Shopper and deliver grocery, convenience, retail, alcohol and more—DoorDash offers diverse earning opportunities so you can maximize your time.
  • Control your time:Make cash during off-peak hours so you don't have to schedule your day around the lunch or dinner time rush; don't wait around for an order when you do the shopping.
  • Know how much you'll make:Clear and concise pay model lets you know the minimum amount you will make before accepting any offer.
  • Earn more:Get more cash per delivery on average compared to a restaurant delivery when you do the shopping.*
  • Quick and easy start:Sign up in minutes and get on the road fast.*

Basic Requirements

  • 18+ years old** (21+ to deliver alcohol)
  • Any car, scooter, or bicycle (in select cities)
  • Driver's license number
  • Social security number (only in the US)
  • Consistent access to a smartphone

How to Become a Shopper

  • Click "Sign UpApply Now" and complete the sign up process
  • Download the DoorDash Dasher app
  • Activate your Red Card in the Dasher app***

*Compared to a restaurant delivery order, based on average Dasher payouts nationwide while on a delivery. Actual earnings may differ and depend on factors like number of deliveries completed, time of day, location, and expenses.

*Subject to eligibility.

**Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia

***The Red Card is a prepaid card used by Dashers to pay for items on Dasher Shop & Deliver offers. The card will automatically be funded prior to check out. Red Cards are not linked to Dasher bank accounts or related to earnings.This card is issued by Peoples Trust Company under license from Mastercard International Incorporated. Mastercard is a registered trademark, and the circles design is a trademark of Mastercard International Incorporated.

Additional information

Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig. Deliver with DoorDash and earn extra cash while being your own boss. Dash when it works for you. Sign up today.

Not Specified
Director of Process Engineering
Salary not disclosed
Seattle, Washington 2 days ago

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

Not Specified
Machine Learning Engineer, Monetization Engineering
Salary not disclosed
Seattle, WA 3 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.

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.

US based applicants only$163,418—$285,982 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
Sr. Machine Learning Engineer, Monetization Engineering
🏢 Pinterest
Salary not disclosed
Seattle, WA 3 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.

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.

US based applicants only$189,721—$332,012 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
Sr. Machine Learning Engineer, Core Engineering
🏢 Pinterest
Salary not disclosed
Seattle, WA 5 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.

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:



  • 4+ 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:

    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.




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.

US based applicants only$189,721—$332,012 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
Machine Learning Engineer, Core Engineering
🏢 Pinterest
Salary not disclosed
Seattle, WA 3 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.

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.

US based applicants only$138,905—$285,982 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
Aircraft Structures Mechanic - 30005
✦ New
🏢 Boeing
$25.32
Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Boeing Commercial Airplanes is excited to offer opportunities for an Aircraft Structures Mechanic to join our Join and Installation team in Everett and Renton, Washington .

As an Aircraft Structures Mechanic, you will utilize your manufacturing knowledge to set up tools and equipment for drilling and fastening complex structures, including composite materials. You will operate various hand and machine tools, including automated equipment, to perform tasks according to specifications while ensuring safety and quality standards. Your responsibilities will include recognizing and reporting any equipment malfunctions, performing maintenance, and coordinating the movement of materials and tools. You will also cut, assemble, and install components, verify your work against specifications, and handle hazardous materials safely.

You will play a critical role in upholding our commitment to safety and quality standards, ensuring that all operations meet regulatory compliance and operational excellence. If you are detail-oriented, possess strong technical skills, and thrive in a collaborative environment, we invite you to apply and be a part of our mission to deliver excellence in aviation.

Verify kitted parts against installation plans and bill of materials, ensuring they are suitable and defect-free.
Retrieve non-kitted parts from designated areas, ensuring compliance with specifications.
Use electronic devices to access work instructions and engineering data (personal cell phones not permitted).
Select and utilize appropriate hand and power tools for assembly tasks, including precision alignment equipment.
Move kits, carts, and equipment within the work cell as needed.
Load/unload jigs and operate mechanical lifts for assembly work.
Locate tools and parts on aircraft using specified methods and set up assembly tools per instructions.
Handle hazardous materials safely and dispose of them properly.
Inspect completed work for defects and cleanliness before submission for inspection.
Maintain personal and tool certifications and seek assistance from supervisors when necessary.
Set up tools and equipment for drilling and fastener installation in complex structures.
Operate various hand and machine tools, monitoring equipment functionality and performing routine maintenance.
Coordinate the movement and preparation of materials and tools for tasks.
Cut, file, drill, and assemble parts, ensuring proper fitting and quality standards.
Conduct reaming, riveting, and sealing operations, applying corrosion inhibitors as needed.
Utilize calibrated tools to verify work against specifications and ensure quality.
Manage equipment and materials within the work cell to ensure efficient workflow.

Operate in proximity to moving parts and tools, sharp cutters, and potential slipping hazards.
Utilize personal safety gear to protect face/eyes, hands/arms, and feet while performing job duties.

US Person” includes US Citizen, lawful permanent resident, refugee, or asylee

Aerospace Technician and Mechanic Aptitude Virtual Job Tryout: To be considered for this position you will be required to complete a technical assessment as part of the selection process. 1+ years of experience working with mechanical or structures related statements of work; such as construction, aerospace, automotive, maritime or similar industry; Ability to walk constantly throughout the workday; This positions requires you to wear eye, hearing, foot, hand, respirator and other personal protective equipment/safety gear at all times.
~ Proficiency in reading, writing, and speaking English.

1+ years of experience performing aircraft structural work or equivalate.
~ Enrolled in a Boeing partnered manufacturing related high school or community and technology college academic program.

High school graduate or GED preferred.

Relocation:
~ This position offers relocation based on candidate eligibility.

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union Representation Statement:
This is an hourly position governed by the International Association of Machinists (IAM-751) Collective Bargaining agreement.

Shift Work Statement :
~ This position is for a variety of shifts

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

Applications for this position will be accepted until Apr. Language Requirements
English Preferred
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for variable shift
Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
permanent
Drive with Doordash - No CDL license needed
🏢 Doordash
Salary not disclosed
Seattle, Washington 3 days ago
No CDL needed / No commercial drivers license
Why Deliver with DoorDash?
DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day. As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you. Whether you’re looking for a side hustle or a full-time gig, delivering with DoorDash gives you the opportunity to earn extra cash on your terms.
Multiple ways to earn:

Whether you’re delivering meals, groceries, or retail orders, DoorDash offers diverse earning opportunities so you can maximize your time.
Total flexibility:

Dash when it works for you. Set your own hours and work as much—or as little—as you want.
Know how much you'll make:

Clear and concise pay model lets you know the minimum amount you will make before accepting any offer.
Instant cash flow:

Get paid the same day you dash with DoorDash Crimson*. No deposit fees, no waiting.
Quick and easy start:

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Guest Experience Venue Manager - FIFA World Cup 26™
Salary not disclosed
Seattle, WA 2 days ago

Role Summary:

We are looking for a creative and highly organized Guest Experience Venue Manager to support and dual report to the Venue Manager and VP of Guest Experiences. As Guest Experience Manager, you will shape and deliver the end-to-end hospitality experience at one of the (16) host cities of the FIFA World Cup 26™.

Your scope will include oversight and management of such areas as hospitality gifting, guest experience staff and external vendor management, hospitality entertainment, omnichannel communication, content recommendations, service mapping, and post-tournament reporting. You will also oversee access control strategy, ensuring accurate guest tiering, zone control, and appropriate staff allocation across all hospitality areas. You will be managing third party suppliers and vendors ensuring high level service delivery as per assigned scope at the assigned venue. You will manage the cross-functional working groups to ensure seamless alignment and premium service delivery at every phase of the guest journey.


Key Responsibilities:

  • Support On Location Venue Manager and VP Guest Experience with delivery of the overall Hospitality Program at the assigned venue
  • Manage selected Guest Experience vendors and all hired Guest Experience staff
  • Align guest experience and guest journey with FIFA brand standards and On Location’s hospitality tiers across global and local audiences
  • Oversee the execution of hospitality services at the assigned stadium, including indoor lounges and FIFA pavilion
  • Deliver access control system at assigned venue
  • Ensure all functions are synchronized around key journey milestones and guest experience standards
  • Ensure successful implementation of the gifting program
  • Support with delivery and distribution of the staff uniforms program
  • Ensure that all hospitality spaces are ready for match operations
  • Secure successful implementation of the entertainment program across the stadium
  • Develop post-match communication plans, feedback collection, and tactics to convert guests into repeat customers
  • Manage assigned Guest Experience stadium staff


Experience/Qualifications Needed:

  • Minimum 5 years of experience in VIP hospitality across major sporting events
  • Proven project management skills
  • Proven ability to conceptualize and deliver large scale projects with multiple workstreams
  • Experience working in the cross functional environment
  • Experience working in multi-venue or international events
  • Strong collaboration and communication abilities
  • Fluent in English; Spanish and/or French are a strong asset


We’d Love If You Also Have These:

  • Experience with major sporting or international cultural events
  • Background in VIP hospitality, production, or brand activations


Working Conditions:

  • Fixed Term Position
  • Non regular working hours
  • Willingness to work on weekends and national holidays


*This role will be paid as a weekly rate, based on 40 hours per week.*

Not Specified
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