Assembly Machine Language Jobs in Usa

About Pinterest:

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

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

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

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

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-DM57

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

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

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

Our Commitment to Inclusion:

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:

Bore Machine Operator

BROADBAND TELECOM SERVICES, INC.

Broadband Telecom Services is a full-service telecommunications construction contracting company with multiple locations throughout the state of Texas.

JOB DESCRIPTION

This position will require set up and operating boring machine to bore, drill, tap, spot face, groove, mill or ream metal work pieces according to specifications, tooling instructions, and standard charts, applying knowledge of boring procedures and machining methods. This position will require heavy labor digging, lifting, working on ladders, and teamwork. This position requires the employee to work out in the elements.

PREFERRED QUALIFICATIONS

* Experience with a trencher or other construction equipment is a plus

ESSENTIAL JOB FUNCTIONS- INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:

* Must be able to dig trenches and run heavy construction equipment ex: Ditch Witch & Vermeer Directional Operators

* Move drilling equipment to construction location ex: driving or loading and unloading the machine

* Set up drilling and hoisting machinery ex: connecting drill pipe sections

* Locators to run underground facility location equipment

* Drill operator (any size & any brand) locate cables and drill heads

* Connect power cables or hoses for water or air supply

* Operate the drilling machinery ex: regulating pressure of tools, controlling the speed of rotary tables and air flows

* Operate slush pumps in order to ensure circulation and consistency of drilling fluid/mud in well

* Correct problems in drilled holes caused by mechanical breakdowns or by harmful natural conditions

* Locate and recover lost or broken bits, casings, drill pipes etc. from wells using special tools

* Maintain records of footage drilled, materials and tools used

* Report information about drilling process to the supervisor on site

* Ensure safety guidelines are enforced and weekly safety topics are followed

EDUCATION & LICENSES/CERTIFICATES:

* High school diploma or equivalent preferred.

* Must possess a valid Driver's License and a safe driving record.

LANGUAGE/MATHEMATICAL SKILLS & REASONING ABILITY

* Must be able to use written and verbal communications in English language.

REASONING ABILITY & PHYSICAL DEMANDS

* Ability to work aloft.

* Must have manual dexterity and the ability to utilize various hand tools and test equipment.

* Must be able to drive a truck or van including a truck/van with an aerial lift

* Must be able to lift up to 50 pounds.

* Must be able to type on a computer, and utilize a smart phone to read and update prints.

* Must be able to kneel, crawl, push, pull, bend, stoop, lift and dig.

* Must meet and maintain Company's safe weight policy.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

BENEFITS

* Paid Time Off (Holiday/Vacation/PTO)

* Benefits Package

* 401K Retirement plan with company match

Please visit our to apply online and learn more about our company.

Broadband Telecom Services is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age handicap, disability, marital status, veteran status, reserve or National Guard status, or any other status protected by applicable law. Broadband Telecom Services, Inc. participates in the E-Verify Program.

Role: Assembly Integration and Test Engineer

Pay: $90,000.00 - $110,000.00 per year

Job description:

Location: Boulder, Colorado

Employment Type: Full-time

Salary Range: From $90,000 to $110,000 depending on experience

About ThinkOrbital:

ThinkOrbital is developing breakthrough technologies to defend, service, and build in space. From pioneering autonomous welding in orbit to long-range X-ray imaging systems for space domain awareness and infrastructure inspection, we are redefining what’s possible in the final frontier. Our team is made up of driven engineers, scientists, and operators who thrive in a fast-paced, mission-focused environment.

Position Summary:

We’re looking for an Assembly Integration and Test Engineer to join our team, support all assembly integration and test activities across all our programs and products. This is a hands-on role that will involve close collaboration with a cross-disciplinary team etc.

Key Responsibilities:

· Perform hands-on assembly, integration, and testing of aerospace components, subsystems, and full systems

· Develop and execute test procedures, plans, and documentation to ensure compliance with technical and quality standards.

· Collaborate with cross-functional teams including design, systems engineering, and quality to resolve integration or test anomalies.

· Support environmental testing (vibration, thermal vacuum, EMI/EMC, etc.) and data analysis to validate system performance.

· Ensure accurate configuration control and documentation of hardware and test setups throughout the program lifecycle.

· Assist in troubleshooting issues and implementing corrective actions during assembly or testing phases.

· Interface with suppliers or test facilities as needed to support test activities or deliverables.

· Adhere to safety protocols and industry standards in a cleanroom, high-reliability environment, and radiation environment (X-Ray)

Mandatory Qualifications:

· Bachelor’s degree in Aerospace, Mechanical, Electrical Engineering, or a related field.

· Minimum of 3 years of experience in aerospace assembly, integration, or test.

· Strong understanding of aerospace hardware handling, contamination control, and verification processes.

· Excellent communication and documentation skills.

· Ability to work hands-on in a fast-paced, team-oriented environment.

· Self-starter with a strong sense of ownership; able to take initiative, work independently, and tackle unfamiliar or ambiguous technical challenges with minimal guidance

Certifications/Trainings:

· IPC J STD 001G, Requirements for Soldered Electrical and Electronic Assemblies

· IPC A 600, Acceptability of Printed Boards

· NASA STD 8739.1, Workmanship Standard for Polymeric Application of Electrical Assemblies

· NASA STD 8739.4, Workmanship Standard for Crimping, Interconnecting Cables, Harnesses, and Wiring

· ANSI/ESD S20.20, Electrostatic Discharge (ESD) Control

· Radiation Safety Training (X-Ray Cabinets)

What We Offer:

Competitive benefits and stock options

Health, Vision and Dental Insurance

Opportunity to shape next-generation space systems

A small, fast-moving team where your impact is tangible

Flexible Schedule

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.

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.

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:

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!

We're looking for a Machine Operator to combine raw materials to produce finished products in our mulch and soil manufacturing facility.

What youll do in this role:

• Operate a computer controlled production system for multiple raw material ingredients that are processed in a mix room.
• Solve daily operations problems with limited supervision.
• Actively maintain good housekeeping standards in their assigned area
• Complete daily job checklists & equipment checks/calibrations to maintain quality.
• Maintain accurate records of raw materials, samples & equipment operations.
• Operate a forklift to transport materials.
• Set up machines at the beginning of shift to ensure proper working order.
• Perform testing procedures to ensure that machines work optimally during the production procedures.
• Maintain and clean machines before and after each shift.
• Feed information akin to speed, shapes and sizes through the machine set up box.
• Place parts in semi-automated machines.
• Calibrate machines at the beginning of each shift.
• Recalibrate machines at the end of each shift.
• Monitor machines during every procedure to ensure optimum running.
• Troubleshoot problems during machine operation.
• Ensure that regular and preventative maintenance procedures are carried out.
• Perform random tests to ensure accuracy.
• Perform safety checks on every machine.
• Ensure that machines are producing quality products by managing periodic checks on output.
• Ensure stocks of needed materials are ready and available at all times.

What youll need to be successful:

• High School diploma or equivalent.
• A minimum of one plus years of production plant experience is preferred.
• Able to identify all materials used, detail oriented, follow safe practices and procedures, ability to read English and or follow directions.
• Able to work in a dusty environment, hot/cold/ rainy weather, lift 50 pounds, and be able to climb ladders and work on their feet for the entire day.
• Willingness to work mandatory overtime including weekends and holidays.

What we do for you (just to name a few cool ones):

• Medical, dental, vision, life insurance, holidays, vacation and sick time benefits available within a month of your start date
• Healthcare navigation, advocacy and support
• 401(k) company match up to 7.5% with immediate participation and vesting
• Ability to purchase company stock at a 15% discounted price from market value
• $600 annual wellness reimbursement program
• Up to $30,000 to help cover the cost of fertility treatments, adoption or surrogacy
• Up to 18 weeks of time away to support your growing family
• To view all of our great benefits, click here!

* Eligibility for the above benefits may vary based on full-time/part-time status or additional factors.

Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities.

Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace.

EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity

Notification to Agencies:

Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

Salary

Location: Sherman, TX

Schedule: Nights 7:00PM-7:30AM (12-hr rotating shift)

Compensation: $23.00/hr. + $1.35 (shift premium for night shift)

Altium Packaging is one of the largest plastic container companies and suppliers of rigid plastic packaging. We specialize in customized mid- and short-run packaging solutions and serve a diverse customer base in the pharmaceutical, dairy, household chemicals, food/nutraceuticals, industrial/specialty chemicals, water, and beverage/juice segments.

We are currently seeking an experienced Blow Mold Machine Operator in Sherman, TX. As a Machine Operator, you will operate blow mold, grinder and trimmer machines, as well as the conveyor system. You will also troubleshoot process problems and perform minor maintenance to ensure continued operation of the production line. Being a team player will be essential since all tasks require close collaboration with co-workers. Your goal is to ensure that procedures are carried out smoothly to maximize both efficiency and profits.

RESPONSIBILITIES:

• Ensure compliance with corporate and plant safety standards and with applicable laws and regulations issued by regulatory agencies.
• Set up machines (calibration, cleaning, etc.) to start a production cycle
• Control and adjust machine settings (e.g., speed)
• Operate blow-mold machines (including wheels, reciprocator or shuttle machines)
• Perform audits, weights and quality checks
• Check output to spot any machine-related mistakes or flaws
• Keep records of approved and defective units or final products
• Enter data into SPC database for quality control measures
• Troubleshoot, preventative maintenance, minor repair on blow mold & support equipment
• Repair or replace pneumatic and hydraulic lines
• Maintain activity logs

REQUIREMENTS:

• High school diploma or equivalent
• 2+ years’ experience as a machine operator
• 2+ years’ blow mold machine operation preferred
• Working knowledge of diverse high-speed machinery and measurement tools (caliper, micrometer etc.)
• Strong mechanical aptitude and analytical skills are required
• Machine maintenance experience
• Ability to read blueprints, schematics and manuals
• Ability to work overtime
• Physical stamina and strength/able to stand for long periods of time

TRAINING:

• Completion of Altium Machine Operator 1 training within 90-days of hire date

BENEFITS:

• Competitive Hourly Rate
• Medical, Dental & Vision
• Holiday/Vacation Pay
• 401K with Company Contribution
• Tuition Reimbursement
• Learning & Training Opportunities
• Bonus Opportunities

We incorporate our Guiding Principles into all aspects and at all levels of the organization and use them as a framework for decision-making. We believe our Guiding Principles foster a culture of excellence that benefits both employees and customers.

Our Guiding Principles:

• Act with Integrity & in Compliance
• Drive Value Creation
• Be Disciplined Entrepreneurs
• Focus on the Customer
• Act with Humility
• Treat Others with Dignity and Respect
• Seek Fulfillment in Your Work

EEO STATEMENT:

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities who are otherwise qualified to safely perform the essential functions of the job, unless such accommodation imposes an undue hardship on the Company. While performing the duties of this job, the employee is regularly required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is occasionally required to climb or balance and stoop, kneel, crouch, or crawl. The employee is frequently required to lift and/or move up to 50 pounds.

WORK ENVIRONMENT:

While performing the duties of this job, the employee is regularly exposed to moving mechanical parts in a production environment. The noise level in the work environment is usually loud. Temperatures inside the plant can fluctuate between hot and cold according to seasonal changes. Personal protective equipment (PPE) is required in the production department and other designated areas.

For more information on Altium Packaging, please visit our website at