Omnicell Machine Jobs in Usa

Job Title: 60;Machine Operator 1

FLSA Status: 60; 60;Non-Exempt

Department: 60;Operations

Reports to: 60;Assistant Manager, Superintendent or Assistant Superintendent

GENERAL DESCRIPTION / PURPOSE:

Machine Operator 1 (MO1), a field based position, is responsible for operating, maintaining, and repairing company railway maintenance and inspection equipment. This position can operate Lorams on track MOW equipment and/or on track vehicles with supervision in both operating and travel modes. In this role you may be assigned to various types of equipment platforms dependent on business needs and demands.

ESSENTIAL JOB FUNCTIONS:

Safety Focused

• Ability to lead a comprehensive and appropriate job briefing during operations shifts, maintenance shifts, and while conducting maintenance tasks.
• Consistently follows safe work processes, procedures and rules
• Understands on track safety and can explain specifics when asked
• Able to locate all emergency equipment and demonstrate correct operation

Machine Operations and Technical Knowledge 60; 60;

• Conducts machine inspections to identify problems, defects, changes, and hazards and communicates conditions to the operator or supervisor and performs common repairs as instructed. Provides accurate feedback that allows machine leadership to make maintenance decisions
• Accurately records and reports common parts used to supervisor, including floor stock
• Performs maintenance and repairs according to set schedules and policies
• Accurately describes gauge and HMI functions as they relate to machine operation
• Demonstrates the ability to document and complete daily field reporting, personal expense reporting, field lodging, and other administrative reporting as necessary

BEHAVIORAL COMPETENCIES:

• Safety Awareness
• Values Based
• Learning on the Fly
• Action Oriented
• Listening
• Personal Learning

Experience:

Internal: 3+ Months Experience working with Loram equipment or equivalent in a 24/7 environment; Some assignments require Excavator experience. 60; Meet all relevant or applicable pre-qualifications as noted in the general description for this role and Lorams career development matrix.

External: 2+ Years Demonstrated technical skills such as mechanical, electrical, hydraulic and machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and learn best practices

Licenses/Certifications: 60; Maintain Railroad Certifications, CPR/First Aid, valid Drivers License

Slots 1+ year experience Heavy equipment operator (Backhoe, Excavator, or alike). 60; Heavy Maintenance/ Construction equipment maintenance. 60; Basic administration computer skills. Working knowledge of data systems and remote equipment operations cellar or tethered. 60; 60; 60;

Aurora - Minimum of 1 year computer or technology background. 1 year of working knowledge working with MS Windows. 60; Preferred radiation experience. 60; Commercial Drivers License or able to obtain a Class B. 60;

PREEMPLOYMENT REQUIREMENTS:

• This position requires successful completion of a pre-employment physical examination and role-specific assessments. Components may include DOT Physical Exam, Regulated (DOT) DS/BAT, Human Performance Evaluation (HPE), and Audiogram.
• 60;Position requires successful completion of an eVerifile/eRailSafe background check as required by Lorams railroad customers. Ongoing eligibility is subject to compliance with eRailSafe standards.
• 60;Must possess and maintain a valid drivers license. A Motor Vehicle Record (MVR) check will be conducted upon hire and annually thereafter in accordance with Lorams Driving Policy.
• Successfully pass a pre-employment drug and alcohol test.

WORKING CONDITIONS: 60;

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. 60; Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 100% travel, including international, using any method of transportation.
• Ability to apply high levels of cognitive, analytical, retention and reasoning.
• Excellent communication skills used within any social context.
• Can stand, sit, walk, reach, balance, stoop, kneel, hear, taste and smell.
• Can see up close, distances, colors and has use of peripheral vision and depth perception.
• Can tolerate variable and sometimes extreme physical conditions during visits or inspections of company equipment in a railroad environment.

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.

Starting pay for the position is between $20.00 - $21.00

• Perform set-up for complex/advanced/non-routine jobs independently
• Use measuring equipment effectively such as micrometers and calipers
• Work from written procedures and work routers
• Dismantle jigs, tools, and special fixtures
• Make tooling as necessary
• Provides training to co-workers on the operation of CNC machines and inspection methods and tools.
• Maintain drawing specifications by monitoring dimensional and visual characteristics to detect non-conformances
• Handle raw material and hazardous waste safely and in an environmentally responsible manner
• Perform preventative maintenance on equipment
• Other duties as assigned
  
  

• High School Diploma or equivalent (will consider candidates with considerable experience in lieu of education requirement)
• 5+ years of experience in performing adjustments and offsets in CNC Machining for Mills and Lathes (Required)
• Effective verbal/written communications skills and organizational skills
• Must have a strong work ethic, attention to detail, good attendance, and flexibility to work overtime as needed The client offers a competitive salary package that is dependent on qualifications and experience, as well as a strong benefit package, plus participation in a company-wide bonus plan. For immediate consideration and faster response, please forward current resume to: Please include job #19695 in subject line. Please note that all candidates applying must be a US Citizen or Permanent Resident. Client will NOT sponsor.
  
  

• Perform set-up for complex/advanced/non-routine jobs independently
• Use measuring equipment effectively such as micrometers and calipers
• Work from written procedures and work routers
• Dismantle jigs, tools, and special fixtures
• Make tooling as necessary
• Provides training to co-workers on the operation of CNC machines and inspection methods and tools.
• Maintain drawing specifications by monitoring dimensional and visual characteristics to detect non-conformances
• Handle raw material and hazardous waste safely and in an environmentally responsible manner
• Perform preventative maintenance on equipment
• Other duties as assigned
  
  

• High School Diploma or equivalent (will consider candidates with considerable experience in lieu of education requirement)
• 5+ years of experience in performing adjustments and offsets in CNC Machining for Mills and Lathes (Required)
• Effective verbal/written communications skills and organizational skills
• Must have a strong work ethic, attention to detail, good attendance, and flexibility to work overtime as needed The client offers a competitive salary package that is dependent on qualifications and experience, as well as a strong benefit package, plus participation in a company-wide bonus plan. For immediate consideration and faster response, please forward current resume to: Please include job #18747 in subject line. Please note that all candidates applying must be a US Citizen or Permanent Resident. Client will NOT sponsor.
  
  

Are you a proven leader in machining operations with a passion for driving efficiency, quality, and growth? Our client is seeking a Machine Shop General Manager for a precision machining and fabrication shop supporting marine, industrial, and commercial customers.

This is a hands-on leadership role where your expertise will directly impact operations, profitability, and team success. If you thrive in a dynamic manufacturing environment and want to make a lasting impact, we want to hear from you.

What You’ll Do

• Lead & Inspire: Oversee day-to-day operations, mentoring a skilled team of machinists and support staff to achieve production, quality, and safety goals.
• Drive Operational Excellence: Manage workflow, scheduling, equipment maintenance, and continuous process improvements to maximize efficiency.
• Financial Leadership: Own the P&L—manage budgets, labor, purchasing, and pricing to ensure profitability and sustainable growth.
• Customer & Vendor Relations: Cultivate strong relationships with clients, suppliers, and vendors, delivering exceptional service and reliable solutions.
• Quality & Safety Champion: Ensure all work meets strict quality standards while maintaining a safe, compliant, and organized shop environment.

Who You Are

• Experienced & Hands-On: Proven background in machine shop operations, machining, fabrication, or related manufacturing leadership.
• People-Oriented Leader: Skilled at managing, developing, and motivating high-performing teams.
• Business Savvy: Comfortable managing budgets, quoting jobs, and driving profitability while delivering value to customers.
• Problem Solver: Strong analytical skills with the ability to troubleshoot operational challenges and implement effective solutions.
• Tech-Enabled: Familiarity with ERP, job costing, and scheduling software; proficient in Microsoft Office.

Why You’ll Love This Role

• Take the reins of a respected machine shop with state-of-the-art equipment and a legacy of precision work.
• Lead a tight-knit, skilled team where your leadership truly makes an impact.
• Play a key role in shaping growth and operational excellence for a manufacturing operation with strong industry reputation.
• Competitive compensation and benefits package, with opportunity for long-term career growth.

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 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:

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: