Edp Engineering Design Process Jobs in Usa

Build a Career That Matters with One of the World's Most Respected Employers!

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THE OPPORTUNITY

Michelin has Summer 2026 Environmental Engineering Internship opportunities in Greenville, SC, Lexington, SC and Norwood, NC who will craft, implement, and evaluate solutions to environmental problems. Michelin's purpose is to support everyone's right to move freely to find their better way forward. This role makes a direct impact on our world by reducing pollution, conserving resources, and protecting human health and the environment. If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide leader in Tires!

WHAT WILL YOU DO

• Work on a project team to analyze data to improve performance and/or production
• Ensure products meet the defined quality and performance standards
• Assist with productivity, cost-reduction, and continuous-improvement projects
• Study processes and propose improvements

Ready to Shape the Future of Innovation?

Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.

The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.

Why Michelin?

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
• Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Business Resource Groups and Inclusion Councils.
• Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
• Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.

Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .

This position is not available for immigration sponsorship.

We build the future with people like you. Begin your career with Michelin today!

Knows, understands, incorporates and demonstrates the mission, vision and core values of Trinity Health and the Ministry Organization in leadership behaviors, practices and decisions.

Maintains a working knowledge of applicable federal, state and local laws, regulations and industry standards.  Complies with Trinity Health’s Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects ethical and professional integrity.

Performs PM procedures on multiple types of general and specialized clinical equipment.

Performs PM procedures using manufacturer’s recommendations, standards or code requirements, as well as industry acceptable processes as guidelines.

Performs services on specialized equipment in one or more of the following categories:  anesthesia machines, sterilizers, ventilators, ultrasound, laser, laboratory analyzers, etc.

Performs corrective maintenance procedures including diagnosing problems using thermodynamic, electronic/electrical, mechanical, pneumatic, hydraulic, and/or other sciences and documents results of activities performed to comply with all regulatory and standard requirements.

Notifies equipment users and Clinical Engineering Management of repair status and delays as necessary.

Interacts with clinical staff to understand and resolve operational problems in scheduling and completing PM procedures while minimizing interference to hospital departments.

Determines need for replacement parts and supplies, selects the most cost effective source, and submits properly completed parts request using established policies and guidelines.

Completes corrective and planned maintenance work order documentation per policy.

Promotes teamwork by keeping others informed, participating effectively in group decision making, while working to accomplish team objectives and projects, and by soliciting feedback about one's effectiveness as a team member. 

Continually improves processes by seeking ways to eliminate and reduce waste.

Has authority (based on deprartment guidelines)  to order parts and supplies required for  emergency service or repair of  radiological and general medical equipment. Recommends  test equipment and spare equipment parts to the CE Manager or Lead Technician.

Provide on-call service coverage after normal business hours on a rotating basis.

Provides assistance and training to Bio-Medical Equipment Techs I and II as assigned by Clinical Engineering Manager.

May be assigned duties as Lead Bio-Medical Equipment Technician, as needed.

Performs other duties as assigned or requested by the CE Manager.

Minimum of an Associates of Applied Sciences Degree in related field of medical electronics, electronic technology or equivalent military related training required.  CBET or CLET certification preferred.

Five or more years experience or equivalent performing corrective and planned  maintenance on medical devices and/or clinical equipment.

Specialized training by manufacturer or third party equipment repair in such areas as

      anesthesia machines, sterilizers, ultrasound, ventilators, laser, laboratory analyzers, etc.

Ability to demonstrate a high level of proficiency in specialty area.

Must have a basic understanding of anatomy, physiology, and medical terminology.

Working knowledge  and ability to use basic hand tools and  test equipment specific to the field.  Ability to train CE associates on  use and application of test equipment.

Must have knowledge and understanding of OSHA, NFPA, The Joint Commission, EOC, and other specific regulations and standards pertaining to clinical equipment service and repair.

Must possess a personal presence that is characterized by a sense of honesty, integrity and caring with  ability to inspire and motivate others to promote the philosophy, mission, vision, goals and values of Trinity Health, Ministry Organizations, and Clinical Engineering. 

Ability to operate complex test equipment, analyze and interpret information provided by equipment and clinical staff to determine equipment operational condition.

Must have basic understanding of personal computer operation, applications, and the ability to input data using keyboard.  Technician must be able to  follow complex written instructions, perform tasks and document actions taken.

 Strong customer service and communications skills are required to interact with hospital  personnel and vendors to achieve positive outcomes.

Maintain up to date understanding of The Joint Commission and NFPA standards as well as state and federal regulations.

Ability to provide or coordinate in-service training to clinical/professional staff on medical device  operations and safety functions.

          .

Must be physically able to balance, bend, climb, crawl, crouch, kneel, reach, sit, squat, stand, twist, and walk.

Possess ability to mentally concentrate while being subject to stress, interruptions and changing work priorities.

Must be able to work and follow OSHA guidelines while in a hazardous environment(s) such as electrocution potentials, mechanical energies, bloodborne/airborne pathogens, dust and inclement weather, marked changes in temperature and/or humidity, radiation, fumes/vapors, sharp instruments/tools, hazardous liquids, and operating devices. 

Must be able to hear speech, distinguish sounds, and speak.

Must have near vision, far vision, depth perception, and be able to distinguish colors.

Must have sensory ability to distinguish hot, cold, range of temperature, surfaces, fine motor skills, manual dexterity, and detect/distinguish odors.

Must be able to carry or lift up to 50 pounds routinely (50% of the time) and on occasion (5% of the time) up to 100 pounds.

Must be able to push or pull over 100 pounds frequently (20% of the time). Maintains safe working environment for self, other associates, patients, visitors, and medical staff in accordance with applicable standards and procedures relevant to  job duties.

Must be able to adapt to frequently changing work priorities.

Must be able to travel to the various Trinity Health, Ministry Organizations, subsidiaries, and/or training facilities.

Our Commitment

Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled "product managers."

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

DISCLAIMER(S):

*THIS IS AN UNPAID INTERNSHIP, WITH THE POTENTIAL FOR FUTURE EMPLOYMENT.*

*WE ARE SPECIFICALLY LOOKING FOR INTERNS WHO WORK WITH RECORDING ARTISTS, FILM/TV/LIVE SOUND ENGINEERS ARE NOT IDEAL CANDIDATES.*

Company Description

Invite Only Studios is an experiential recording and photography studio based in the Chelsea neighborhood of New York City. Our multi-million dollar, state-of-the-art space has only been around since October 2019, but we have hosted many clients since then. To name a few, we have hosted Mary J. Blige, Alicia Keys, Darren Barnett (2021 People Choice Awards Winner) and Offset. We have also hosted events for ESPN, KIDinaKORNER (Imagine Dragons), Swizz Beats, Snoop Dogg, Def Jam Recordings, Russ, Saint JHN and Nike. In addition, we have created musical content for brands such as Starbucks, JP Morgan-Chase, Sunny D, Summer's Eve, Wendy's and Weight Watchers.

In addition, we work with several indie artists and assist them in their journeys to propel their careers. At Invite Only we welcome creativity from anyone who is willing to contribute ideas. If you think this role would suit you please apply as soon as you can!

Job Description

This role is intended for candidates seeking to advance their careers as Audio Engineers, particularly those with regular experience working with recording artists.

Tasks & Responsibilities

• Being present for sessions and available to complete tasks for clients.
• Going on runs for clients and staff when necessary.
• Maintaining studio cleanliness & etiquette.
• Completing projects dictated by studio management as directed.
• Maintaining a positive attitude, enthusiasm, and willingness to be as effective as possible.

Skills & Qualifications

• Some type of educational training in audio engineering.
• Knowledge and experience in Pro Tools.
• Troubleshooting equipment & signal flow.
• Excellent time management & organization skills.

DISCLAIMER(S):

*THIS IS AN UNPAID INTERNSHIP, WITH THE POTENTIAL FOR FUTURE EMPLOYMENT.*

*WE ARE SPECIFICALLY LOOKING FOR INTERNS WHO WORK WITH RECORDING ARTISTS, FILM/TV/LIVE SOUND ENGINEERS ARE NOT IDEAL CANDIDATES.*

Build a Career That Matters with One of the World's Most Respected Employers!

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Ensure attainment and quality progress performance within their area of responsibility (BU or groups of BUs).

Monitor and apply MMW guidelines in their area of responsibility.

Regarding the scope of responsibility (BU or groups of BUs):

• Delivered products are aligned with quality planning models and are manufactured following obtention standards. Sound MMW practices are applied.
• Quality and efficiency performances align with goals defined by the shop. Right the first time principles are applied.
• Customer risks, product compliance, and quality performance risks are anticipated. Actions to reduce risks are implemented.
• All complaints, nonconformities, nonstandard situations, and performance shifts are handled appropriately. Efficiency of implemented actions is demonstrated. Causes of anomalies and nonperformance are resolved and are input into the progress plan.
• The Quality Obtention section of the Progress Plan has been completed. They contribute to its definition.
• Help all operators gain quality job proficiencies (mentoring, training, etc.).

• Engineering degree or equivalent experience required.

- 2 - 3 years of manufacturing experience.

• Must be familiar with data mining tools such as power apps.
• Must be self-motivated and also team-oriented.

#LI-EO2

Ready to Shape the Future of Innovation?

Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.

The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.

Why Michelin?

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.

• Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.

• Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.

• Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.

Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .

This position is not available for immigration sponsorship.

We build the future with people like you. Begin your career with Michelin today!

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes in order to improve manufacturing safety, quality, and productivity.

Responsibilities

• Create and maintain work instructions and manufacturing specifications
• Identify and recommend methods for improving worker efficiency and reducing waste of materials and utilities
• Collaborate cross-functionally to facilitate production process and evaluate potential changes

Qualifications

• Bachelor's degree in either Industrial or Mechanical Engineering
• At least 1 - 2 years' of engineering experience
• Experience with Lean, Six Sigma, Kaizen, Kanban and 5S

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

• 
  
• 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: