Cooperative Learning Methods Jobs in Usa

• Earn a $2,000 monthly stipend while you finish the last 9 months of your RN education.

• MercyOne will reimburse your board and licensure fees.

• Once you have your licensure, start your career with MercyOne (18-month retention requirement).

• Working as a PRN Student Nurse Tech during the program is optional

Essential Key Job Responsibilities:

• Delivers assigned patient care and treatment as delegated by an RN or LPN.

• Performs or assists patients with activities including personal hygiene, bathing, ambulation, transporting, range of motion exercises, dressing/undressing, feeding, changing bandages, elimination needs, and emptying drainage devices.

• Responds to patient calls and anticipates patient needs.

• Assures patient safety and comfort through use of safe patient handling techniques, regular rounding, environmental maintenance, equipment maintenance, and other appropriate safety measures.

• Calculates intake and output (excluding IVs). Measures vital signs. 

• Performs bedside blood glucose testing. 

• Makes entries to patient health records as consistent with scope of job duties and in compliance with company policy.

• Initiates or assists with emergency support measures (i.e., cardiopulmonary resuscitation, protecting patient from injury).

• Performs post-mortem care.

• Sets up equipment and supplies for procedures. 

• Prepares patients and rooms for procedures, admissions, and transfers. 

• Discharges patients from system.

• Observes and reports information regarding any change in physical/mental condition, behavior, or status of the patient to the nurse.

• Collects and labels specimens.

• Sets up, operates, and maintains selected pieces of equipment.

Qualifications:

• Currently enrolled in an accredited registered nursing program.

• Must be 18 years of age.

• Proof of completion of Mandatory Reporter – Child and/or Dependent Adult Abuse training within three (3) months of hire.

• American Heart Association Basic Life Support (BLS) for Healthcare Providers certified within six (6) weeks of hire

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.

Position Purpose:

At Saint Mary’s Hospital, the Nurse Senior – Educator, informally known as the Nursing Professional Development Specialist, will advance nursing excellence through evidence-based education and professional development. This role empowers nurses to deliver high-quality, patient-centered care by fostering lifelong learning and supporting clinical competency across service lines.

What You Will Do:

• Design, implement, and evaluate educational programs that promote clinical competency, orientation, and continuing education for nursing staff.

• Collaborate with nursing leadership and interdisciplinary teams to assess learning needs and develop targeted strategies for professional growth.

• Serve as a mentor and resource, guiding nurses in evidence-based practice and supporting quality improvement initiatives.

• Lead efforts to integrate best practices and regulatory standards into nursing education and clinical workflows.

Required:

• Current and valid Connecticut RN license.

• Graduation from an accredited nursing program. A Master of Science in Nursing (MSN) is a strong preference; near requirement. BSN candidates will only be considered if they are actively pursuing an MSN or higher degree.

• Minimum of 3 years of clinical experience in Medical/Surgical or Critical Care inpatient specialty/service lines. This will include, but is not limited to: Critical Care, Telemetry, and/or Medical-Surgical service lines.

Preferred:

• Experience in staff education or professional development (strong preference; nearly required).

• Current BLS certification and advanced specialty certifications (ACLS, etc.). Certification support will be offered post-hire.

• Demonstrated ability to design and deliver educational programs for nursing staff.

Position Highlights:

• Part-Time: 24 hours/week

• This is a salaried position

• Salary Range: $40.05 (49,982) to $70.50 (87,984)

• Schedule Expectations:
  This role requires a flexible weekly schedule. While most hours are worked during standard business times, the Hiring Manager is looking for someone who is willing and able to adjust their schedule as needed, including occasional evening or weekend hours to meet program and patient needs.

Ministry/Facility Information:

Saint Mary’s Hospital, operating since 1909, is a Catholic, not-for-profit, community teaching hospital dedicated to serving patients in Waterbury, CT, and the surrounding communities. What sets us apart is evident from the moment you walk through our doors: the genuine warmth and attentiveness of our physicians and nurses, the pristine condition of our facilities, and the way we strive to make patients and their families feel cared for, akin to being a cherished member of our own family.

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.

The Saint Alphonsus Medical Group (SAMG) is now hiring for a motivated and efficient Medical Assistant for our Clinical Support Team as a Float!

• MAs in the Clinical Support Team work at a variety of primary care and specialty clinics throughout the Treasure Valley, from Boise to Ontario, OR, that are needing staffing assistance.

• The float position offers a great deal of variety and is a great way to learn about all of the different service areas and specialties of the Saint Alphonsus Medical Group.

• Please make sure you meet the minimum requirements below before applying. CNA certification does not count towards MA certification. MA experience or schooling is required.

• You will work in a team environment to promote a positive experience in patient care with compassion and kindness.

• You will perform duties under the Medical Assistant scope of practice based on clinics' needs.

• You will support and work under the supervision of the Physician and/or Advanced Practice Provider. Clinical oversight is provided by the RN Supervisor, Lead Nurse and/or SAMG Nursing Administration.

• You will support efficient clinic flow along side a variety of Providers, Clinical Support and Front office staff and communicate accurately and positively with team members. 

• These are full-time positions, 40 hours per week.

• Work shifts could be 5 - 8's, 4 - 10's, or 3 - 12's.

• Work schedules will vary based on staffing needs in the clinics, but are around the hours of 7:00am - 5:00pm or later.

• Availability is needed primarily Monday – Friday with an occasional weekend and holiday coverage needed.

• These positions qualify for pay differentials.

Requirements:

• High School Diploma or equivalent required at hire.

• MA certification required within 90 days of hire from one of the following Saint Alphonsus approved agencies:

  • American Association of Medical Assistants (CMA)

  • American Medical Technologists (RMA)

  • National Healthcare Association (CCMA)

  • National Center for Competency Testing (NCMA)

  • National Association of Health Professionals (NRCMA)

  • American Medical Certification Association (CMAC)

  • National Phlebotomy Certification Examination (NPCE MA)

• New Graduates: 1) MA certificate of completion required from an accredited program or school. 2) Completion of either a 100-hour MA externship or 6 months MA experience in lieu of the externship hours even with MA certification.

• Medical Assistant with Experience: 1 Year of MA experience OR Current MA Certification OR obtain or renew certification within 90 days from hire from approved credentialing agencies listed above.

• Basic Life Support for Healthcare providers certification from either AHA, ARC or the Military Training Network is required at hire.

• *Obtaining the MA certification typically requires completing an MA Program or working as a Medical Assistant for at least 1 year. See each of the credentialing organization sites for additional details. EMT and CNA certifications will not count towards an MA certification.

When Saint Alphonsus takes care of you, you can take better care of our patients. We foster personal and professional growth and offer opportunities that empower our colleagues to develop their careers. Our belief in work-life balance compliments the natural beauty, diverse landscapes, and outdoor recreation lifestyle that is unique to Idaho and Oregon.

• We offer market-competitive pay, generous PTO, and multiple options for comprehensive benefits that begin on day one.

• Benefits for your future include retirement planning and matching, college savings plans for your family, and multiple life insurance plans that can change as your needs develop.

• We are proud to offer Employee Assistance Programs, tuition reimbursement, and educational opportunities to help you learn and grow.

Visit to learn more!

Saint Alphonsus Health System is a faith-based ministry and not-for-profit health system serving Idaho, Oregon, and northern Nevada communities. The health system boasts 4 hospitals, 609 licensed beds, and 73 clinic locations. Through innovative technologies, compassionate staff, and healing environments, Saint Alphonsus' goal is to improve the health and well-being of people by emphasizing care that is patient-centered, physician-led, innovative, and community-based.

• Forbes America's Best Large Employers 2025;

• Forbes America's Best Employers for Healthcare Professionals 2025;

• Top 15 Health Systems in the country by IBM Watson Health;

• The region’s most advanced Trauma Center (Level II);

• Commission on Cancer Accredited Program through demonstrating an uncompromising commitment to improving patient survival and quality of life.

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.

Research Engineer – Applied Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.

Responsibilities:

• Prototype and optimize algorithms in computer vision and machine learning.

• Build scalable training and inference pipelines on cloud platforms (AWS EKS).

• Perform data curation, model evaluation, and system integration.

• Collaborate with academic and government research partners.

Requirements:

• BS or MS in Computer Science, Engineering, Applied Math, or related field.

• Experience with PyTorch or TensorFlow and scalable model training.

• Strong background in algorithms and software design.

• Excellent communication and technical writing skills.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).

• Familiarity with Kubernetes and distributed data systems.

Why Novateur?

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.

Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.

Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

The Learning & Development Specialist - Leadership Programs is responsible for designing, implementing, and managing leadership development initiatives that equip emerging and established leaders with the skills and competencies needed to drive organizational success. This position will focus on building a robust leadership pipeline, enhancing the capabilities of high-potential leaders, and aligning leadership development programs with the organization’s goals and values.

Main Job Duties – Learning & Development Specialist, Leadership Programs

• Design and deliver leadership development programs that build a strong, future-ready leadership pipeline.
• Partner with the Director of Learning & Organizational Development to shape and execute organization-wide leadership strategies.
• Create high-impact learning experiences using sound instructional design principles for in-person, virtual, and blended formats.
• Select and implement leadership assessments (e.g., 360, Hogan, DISC, Hi-Po tools) to support leader growth and development.
• Facilitate engaging leadership trainings for small and large groups across the organization.
• Coordinate program logistics and delivery in partnership with HR, county leadership, and site leaders.
• Establish and track program metrics to evaluate impact and drive continuous improvement.
• Serve as the central point of contact for all leadership development initiatives.
• Manage leadership programs within the LMS, including scheduling, tracking, reporting, and user support.
• Stay current on industry trends and integrate innovative best practices into OCDC’s leadership programs.

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

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-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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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

#LI-SM4

#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: