Reltio Learn Jobs in Usa
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Job Title: Senior MDM Architect (Reltio MDM)
Location: Eagan, MN (Onsite)
Experience Required: 9–12 Years
Job Summary
We are seeking a highly experienced Senior Architect / MDM Engineer with deep expertise in Reltio MDM to design and implement enterprise-scale data management solutions. This role is critical in driving data quality, governance, and integration across systems while enabling business value through reliable and scalable master data solutions.
The ideal candidate will bring strong architectural capabilities, hands-on MDM experience, and a proven track record of delivering impactful data solutions in complex environments.
Key Responsibilities
- Design and implement scalable architecture solutions leveraging Reltio MDM.
- Collaborate with cross-functional teams to integrate MDM solutions with enterprise systems.
- Define and implement data governance and data quality frameworks.
- Translate business requirements into robust technical solutions.
- Provide technical leadership and guidance throughout the development lifecycle.
- Develop and maintain documentation, including architecture diagrams and training materials.
- Monitor system performance and troubleshoot issues to ensure optimal functionality.
- Lead continuous improvement initiatives in data management practices.
- Ensure compliance with industry standards and best practices.
- Evaluate emerging technologies and recommend enhancements to MDM solutions.
- Manage project timelines, deliverables, and stakeholder expectations.
- Drive innovation in data architecture and master data management strategies.
Required Skills & Qualifications
- 9+ years of experience in data architecture and development.
- Strong hands-on experience with Reltio MDM (mandatory).
- Expertise in master data management, data governance, and data quality frameworks.
- Experience integrating MDM platforms with enterprise systems (APIs, ETL tools, etc.).
- Strong analytical and problem-solving skills.
- Proven experience in designing scalable data architectures.
- Excellent communication and stakeholder management skills.
- Experience in Agile or hybrid delivery models.
Nice-to-Have Skills
- Experience in domain-specific data models (e.g., healthcare, finance, retail).
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with data integration tools and middleware.
Location: Columbia, MD
Time Type: Full time
Requisition ID: REQ2989
Enterprise is a national nonprofit that exists to make a good home possible for the millions of families without one. We support community development organizations on the ground, aggregate and invest capital for impact, advance housing policy at every level of government, and build and manage communities ourselves. Since 1982, we have invested $80.9 billion and created 1 million homes across all 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands – all to make home and community places of pride, power and belonging.
Join us at
Working at Enterprise
At Enterprise, you’ll be part of a diverse, committed team making a difference every day. You will collaborate with some of the smartest minds and biggest hearts in our field. You’ll be empowered to drive systems change and take bold steps to advance racial equity. And you will find a career home where you’re valued and supported in your growth journey.
Enterprise offers career opportunities in our offices across the country with an exceptional benefits package.
Job Description Summary
The Learning Management System, Sr. Program Manager is responsible for the design, implementation, administration, and day-to-day operation of the learning management system (LMS) at Enterprise Community Partners. Initially, this role will be responsible for project managing the execution of LMS strategy, identifying significant milestones for LMS implementation, and leading the development/testing phases of the LMS with internal and external partners. This role will be responsible for partnering with Organizational Development leadership to successfully launch and integrate the LMS within the organization.
The role includes providing technical support, configuring new properties, users and course assignments and consulting with stakeholders across the organization. This role will ensure that both external and internal LMS training aligns with the learning strategy, fostering a culture of continuous learning and professional development.
Job Description
Responsibilities:
Project manage the design, testing, and integration of the LMS organization
wide. Collaborate with Organizational Development & Talent Management
Senior Director and team to maintain and optimize the LMS.
Oversee the day-to-day operation of the LMS ensuring seamless functionality
and a user-friendly experience for Enterprisers (employees). Responsibilities
include user account management, course or cohort assignment, transcript
process, audits, reporting, and troubleshooting platform or user issues.
Establish and maintain content standards, ensuring consistency in tone,
structure, and format across all training materials and end user experience.
Regularly review and update LMS content to reflect changes and best
practices.
Collaborate with internal teams to guide and support the design and
implementation of training programs for Enterprisers (employees), including
onboarding content for new hires and continuous education for existing staff.
Develop, build, and analyze reports on LMS usage and key performance
indicators. Monitor and analyze learner progress, course completion rates, and
other relevant metrics to measure utilization and success. Provide insights to
improve training effectiveness and make data-driven decisions for continuous
improvement.
Stay updated on LMS product features in the Workday platform and best
practices for LMS management. Suggest and implement improvements to the
training system based on internal feedback and emerging trends in eLearning
and building performance.
Other duties as assigned supporting in delivering best-in-class LMS
functionality to the organization.
Qualifications:
Bachelor's degree or certification in education, IT, Talent Development,
Learning Technology or equivalent.
Minimum of three years’ experience with cloud based LMS platforms (e.g.,
Workday, Cornerstone) and organizational integrations with SCORM, APIs and
third-party vendor educational libraries.
Exceptional organizational abilities and attention to detail. Ability to manage
multiple tasks, prioritize effectively, and work independently.
Flexible and agile team member with strong teamwork, cross collaboration,
and calibration skills.
Experience coordinating efforts, meeting deadlines, and ensuring alignment
on deliverables.
Excellent verbal and written communication skills. Ability to explain technical
concepts in simple, accessible language for non-technical users.
Passion for delivering exceptional learning experiences and a commitment to
contributing to a robust learning ecosystem.
Strong troubleshooting skills, with a focus on resolving issues related to the
LMS and technical aspects of the training content.
Familiarity with accessibility requirements and best practices for creating
inclusive learning content.
The Ideal Candidate:
Familiarity with integrating outside vendors such as LinkedIn Learning with
Workday.
Experience creating and maintaining varied course types and/or creating
interactive eLearning content (e.g., Articulate Storyline, Adobe Captivate).
Certifications in LMS administration or instructional design.
Total Rewards at Enterprise:
You will be working with a group of talented professionals who are motivated by serving the community and addressing the need for affordable housing.
Enterprise offers a comprehensive total rewards package for you and your family.
The base salary for this role is $90,000 to $115,000, depending on level of skills and experience.
The salary range for this position is represented by the low and high end of the range for the amount to be paid for the position. Salaries paid at Enterprise will vary based on factors that may include skills, education, location, experience, and performance. The salary range is just a part of the total rewards package provided to employees at Enterprise, and other rewards may include annual performance bonuses and generous paid leave programs.
At Enterprise, our benefits form a major component of our total rewards package. Benefits include dental, health, and vision care plans, as well as family-building benefits, such as fertility, adoption, surrogacy support, and gender-affirming care. Enterprise allows flexible work arrangements to promote a better work-life balance. We offer health advocacy, EAP, and mental health benefits. We round out our total rewards package by offering financial education, wellness programs, and auto-enrollment in the company's 401(k) plan with employer matching contributions. Finally, you will have learning and development opportunities, including tuition reimbursement for job-related courses and certifications. Thank you for your interest in joining the Enterprise team in our effort and commitment to serve others.
#LI-JW1 #ID
PI283228492
Summary:
The Clinical Learning Operations Coordinator supports the delivery, management, and administration of clinical education programs. This role applies technical expertise to support digital learning, the hands-on capacity to support in-person learning events, and the organizational skills to support the administrative and logistical aspects of an education team. The Coordinator ensures that educational activities are well-organized, compliant with regulatory agencies, accessible, and aligned with clinical staff development goals.
Responsibilities:
Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
Digital Learning Support
Collaborates with system and ministry leaders to ensure the right courses are assigned to the right audience, and additional course activities are vetted and created as part of the system's standardized approach.
Manages local user enrollment, troubleshooting, and reporting.
Tracks learner progress, generates compliance reports, and provides analytics to leadership
Supports faculty and staff with LMS usage, including uploading materials, managing virtual classrooms, and resolving technical issues.
Fields local requests for new or existing content to be added to the LMS, including collaboration on new content creation based on need and approval.
In collaboration with leadership, ensures LMS content meets accreditation, regulatory, and organizational standards.
Facilitates the placement of in-person courses onto the digital learning management system (i.e., Transcripts, Course shells).
Learning Program Support
Assists with planning, scheduling, and coordinating in-person (non-digital) clinical education programs, courses, workshops, and events.
Prepares learning materials, rosters, evaluations, and certificates.
Provides onsite or virtual support during training sessions (attendance tracking, technical setup, materials distribution).
Collects and analyzes participant feedback to support program improvement.
Supports in-person delivery of education as needed through the use of technology, quizzing tools, or other teaching adjuncts.
Administrative Support
Serves as a point of ministry contact for learners, educators, and stakeholders regarding educational logistics.
Maintains accurate documentation, records, and databases related to continuing education, workshops, and professional development initiatives.
Provides logistical support such as ordering food, supplies, and room reservations for in-person workshops and courses.
Support budget tracking, invoices, and vendor coordination as needed.
Contributes to the streamlining of processes to improve efficiency in clinical education operations.
Responsible for other related duties as assigned.
Job Requirements:
Education/Skills
High school diploma or equivalent experience is required
Strong technical skills with Microsoft Office Suite, virtual platforms (Zoom, Teams, WebEx), and database management required
Excellent communication, organizational, and customer service skills required
Adaptability and willingness to learn new technologies and systems required
Experience
2 - 4 years of experience in education administration, training coordination, or healthcare operations preferred
Experience with Learning Management Systems (e.g., HealthStream, Cornerstone, Docebo, etc.) or equivalent experience required
Ability to manage multiple priorities in a fast-paced, clinical education environment is required
Attention to detail and accuracy in managing data required
Strong problem-solving and troubleshooting abilities required
Collaborative team player with a service-oriented mindset required
Licenses, Registrations, or Certifications
None required
In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.
Work Schedule:
5 Days - 8 Hours
Work Type:
Full Time
The Learning Management System (LMS) Specialist plays a critical role within our Learning Ecosystem, partnering closely with HR and with Team Members across the organization. This role reports to the Senior Manager, Curriculum.
In this position, you will own the tasks and activities related to Workday Learning, including building courses, learning paths, and programs. Also, maintaining regular assignments and working with HR technology to build easy-to-use reporting for key training metrics and measures. This role will also work with our content vendors, troubleshoot issues or concerns, and build relationships with our account management team.
Responsibilities:
- Administer and maintain the LMS, including audience management, course setup, and content uploads.
- Troubleshoot technical issues and provide support to users, including assisting Nouria Team Members with LMS navigation and functionality.
- Collaborate with instructional designers and content creators to develop and implement online courses and assessments.
- Ensure course materials are updated and aligned with educational and quality standards.
- Monitor and analyze LMS data, including user engagement and course completion rates.
- Generate reports for stakeholders to inform instructional improvements and decision-making.
- Stay updated on industry trends and best practices in LMS management.
- Recommend enhancements to improve user experience and system functionality.
Qualifications and Skills:
- College degree or equivalent experience required
- Proven experience as an LMS Administrator, familiarity with various LMS platforms (Workday Learning is a strongly preferred).
- Strong technical skills, including troubleshooting and problem-solving.
- Experience using industry‑standard assessment tools (strongly preferred).
- Demonstrated ability to design and develop learning content tailored to specific roles and audiences with exceptional attention to detail.
- Proficiency with the ADDIE model from analysis through evaluation.
- Ability to synthesize complex information and stakeholder feedback into clear, accessible learning materials.
- Proven ability to build strong relationships and influence across functions and all organizational levels.
- Strong strategic thinking skills with the ability to translate ideas into actionable solutions.
- Exercises sound judgment and comfortably challenges assumptions to drive improvement.
- Skilled in root‑cause analysis, solution development, and data‑informed decision-making.
- Excellent project and time management skills, with the ability to manage multiple priorities independently.
- Proficient with various technology systems and able to learn new tools quickly.
- Demonstrates openness to feedback and a commitment to continuous personal and professional 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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Position title:
Assistant/Associate/Full Researcher
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $199,700- $357,200.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 26, 2026
Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.
As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.
Key Responsibilities:
*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.
*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.
*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.
*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.
*Publish research findings in high-impact journals and presenting at scientific conferences.
*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.
*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).
*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.
*Organize and plan on the design and development of new AI techniques to further ABC's mission.
Lab:
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree)
Additional qualifications (required at time of start)
Two (2) years of post PhD research experience.
For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.
For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.
Preferred qualifications
*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.
*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.
*Strong publication record indicating research independence and leadership.
*Excellent communication, organizational, and leadership skills.
*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.
*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).
*Expertise in programming in C/C++, MATLAB, Bash.
*Expertise in databases, data infrastructure, data governance.
*Expertise in high performance computing using SLURM or LSF.
*Experience with PyTorch, JAX, or Tensorflow.
*Experience with NVIDIA CUDA and related OpenMP programming.
*Experience with cloud services (AWS, GCP, Azure, etc.).
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).
*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.
*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.
*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05214
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is 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, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
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.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
