Reinforcement Learning Jobs in Usa

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

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

Our Commitment to Inclusion:

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.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • 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 our PinFlex page 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:

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:

Job Summary

Fenagh Engineering & Testing is actively seeking a skilled and experienced ICC Reinforced Concrete Special Inspector for field and laboratory testing services in the Miami, FL area.

Duties

• Conduct thorough inspections of reinforced concrete work on construction sites, ensuring adherence to design specifications, codes, and safety standards.
• Verify proper concrete forming techniques, placement, curing processes, and reinforcement installation.
• Perform quality control tests and collect data related to concrete strength, mix consistency, and material properties through laboratory experience or field testing.
• Monitor masonry work and ensure compliance with project plans and specifications.
• Document inspection findings accurately through detailed reports, photographs, and checklists; communicate issues promptly to project teams.
• Analyze inspection data to identify potential deficiencies or deviations from standards; recommend corrective actions as needed.
• Review contracts and technical documents related to concrete work to ensure scope compliance and quality expectations are met.

Qualifications

• ICC Reinforced Concrete Special Inspector certification required.
• Proven experience in construction inspection with a focus on reinforced concrete structures; prior laboratory experience is highly desirable.
• Strong knowledge of construction site procedures, concrete forming techniques, masonry practices, and quality control processes.
• Familiarity with construction contracts, drawings, specifications, and relevant building codes.
• Demonstrated ability to collect, analyze, and interpret data accurately for quality inspections.
• Excellent communication skills for reporting findings clearly and collaborating with contractors and project teams.
• Knowledge of analysis skills related to concrete testing methods and quality assurance procedures. Join us in delivering safe, durable infrastructure by ensuring reinforced concrete structures meet the highest standards! Your expertise will help shape the future of construction projects while advancing your professional growth in a dynamic environment committed to excellence.

About Casa Cipriani:

Casa Cipriani New York is a private members' club and luxury hotel located within the historic Battery Maritime Building. The property features over 20,000 square feet of elegant event space, a 47-room hotel, multiple dining and lounge venues, and a world-class fitness and wellness center.

Since opening in 2021, Casa Cipriani New York has become one of Manhattan's most distinguished clubs, offering an exclusive environment for members to connect, relax, and engage through curated cultural, culinary, and wellness experiences. As Casa Cipriani expands nationally and internationally, our vision is to create a consistent, elevated standard of hospitality and programming that reflects our Four Pillars: Culture, Authenticity, Simplicity, and Elegance.

POSITION PURPOSE:

Casa Cipriani New York is seeking a highly organized and hospitality-driven Learning & Development Manager to oversee all training and development initiatives across the property. This role is responsible for ensuring employees across the hotel, private members' club, restaurants, lounges, and event operations are equipped with the skills, knowledge, and behaviors necessary to deliver a consistent, refined luxury guest experience.

The Learning & Development Manager partners closely with Human Resources, senior leadership, and department heads to support operational excellence, service consistency, and brand standards aligned with Casa Cipriani's Four Pillars: Culture, Authenticity, Simplicity, and Elegance.

ESSENTIAL FUNCTIONS AND DUTIES:

• Design, implement, and manage a comprehensive, property-wide training strategy aligned with operational goals and service standards
• Develop and maintain structured onboarding programs, including role-specific and phased training plans for new hires
• Create, update, and oversee department- and position-specific training curricula across all operational areas
• Deliver and facilitate service standards training, leadership development programs, and operational skill-building initiatives
• Ensure training programs consistently reinforce luxury hospitality service expectations and guest experience standards
• Partner with department leaders to identify performance gaps and implement targeted training solutions
• Manage and administer the Learning Management System (LMS), including course assignments, completion tracking, and reporting
• Develop and maintain an organized digital library of SOPs, training materials and job aids, including presentations, facilitator guides, and micro-learning tools
• Collaborate with department heads to assess training needs and align programs with operational priorities
• Coach managers and supervisors on effective training, onboarding, and team development practices
• Ensure all required compliance, policy, and operational training is delivered, documented, and tracked accurately
• Maintain training records to support audits, regulatory requirements, and internal reporting
• Monitor training participation and effectiveness through feedback, completion data, and operational performance indicators
• Provide regular updates and recommendations to HR and leadership regarding training outcomes and improvement opportunities
• Continuously refine training programs based on business needs, guest feedback, and operational insights

KNOWLEDGE, EXPERIENCE AND SKILLS:

• 3–5 years of experience in training, learning & development, or hospitality leadership, preferably within a luxury or high-end hospitality environment
• Proven experience designing, facilitating, and managing training programs across multiple departments
• Strong understanding of luxury service standards and hospitality operations
• Experience managing an LMS and digital learning platforms preferred
• Excellent facilitation, presentation, and communication skills
• Strong organizational and time-management skills with the ability to manage multiple initiatives simultaneously
• Ability to collaborate effectively across departments and leadership levels
• Professional discretion within a private members' club environment

PHYSICAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION:

• Ability to stand, walk, and move throughout the property for extended periods
• Capacity to facilitate in-person training sessions and conduct on-floor observations
• Ability to lift and carry training materials or equipment weighing up to 25 pounds
• Flexibility to bend, reach, and perform light physical tasks as needed
• Ability to work a flexible schedule based on operational and training needs

INTENT AND FUNCTION OF JOB DESCRIPTIONS

All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer.

Cipriani is an equal opportunity employer.

Who we are:

Delta, founded in 1971, is a global provider of power and thermal management solutions. Its mission statement, "To provide innovative, clean and energy-efficient solutions for a better tomorrow," focuses on addressing key environmental issues such as global climate change. As an energy-saving solutions provider with core competencies in power electronics and automation, Delta's business categories include Power Electronics, Mobility, Automation, and Infrastructure.

About the role:

As a key member of the Delta Americas HR team, the Learning & Development (L&D) Manager will lead the strategy, development, and implementation of impactful learning programs that enhance employee performance, develop leadership capabilities, and build a culture of continuous growth. This role partners closely with business stakeholders and global HR to assess development needs, build scalable programs, and measure learning effectiveness. The ideal candidate brings both strategic insight and hands-on instructional design experience.

Key responsibilities:

1. Learning & Development Strategy

• Design and execute L&D strategies that align with Delta’s global HR goals and the Americas Region priorities.
• Identify training needs, assess knowledge/skill gaps, and propose solutions.
• Stay current with industry best practices and bring forward innovative approaches in learning technologies and delivery modalities.

2. Program Design & Execution

• Develop and implement a full suite of development programs, including onboarding, technical training, leadership development, high-level managerial training, and compliance training.
• Create engaging, high-impact learning content using blended approaches (instructor-led, web-based, read-and-understand, microlearning, etc.).
• Oversee all aspects of program logistics – from vendor management, communications, scheduling, and space setup to evaluation and post-training follow-up.
• Utilize the Learning Management System (LMS) to manage training assignments, tracking, and reporting.
• Partner with Corporate HR and internal SMEs to adapt and deliver core competency development programs.

3. Talent Development

• Lead and support the implementation of the Talent Review process, including critical talent identification and development planning.
• Mentor and coach employees to help them understand and pursue career development paths.
• Support regional execution of mentorship, coaching, and talent acceleration programs.

4. Evaluation & Continuous Improvement

• Define and track KPIs to measure training effectiveness, learning adoption, and business impact.
• Regularly review and revise program content based on feedback, business needs, and performance data.
• Provide regular reporting to leadership on L&D activities, participation trends, and outcomes.

5. Team Leadership & Collaboration

• Serve as a mentor to L&D specialist, providing guidance on instructional design and project execution.
• Partner with internal teams to develop effective communications and rollout plans for training initiatives.
• Champion a culture of inclusion and continuous development across teams.

People Leadership Accountabilities

• Create Inclusion: Foster an inclusive learning environment and ensure diverse talent has access to development opportunities.
• Develop Talent: Coach team members and learners to identify skill gaps, expand capabilities, and realize their potential.
• Empower Teams: Align learning initiatives with business goals and enable teams to contribute meaningfully to organizational success.

Minium Qualifications:

• Master’s Degree with a minimum of 12+ years of experience in Learning and Development or related field
• Proven experience designing and delivering training programs in corporate settings, ideally within a manufacturing or technology environment.
• Proficiency in instructional design tools, e-learning development
• Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced, matrixed organization.
• Excellent written and verbal communication skills; strong facilitation and presentation abilities (both in-person and virtual).
• Advanced skills in Microsoft Office Suite (Word, PowerPoint, Excel, Outlook); familiarity with tools such as Zoom, Teams, and Smartsheet.

Benefit at Delta Electronics Americas: Life at Delta

***Candidates must be based in California, Maryland, or DC.***

ABOUT SEQUOIA CLIMATE FOUNDATION

Sequoia Climate Foundation is a climate philanthropy that believes in a world powered by clean energy, where all people are protected by policies that have averted the worst effects of climate change. We support bold strategies and efforts that will have both near-term impact and the greatest probability of long-term success. We believe that solving climate change requires the adoption of ambitious, evidence-based policy solutions that transform markets, advance clean technology, and lead to large‐scale change.

JOB SUMMARY

The Evidence and Learning Officer implements evidence and learning practices, providing actionable, evidence-based insights to grantmaking staff. They provide support in the development of theories of change, and review proposed strategies and grants to support high impact grantmaking. They work closely with grantmaking teams, providing training on key evidence and learning practices, as well as ongoing coaching and implementation support. They support strategic reflection practices with both grantmaking staff and grantees, using established methods and approaches. They work across multiple grantmaking portfolios, and are able to adapt their modes of engagement to meet the needs of grantmaking staff. Where necessary, they engage directly with grant recipients on evidence and learning related topics. They foster and embody a culture of organizational learning. The Research Officer will report to the Chief Evidence and Learning Officer, and collaborate closely with grantmaking staff across multiple organizations.

ESSENTIAL JOB FUNCTIONS & KEY OUTCOMES

• Collaborates with multiple grantmaking portfolios to support theory of change development and provide pragmatic reviews of proposed grantmaking (using established methods and protocols).
• Supports grantmaking teams to implement purpose-oriented reflection practices with grantees that support grant stewardship and ongoing learning.
• Supports implementation of structured processes for reflection and evidence-based briefings oriented toward distilling actionable insights that maximize climate impact.
• Collaborates with other Evidence and Learning staff to conduct purpose-driven, pragmatic quantitative analysis in support of philanthropic decision-making.
• Fosters and embodies a culture of iterative experimentation and learning internally and with partners.
• Manages multiple projects and timelines
• Performs other duties as required.

EDUCATION, EXPERIENCE & CREDENTIALS

• Advanced degree in policy, science, engineering, or mathematics required.
• A minimum of three years working in climate policy, climate philanthropy, or a related field is required.
• Demonstrated experience with synthesizing and translating technical content into actionable insights delivered verbally or writing or verbally required.
• Demonstrated experience with project management and coordination across a team required.
• Knowledge of learning and reflection practices preferred.

COMPETENCIES

• Integrity: Commitment to Sequoia Climate Foundation’s mission and values.
• Inspirational Leadership: Demonstrated values-based, results-driven leadership.
• Collegiality: Strong work ethic and experience working collaboratively with a team.
• Efficiency/Initiative: Ability to learn quickly, juggle multiple tasks, prioritize effectively and meet deadlines.
• Quality/Compliance: Attention to detail and timelines.
• Analysis: Comfortable applying mathematical concepts, including calculus, statistics, and Bayesian probability.

WORKING CONDITIONS

This is largely a sedentary position that requires the ability to speak, hear, see, and lift small objects up to 15 lbs. Requires the ability to periodically travel locally, regionally, nationally, and internationally.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Learning Experience Specialist.

Job Summary:

The Learning Experience Specialist for TAG University is part of the Learning Delivery & Experience team and responsible for organizing and coordinating the delivery of learning programs, both live and virtual, to ensure the learner experience is outstanding and impactful from beginning to end.

Learning Experience Specialists provide support to the greater L&D team through a shared service operating model, flexing between programs, functions, and audiences. They operate in a fast-paced environment, where there is an opportunity to have an impact every single day.

This role will partner closely with Facilitators, Program Managers, and key business partners to execute support for all learning programs. The Learning Experience Specialist will need to have a solid understanding of program goals and objectives, as well as learners’ and facilitators’ needs.

This person is action oriented, motivated to help others, and able to collaborate and maintain a strong network of partnerships. They must be exceptionally well organized, have strong problem-solving and execution skills, able to manage ambiguity, and operate with a customer service mindset. This role will report to the Director of Learning Delivery and Experience and is based in our world-class learning facility in Chicago, IL.

Essential Responsibilities

• Plan and execute end-to-end learning events—in-person and virtual—ensuring a seamless, outstanding learner experience from pre-event preparation through program close.
• Serve as the primary learner-facing presence throughout in-person programs, creating a welcoming environment and delivering attentive support that prioritizes participant accessibility and engagement.
• Prepare event logistics, including printed materials, swag, room configurations, and program-specific setup, ensuring every detail is thoughtfully anticipated and flawlessly executed.
• Act as the on-site hub for day-of operations, managing learner check-in, campus navigation as needed (and in partnership with the Manager, TAG U Campuses), accessibility needs, and real-time issue resolution while serving as the key liaison among facilitators, IT, Facilities, catering, and campus leadership throughout live programs.
• Serve as an internal consultant to the L&D team, generating innovative ideas that continuously elevate program quality, cultivate community, and meet or exceed experience standards.
• Proactively surface learner experience gaps and friction points, escalating trends to the Manager, TAG U Campuses as needed.
• Cultivate and maintain cross-functional partnerships with Events, Facilities, IT, and key business partners to co-create and deliver cohesive, exceptional learning experiences.
• Partner with the Manager, TAG U Campuses before, during, and after learning events to ensure all spaces are on-brand, fully prepared, and reset between sessions to consistently uphold learner experience standards.
• Support and operate learning technology for in-person and virtual sessions; train and coach L&D team members and business partners on relevant platforms to ensure consistent, capable delivery.
• Maintain accurate learning records in the Learning Management System, including completion tracking and CE credit submission.
• Flex into expanded coordination and learner support responsibilities during high-volume periods, and contribute to change management efforts by providing program coordination as needed.
• Other duties as assigned.

Requirements/Qualifications

• Education Level: Bachelor’s Degree or equivalent work experience is required.
• Professional experience of 1-2 years with transferrable skills in organizing and executing on programs and/or program work, managing logistics for customer/participant facing events or programs, project organization.
• Independent decision making aligned to support organizational goals and strategy.
• Specializes in performing tasks based upon functional areas related to service, quality and/or productivity.
• Seeks opportunity for continuous improvement.
• Strong written and verbal communication skills; ability to interact with individuals at all levels of the organization.
• Very detail-oriented with strong organizational skills.
• Proven analytical and problem-solving skills.
• Plans, organizes and executes tasks and activities with urgency.
• Highly proficient in Microsoft Office Suite – i.e., multiple Outlook accounts, Word, Excel, OneNote, PowerPoint, etc. and SharePoint.
• Operate office equipment, including copiers and computers.
• Required to meet position related productivity and quality standards along with all standard operating procedures set and communicated.

Additional Details:

• Base Pay Range: $60,000-$65,000 (Actual pay may vary based on experience, performance, and qualifications.)
• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
• This position will be based on-site in Chicago, IL, 4 days/week & 1 day remote.
• If you are an applicant residing in California, please view our privacy policy here:

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 50 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team at Aspen Dental as a Senior Manager, L&D, Non-Clinical.

Job Summary:

This Senior Manager is an important part of the Learning and Development team and has accountability for development strategies and programs for non-clinical team members. This role will report to the Director, L&D and partner closely with the Field leadership team to create and implement learning solutions and programming that support field team members at all stages of their development.

This Senior Manager is a proven leader who can effectively collaborate with the Field leadership team and other partners in Learning & Development and Human Resources. This leader is a strong performance consultant who can develop solutions and programming to build foundational to advanced knowledge, skills and abilities. This leader has experience orchestrating organizationally complex work and demonstrating business impact through data. This leader must also be hands-on with a willingness to analyze and build, unafraid to roll-up their sleeves to get projects done.

Essential Responsibilities:

• Partner with the Field leadership team and the broader L&D and HR teams to understand specific development needs for Aspen Dental field team members, including operations skill development, leadership and professional development and business management skills.
• Design, develop and deliver a suite of highly effective learning solutions, programs, tools and resources. Solutions may include formal learning programs, experiential learning assignments, coaching, etc.
• Create and enable successful learning plans for each role including PSC, OM, OL, RM and TD.
• Manage learning and development Field programs from end-to-end, design, development, communication, facilitation, implementation and program analysis.
• Drive a learning culture within the Field team.
• Understand the specific needs of each learner audience so you can advocate and adapt for their specific needs and preferences.
• Lead a team of end-to-end, non-clinical L&D professionals, providing direction, coaching and support to optimize the performance and potential of each team member.
• Evaluate existing Field programs/content for impact and alignment with organizational needs. Iterate and provide recommendations for learning experiences that increase reach, impact, and future capability requirements.
• Use data to measure success: learn, iterate, and improve; analyze trends and develop proactive actions to improve the experience for future learners.
• Serve as a Learning and Development thought partner. Proactively research and identify opportunities to apply new thinking to improve effectiveness and on the job performance. Stay in touch with learning field trends and best practices.
• Partner with others to solve business problems and execute learning and development initiatives.
• Other duties as assigned.

Requirements/Qualifications:

• Education Level: Bachelor’s degree required
• A minimum of 7+ years of relevant learning and development experience, ideally in a fast-paced organization with a distributed workforce.
• A minimum of 5 years project management experience using project management tools to manage medium to large scale content development projects.
• A minimum of 3+ years leading a team of L&D professionals.
• Advanced understanding of adult learning theory and principles.
• Highly developed skill in instructional design and implementing development programs for all audiences.
• Strong business insight, with the ability to credibly make a business case, by linking current and anticipated business challenges with learning and development solutions.
• Well versed in multiple applications of digital learning, just-in-time / micro-learning, and blended learning strategies.
• Strong capabilities in data analytics (as it pertains to measuring learning).
• Experience providing consultation to senior leadership on strategic initiatives.
• Excellent communication and influencing skills at all levels in the organization and extreme flexibility to be proactive in a fast paced, ever-changing environment.
• Excellent facilitation skills. Experience in small and large group facilitation in multiple modalities.
• Ability to travel as needed.

Starting at $119,000+ DOE with a 15% bonus

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Associate Director, Online Learning Job Summary:

We’re looking for an Associate Director, Online Learning to join an Association in Washington, DC. This is a contract-to-hire opportunity that will require you to work onsite three (3) days per week. As the Associate Director, you will work in conjunction with departmental leadership to implement the department’s strategic vision and oversight of the Division-wide online and blended learning initiatives and content development. The position requires experience in instructional design and education program development across different modalities, working closely with subject matter experts, procuring, and managing external vendors and partnering organizations, and measuring business impact and effectiveness of deployed learning solutions.

Associate Director, Online Learning Responsibilities:

• Support the Director in executing the department’s vision, strategy, and development of accredited online learning initiatives.
• Lead and support the instructional design team to deliver high-quality online learning programs that meet or exceed departmental performance metrics.
• Recruit and collaborate with psychiatrists, subject matter experts, allied organizations, and internal stakeholders to identify knowledge gaps and develop educational content.
• Manage the full lifecycle of online learning activities, including planning, development, launch, review, and renewal within the Learning Management System (LMS).
• Develop and oversee project plans for online learning initiatives, ensuring milestones, timelines, and budgets are met.
• Ensure all educational activities adhere to accreditation standards, compliance requirements, and quality control processes.
• Track and analyze LMS data and program performance metrics to measure success, identify learner insights, and support strategic planning.
• Produce reports on Learning Center activity and provide required learner and program data to external partners and accrediting organizations.
• Oversee vendor relationships and external solutions to ensure alignment with project objectives, timelines, budgets, and deliverables.
• Develop and maintain standard operating procedures, workflows, and a customer service model that supports efficient team operations and stakeholder support.
• Manage the Online Learning Help Desk and escalation processes to ensure timely resolution of technical and user issues.
• Collaborate with marketing and communications teams to support promotion and outreach for online learning programs.
• Research and recommend best practices and emerging trends in online learning, instructional design, and digital education.
• Supervise and mentor the LMS Administrator and provide coaching and guidance to junior staff members.
• Provide administrative and operational support for committees and other departmental initiatives as needed.

Associate Director, Online Learning Qualifications:

• BA/BS and at least 5-7 years of relevant experience.
• Experience with managing complex projects with demonstrated success in meeting deadlines, managing vendors, and managing related budgets.
• Strong decision-making and problem-solving skills; proven research skills to gather data, best practices, and points of view to ensure sound judgment.
• Experience working in associations industry is preferred.
• Experience with adult educational and/or healthcare programs is preferred.
• Excellent communicator capable of providing leadership to individuals and groups.
• Self-motivated, able to work independently, and shows attention to detail.
• Knowledge of how websites operate (i.e., databases, APIs, and content management systems).
• Demonstrated experience with computer-based and/or software-as-a-service (SaaS) tools such as podcast platforms, Salesforce, HTML, Captivate, Articulate 360 suite of programs, Microsoft 365, Adobe Premiere, Vimeo, Zoom, GoToWebinar, and/or other graphic and media design/production tools.

Who We Are

The International Warehouse Logistics Association (IWLA) is a trade association dedicated to supporting warehouse logistics providers across North America. We are elevating our educational portfolio, modernizing our LMS and digital learning infrastructure, and building meaningful learning experiences that help members grow. Our team values collaboration, service, clarity, and continuous improvement.

Who We Seek

We are looking for an LMS & Curriculum Development Manager who is passionate about adult learning, digital learning systems, and creating high‑quality educational experiences for industry professionals. This role is ideal for someone who enjoys organizing complex content, working with subject matter experts, and building structured, scalable learning pathways. If you are service‑oriented, detail‑driven, and energized by supporting members and events, we want to hear from you!

What You Will Do

• Manage and optimize IWLA’s Learning Management System (LMS).
• Develop and maintain curriculum frameworks, learning pathways, and certificate programs.
• Collaborate with subject matter experts (SMEs) to source, review, and improve learning content.
• Lead the development of IWLA’s Essentials Certificate Program.
• Support educational programming for IWLA’s Annual Convention and live events.
• Assist in session planning, presenter support, and ensuring a positive member experience.
• Analyze LMS data to evaluate program effectiveness and implement improvements.
• Create structure, organize content, and uphold quality standards across all learning products.
• Stay current on adult learning practices, adult learning theory, and association education trends.

What You Will Need

• 3–5+ years of experience in adult learning, L&D, LMS administration, or digital learning operations.
• Hands-on experience managing or configuring an LMS (any platform).
• Strong understanding of adult learning theory and professional learning design.
• Experience collaborating with SMEs, speakers, or industry contributors.
• Excellent communication, organization, and judgment.
• Ability to manage multiple projects and meet deadlines with consistency.
• A service‑focused, team‑oriented approach to work.
• Bachelor’s degree in Education, Instructional Design, L&D, or related field preferred.
• Willingness to attend IWLA events and support onsite learning experiences.
• Bilingual candidates encouraged to apply.

What We Offer

• An engaging role shaping IWLA’s growing digital learning ecosystem.
• Opportunities to build and refine curriculum, certificates, and learning pathways.
• A collaborative, mission-driven team with support from IWLA leadership.
• Exposure to LMS platforms, adult learning strategy, SME relationships, and association education.
• No-cost health benefits, dental, vision, life, disability insurance, and employee assistance program.
• 401(k) matching and financial education resources.
• 22 Work From Home Days.
• Professional development support and opportunities for advancement.

Job Type & Compensation

Job Type: Full-time

Pay: $76,000 - $90,000

Expected Hours: 40 per week

Location: Schaumburg, IL (On-Site)

Travel: Up to 20% annually (Annual Convention + education events)

Benefits:

• 401(k) 6% Match
• Dental insurance
• Employee assistance program
• Health insurance
• Life insurance
• On-site gym
• Paid time off
• Vision insurance

Experience:

• Non-profit accounting: 1 year (Preferred)

Work Location: Schaumburg, IL 60173

• In person (Required)

The IBM Consulting Learning and Knowledge (L&K) Americas Lead will be accountable for overall skills growth for our client-facing Consulting staff in the Americas and local execution of the global L&K strategy. This role will manage local L&K resources, be responsible for the Americas L&K budget, and coordinate with business leaders, L&K’s worldwide portfolio teams, and several shared services functions to ensure that priority education and credential needs are met within the budget.

Key responsibilities include engaging with Geography stakeholders to understand their needs and priorities, raising those needs with L&K’s global portfolio leads/senior strategists, end-to-end budget management, and delivering quality education aligned to business priorities and the broader people strategy.

• Engage Geography stakeholders (Geo General Manager, Operations Leader, Market Leaders Service Line leaders, etc.) as well as peers from within the Geo Talent Supply Chain (HR, Workforce Management, Talent Acquisition) as the "primary face of L&K" to the Geography.

• Team with other L&K roles (Portfolio Leads, Lead Learning Strategists, Delivery Leads, Shared Services Learning Consultants) in our organizational matrix to ensure coordination and alignment.

• Manage the L&K Geography budget, securing initial requirements in the Fall Plan, engaging with Geography leadership and Finance to agree a committed budget, manage budget changes through quarters and ensure the overall program stays within the annual/quarterly budget envelopes - all requiring close coordination with business operations leads as well as the various L&K Portfolio and Shared Services teams.

• Lead the L&K team in the Geography, including L&K Geo Operations/Finance and L&K Market Leaders. They will also serve as in-country managers for Faculty and Event Management support resources who are in the Shared Service teams.

• Oversee annual and quarterly education requirements capture and prioritization, working closely with L&K Portfolio and L&K Shared Services teams.

• Ensure quality education delivery that meets the prioritized Geography requirements and fits within the budget envelope. This will requirement close collaboration with L&K Portfolio and L&K Shared Services teams, who will be responsible for staffing and delivering the education programs.

Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs.

• 10+ years of experience in a services environment, preferably technology consulting. Preference for candidates with both significant client service and learning leadership experience.

• Proven track record executing complex education deployment programs: Conferences, large and medium-sized face-to-face events, connected classrooms, virtual classrooms, self-studies, etc.

• Subject Matter Expertise in applied adult learning theory.

• Proven people and program management skills in complex environments, ensuring successful execution and alignment with organizational goals.

• Deep senior stakeholder management skills and experience.

• Ability to collaborate across a multi-dimensional matrix, working effectively with diverse teams and stakeholders across time zones

• Demonstrated leadership experience in a large-scale corporate education leadership role, including people management (preference in a services environment).

• Proven ability to influence and build effective relationships with senior business leaders.

• Exceptional written and verbal communication skills.

• Experience deploying education solutions in large, complex organizations.

• Substantial experience delivering training (as an instructor).

• Strong organizational skills with the ability to prioritize and manage multiple projects simultaneously.

• Proven experience working in cross-cultural, global, and virtual environments.

• Ability to keep multiple projects moving forward in parallel while maintaining focus on key objectives.

• Familiarity with L&K processes, systems, and tools (preferred).

• Relevant graduate degree preferred.

• Multilingual (Proficiency in Spanish and/or Portuguese valued).

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.