Manifold Learning Algorithms 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.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

With more than 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:

Immediate positions available to work with children with autism spectrum disorder and their families!

• $20.00 - $24.50 / hour
• Earn an additional $2.00 /hour (premium pay) for weekends and holidays
• Increase for RBT certification
• Paid drive time / mileage reimbursement
• 401(k) plus company match
• Paid time off earned for every hour worked!
• Paid training

• LAUNCH career path - clear milestones with rewards including bonuses and promotions
• Referral bonus program
• Free continuing education opportunities
• Free CPR and safety training
• Employee assistance program including free financial advice, free counseling support, mental health resources
• Virtual office connection to hundreds of colleagues nationwide, and fun local events with colleagues in your area
• Learn transferable skills which open the door to great careers in behavior health

• Teach kids while playing, and following a treatment plan specific to that child
• Observe, play and collect data so you can write a progress note
• Help kids learn essential life skills such as motor skills, social skills, emotional skills and more
• Work on goals with child that help shape challenging behaviors into communication skills
• Make a difference in the life of a child!

• Paid prior experience working with kids (i.e. Camp counselor, daycare, nanny, school setting, ABA, etc) preferred
• Lots of energy, playful, creative, able to think on your feet
• Dependable - someone your client and their family can count on
• Ability to constantly get up and down off floor, move quickly
• Tech savviness - comfortable learning our data collection software and using Microsoft Office 365 (Excel, Outlook, Teams)
• Desire to learn, work independently, and provide the best quality care to our clients
• Interested in working with evidence-based methods based in science and proven effective

Who We Are

• Its in the wow moments that we find our purpose at ABS Kids. Our shared experiences are the milestones that influence our work. The mission of our work with children with autism and their families feeds our spirit. With every wow moment, we can see our impact grow.
• At ABS Kids we are empowered by the breadth of our differences. Our mission is to create a culture where all people thrive because their diverse stories are heard and celebrated. We commit to an evolving understanding of diversity as we learn from one another.
• We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

CA Job Applicant Privacy Notice

IBTI

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 is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.

What you will do:

• 
  
• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  
• Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  
• Foster a collaborative, inclusive, and high-performing team culture.
  
  

What we're looking for:

• 
  
• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  
• 2+ years of people management experience leading engineering teams.
  
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
  

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-AK7
#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.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

• 
  
• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  
• Deeply understand the Pinterest search product, and drive the vision for the team.
  
• Provide visibility for senior leadership into the team's global impact.
  
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  
• Mentor and grow managers, leaders and engineers on the team.
  
• Build a culture of excellence and expertise.
  

What we are looking for:

• 
  
• Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  
• A knack for product and impact on users of a consumer product.
  
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  
• Bachelors degree in computer science or related technical field, or equivalent experience
  

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.
  

Relocation Statement:

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

#LI-REMOTE

#LI-DM57

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work experience.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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

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

Our Commitment to Inclusion:

The Learning And Development Representative will assume, but not be limited to, the following responsibilities:

• Conducts new employee onboarding sessions, including use of computers and software applications.
• Assists in designing training manuals and related materials, training classes, and training procedures.
• Assists with the facilitation of training sessions and developmental programs to help credit union personnel become proficient and knowledgeable.
• Tracks the progress of employee training through routine tests, observation, and feedback from leaders.
• Assists with creating relevant surveys that help evaluate the effectiveness of training. Gathers and monitors participants' feedback while evaluating the effectiveness of training format and content.
• Maintain and manage the Learning Management System (LMS).

The successful candidate will possess the following education, knowledge and skillsets:

• Two-year college degree, or completion of a specialized certification preferred.
• One to two years of related experience in an organizational development, training, or teaching environment.
• One to two years of experience in the finance industry, especially in the areas of branch operations, member service, and sales.
• Excellent communications skills with demonstrated ability to correspond with all levels of staff, members, and general public.
• Knowledge of training systems, methods, and resources including Computer Based Training, eLearning, classroom training, self-study, and small/large group training.

We provide competitive compensation and benefits package that includes:

• Medical, dental, and vision insurance
• Life insurance
• 401k Retirement Plan (matching contribution=5%, immediate vesting)
• Paid Time Off (PTO)
• Paid Holidays
• Educational Reimbursement (for employees)

Actual compensation is determined based on experience, education, skills, internal equity, and other job-related factors.

EOE

Job Summary

The Learning and Development (L&D) Manager will be responsible for the end-to-end growth of our workforce. You will development, design and execute training programs for supervisors and managers while spearheading our succession planning initiatives across companies and multiple locations. Your goal is to ensure our leadership pipeline is robust, diverse, and prepared to meet future business challenges.

Report To: Director of HR NA

Status: Full Time Salaried Except Employee

Key Responsibilities

1. Leadership & Management Development

• Skills Gap Analysis: Initial comprehensive assessment of development needs to determine a course of action need to fill any gaps.Then conduct regular assessments to continuously identify where supervisors and individuals need the most support.
• Curriculum Design: Create and deliver training modules for new and experienced supervisors and managers (e.g., emotional intelligence, strategic thinking, and performance management). These are to be high-quality, engaging, and relevant training programs, modules, and materials (e.g., presentations, handbooks, e-learning modules, job aids) in which you are using subject matter experts (SMEs) to ensure accuracy, compliance, and relevance of training content.
• Coaching: Provide 1-on-1 performance coaching to those that are chosen to be developed for the next opportunity within the company. From an entry level employee moving to a lead position to a mid-level managers to help them transition into senior roles.

2. Succession Planning & Talent Pipeline

• High-Potential (HiPo) Identification: Develop criteria to identify employees with the potential to move into key leadership positions.
• Career Mapping: Work with individuals to create personalized Individual Development Plans (IDPs) that align with company growth.
• Risk Mitigation: Identify "critical roles" within the organization and ensure at least two internal successors are being developed for each.

3. Program Evaluation & ROI

• Measurement: Use one of many models to evaluate the effectiveness of training (Reaction, Learning, Behavior, and Results).
• Reporting: Present data to executive leadership regarding "bench strength" and the progress of internal promotions as well as data for the evaluation model.
• Vendor Management: Select and manage training providers and external consultants to ensure high-quality delivery.

4. Stakeholder Collaboration

• Collaborate: Partner closely with other facilitators, HQ teams, HUB management, Local HR, and other departments to align training initiatives with business objectives and address specific challenges to ensure alignment and effective execution.
• Key Liaison: Serve as a key liaison between HQ and local entities within the region on matters related to people development and training across all employee levels ensuring alignment and consistency in direction and objectives

Who Are We:

Bitzer Us Inc. is a leading manufacturer of key components used in commercial and industrial refrigeration and air conditioning systems. These key components include compressors, pressure vessels such as condensers and evaporators, compressor packages, and condensing units. Other products include waste heat-to-power equipment that converts excess heat to low-cost electricity.

You will work within the North American HUB which is made up of 4 companies all in commercial and industrial refrigeration and air conditioning systems industry with their primary locations being in Flowery Branch, GA and Syracuse, NY with around 450 employees. You will partner with others within the HUB and with internal and external SMEs to get work done while gaining insight into employees’ needs and deliver solutions that exceed expectations.

You will work out of BITZER US which is conveniently located in Flowery Branch, Georgia 5 minutes off I-985 and will need to be willing to travel. The Company is wholly owned by Bitzer SE (located in Germany), the Company is a private company.

Competencies (Knowledge, Skills & Abilities):

• Instructional Design & Facilitation: In-depth understanding of adult learning principles and ability to design and deliver impactful, learner-centered programs.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present complex topics clearly to diverse audiences
• Strategic HR Acumen: Strong understanding of HR best practices, labor law, and organizational development frameworks.
• Project Management: Ability to manage multiple development projects with efficiency, accuracy, and stakeholder involvement.
• Analytical Thinking: Skilled in using data to assess training needs and outcomes and make informed decisions.
• Cultural Agility & Change Leadership: Ability to work across cultures and lead change with resilience, vision, and empathy.

Required Qualifications & Skills

• Experience: 5+ years in L&D, Talent Management, or HR, with a specific focus on leadership training.
• Strategic Thinking: Ability to see how a training session today impacts the company’s leadership structure three years from now.
• Communication: Exceptional facilitation and public speaking skills; able to command a room of senior executives.
• Tech Savvy: Proficiency with Learning Management Systems (LMS) and talent tracking software.

Work Environment:

• Corporate and training facility environments with frequent collaboration across global and regional teams.
• Occasional travel within the designated region mostly to Syracuse NY for training delivery and stakeholder meetings and maybe yearly to Germany.
• May require work outside standard hours during peak project periods.

Physical Demands:

• Ability to sit or stand for prolonged periods while delivering training.
• Must be able to lift training materials or equipment up to 25 lbs. occasionally.
• Frequent use of a computer and presentation tools.

Employee Benefits:

• Medical Insurance (heavily subsidized by the Company)
• Dental Insurance
• Company paid Vision Insurance, $50,000 life insurance and Short and Long-Term Disability
• 3 Weeks Paid Vacation
• 401(k) Plan where it matches dollar-for-dollar up to 4% of compensation; 100% vested immediately.
• Company Discretionary Profit-Sharing Contribution based on the profitability of the Company; 100% vested after 6 years on a graded scale

Other Information

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.Employees are required to follow any job-related instructions and to perform job-related duties requested by management. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skills, and/or abilities required.

This Job Description does not imply an employment contract. BITZER US is an at-will employer.

BITZER US is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, sexual orientation, gender identity or expression, genetics, status as a protected veteran, or any other characteristics protected by law.

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.
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