Cooperative Learning Methods 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.

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:

Under limited to moderate supervision, provides technical solutions to faculty, staff, and students for all aspects of classroom Academic Technologies, including but not limited to displays, complex audio and control systems, and lecture capture software. Significant focus on IP based network audio and visual (AVOIP) academic technology primarily comprised of Extron, QSC, and Dante environments. Ability to work independently as a subject matter expert with an emphasis on learning new skills through training and certifications.

All work and results are documented within a ticketing application. Learning Environments specialists are dispatched to provide hands-on support when a remote solution is not available. Must be able to work within an ITIL, metrics driven environment. All work is guided by the published ITIL Service Operations Framework. Each individual is expected to coordinate with our Service Desk and Mobile Action teams to deliver fully comprehensive support. Must be capable of remote, phone, and chat support, as well as on-site visits and working a service counter. All IT Support Specialists work in a 0-3 Tiered support environment. Any specialist may be required to work in any of the four tiers as needed.

IT Support Specialists (ITSS) are expected to understand and follow consistent defined processes for all service interactions, while observing established standards. The ITSS focuses on continual improvement of their own skills as well as the documented service and troubleshooting processes used by the myIT division.

Hours of operation will vary with season and semester schedule and may include limited nights and/or weekend work.

• 
  
• At all times employees are expected to uphold Creighton's core values and demonstrate commitment to valuing diversity and contributing to an inclusive working and learning environment, while adhering to all University Ethical Standards of Conduct, rules, regulations, and job requirements, including required educational trainings.
  
• Assists users, via on-site visits and/or remote tools, in troubleshooting and resolving hardware and software issues related to classroom and conference room technologies. This includes but is not limited to AV hardware and computer software. Solves moderately complex problems and may coordinate required effort from multiple support groups, including outside vendors.
  
• Basic operational support and team awareness. All workflow and results are documented in a ticketing application. Process and knowledge documentation via Knowledge Base Articles. Communication amongst team members for purposes of cross training.
  
• Preventative maintenance and testing of high-impact classrooms and conference rooms to maintain peak functionality and minimize impact to end-users.
  
• Continuous pursuit of training and certifications relative to existing AV environment and industry changes.
  
• Team meetings and other duties as assigned.
  
• Training of end-users on basic functionality of AV hardware and lecture capture software in classroom and conference room spaces.
  

Qualifications:

• 
  
• Bachelor's degree in related area and/or equivalent technical certification and experience desired.
  
• Minimum of 2 years combined experience in one or more of the following:
  
• Basic understanding of TCP/IP function, network topologies, and related technology
  
• Supporting classroom A/V technology including:
  
  • 
    
  • Qsys AV cores, peripherals, and designs
    
  • Extron NAV including encoders and decoders
    
  • Dante monitoring and source routing
    
  • Hardware such as monitors, speakers, and cabling.
    
  
  
• Windows and Apple environment experience required.
  

Knowledge, Skills, and Abilities:

• 
  
• Experience with video conferencing such as Zoom, Teams, and/or Webex.
  
• Basic understanding of AV signal flow.
  
• Basic ability to read AV room diagrams
  
• Comfortable with technical training for a small to medium 2-20 person group.
  
• Experience creating technical documentation.
  
• Proven ability to work with a team to deliver value based solutions to partners.
  
• Strong interest in in learning about AVoIP and Audio Vistual technology.
  
• Proficient in Microsoft Office applications;
  
• Accountable
  
• Adaptable
  
• Collaborative and teamwork-oriented
  
• Customer relationship manager
  
• Innovative and creative thinker
  
• Mission and service-oriented
  
• Openness (zest) for learning
  
• Results-oriented
  
• Excellent communication skills
  
• Professional phone etiquette
  
• Self-starter
  
• Detail-oriented
  
• Dependable
  

Licenses/Certifications:

Avixa CTS, Extron ECS, Extron NAVS, Q-Sys Design Level 1, or equivalent documented experience working with these technologies preferred.

Must have a current and valid driver's license with a clean driving record for the last 3 years and no major violations within the last 5 years;

ITIL Foundations Certification or pass within first 6 months of employment

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.

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:

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

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

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA