Cooperative Learning Techniques Jobs in Usa

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  Curriculum Vitae - Your most recently updated C.V.
  
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  Cover Letter (Optional)
  
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  Statement of Research - Statement of Research and Extension
  Please submit a 2-page Statement of Research and Extension Interests including how your current and/or past research and extension experience could contribute to, or be applicable to, the needs of the local community. Provide examples of potential goals and outcomes from your research and extension activities.
  
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  References - Please provide 3 references: names, titles and contact information.
  
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  College Level Transcripts - Electronic transcripts or legible scanned copies (PDF) of original transcripts will be accepted. Transcripts must identify course work completed, grades earned, degrees conferred and confer dates. Please DO NOT send transcripts that are password protected.
  

• 3-5 required (contact information only)

Senior Condominium / Cooperative Attorney – Governance & Board Counsel

New York, NY · Hybrid

A well-established NYC real estate boutique is adding a senior condominium / cooperative attorney to serve as trusted outside counsel to a sophisticated portfolio of long-tenured boards.

This is a leadership-level role for an attorney who already advises boards and wants to operate within a deep, stable platform with consistent client demand and meaningful influence in governance strategy.

Attorneys in this group typically manage established board relationships rather than building a practice from scratch.

Compensation is typically in the $250K–$310K range, depending on experience, with bonus opportunity and origination credit. Billable expectations are consistent with a sustainable senior practice focused on long-term board relationships rather than high-volume transaction work.

The position offers direct boardroom exposure, strong internal support, and long-term growth within a highly regarded condo/co-op practice.

This search is actively moving toward initial conversations.

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

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

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UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

About Pinterest:

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

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

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

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

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:

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• 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:

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• 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:

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• 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:

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• 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:

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We are seeking a credentialed actuary to join our Property Loss Reserving and Reserving Development team.  This Actuary will leverage advanced knowledge of Loss Reserving techniques and Claims Analytics insights to explain drivers of loss trends.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX.  Relocation assistance is available for this position.

What you'll do:

• Applies advanced actuarial knowledge to complete broad and complex projects (e.g., evaluates and selects methodology to price new discount/endorsement for countrywide rollout; develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed.
• Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Leads special actuarial projects, such as the development of new methodologies or reporting tools.
• Trains new team members on the theory and mechanics of relevant actuarial methodologies.
• Applies deep understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identifies and anticipates compliance gaps and process improvements; recommends and develops solutions to mitigate risk.
• Represents Actuary in cross-functional efforts.
• Develops written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership. 
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of Actuarial or analytical business experience.
• Associate of the Casualty Actuarial Society (ACAS) Credential.
• Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership.

What sets you apart:

• Experience performing Loss Reserve analysis and working in Loss Reserving software (i.e. ResQ, Arius etc.).
• US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $127,310 - $229,160.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Unit Description:
The Skilled Nursing Facility (SNF) at Champlain Valley Physicians Hospital is located on our 5th floor and accommodates 34 residents. Our facility serves a diverse range of patients, spanning from middle-aged adults to geriatric residents. We maintain a balance between long-term care and subacute care, striving for a ratio of 14 short-stay patients to 20 long-term residents. Our short-stay patients typically stay with us for 1 to 6 weeks on average, receiving specialized care for conditions such as sepsis, post-orthopedic surgery recovery, and wound care. For our subacute population, we provide a spectrum of skilled nursing and therapy services, including wound care with advanced techniques like wound vacuums, antibiotic therapy, and comprehensive physical, occupational, and speech therapy. Our long-term residents exhibit a wide range of needs, from those requiring minimal assistance with daily activities to others who rely completely on our care and support. Working with us offers a unique experience where healthcare professionals form meaningful relationships with patients. It also provides opportunities to enhance medical-surgical skills and actively contribute to discharge planning processes to ensure successful transitions for our short-term patients returning home. We are dedicated to delivering compassionate, individualized care while supporting residents in achieving their highest level of health and independence.

BLS or ACLS required with ACLS certification must be achieved within 6 months of hire.

One year of nursing experience is preferred but not required.

Per the Collective Bargaining Agreement, current bargaining unit employees have priority consideration for this position if they apply within seven (7) days of the posting date. We are past this period now and all applicants will be considered equally.

This Category C part-time position is eligible for benefits and will be scheduled to work 40-56 hours per 2-week pay period with every-other weekend.

Requirements:

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• Current RN licensure recognized by the State of New York required.
  
• Appropriate experience in specific clinical area. Varies by unit.
  

Our Total Rewards Package includes:

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• Health Care (Medical, Dental, Vision)
  
• Flexible Spending Account
  
• Retirement Benefits (403b)
  
• Insurance Benefits (Life, Long-Term, Short-Term)
  
• Paid time Time Off
  

Joining our team has its perks:

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• We encourage professional growth and development
  
• We ensure our nurses are truly happy and feel valued
  
• We offer structured preceptorships and continuing education
  
• We are committed to great patient ratios
  
• Our team culture is unlike what you'll find at other hospitals
  
• We've made significant investments in safe patient handling and mobility equipment
  
• Nurses truly have a voice here through our shared governance
  

About the Area:

The Champlain Valley is characterized by its working landscapes; undulating hills, meadows and pastures rolling down to the waters of giant Lake Champlain, the largest lake in the U.S. behind the Great Lakes. Plattsburgh, a picturesque community of 38,000, offers a cost of living just below the national average. The perfect place to raise a family, the area features excellent schools both public and private. The State University of New York also has a branch here with 6,200 students boasting a large international population and solid nursing program. Site Selection Magazine has chosen Plattsburgh as a top city in the nation for business development for the past eight years.

In addition, Policom Corp has ranked Plattsburgh as the top micropolitan in New York and the 27th in the nation. As far as recreational opportunities, Plattsburgh and the Champlain Valley offer incredible year-round activities. From boating, biking, and fishing in the summer, to skiing and ice skating in the winter months. Nearby Lake Placid, host of the 1980 Winter Olympics and 2023 FISU World University Games, is a hub for recreation. The historic Strand Theater serves as the anchor of downtown Plattsburgh, and dozens of museums and historic attractions share the region's rich history.

With exciting relocation and signing incentives and assistance, moving to upstate New York has never been an easier decision.

We’re looking for a dynamic Learning & Development Solutions Consultant who is passionate about building impactful learning experiences and scaling development across the enterprise. In this role, you’ll help design, coordinate, and deliver innovative learning initiatives that empower employees and leaders to do their best work.

A key focus of this role is serving as our Workday Learning (LMS) strategist and administrator—leveraging the platform’s current capabilities while helping evolve how we deploy, track, and measure learning across the organization. You’ll collaborate closely with HR, business leaders, and external learning partners to deliver engaging, scalable solutions that support a growing global workforce.

If you love combining learning strategy, technology, analytics, and program execution, this is a unique opportunity to make a meaningful impact on how learning happens across the company.

What You’ll Do

Workday Learning Strategy & Administration

• Serve as the primary administrator for Workday Learning (LMS) including content uploads, campaigns, content reviews, and ongoing system optimization.
• Partner with the L&D leader and HRIS team to evolve our learning technology strategy and expand how we use Workday to support enterprise learning initiatives.
• Maintain onboarding planners and learning pathways supporting the expansion of global onboarding programs.

Learning Platforms & Insights

• Monitor engagement and usage metrics for LinkedIn Learning and other learning platforms.
• Develop reporting and insights that highlight learning engagement, adoption, and program effectiveness.
• Support internal communications that promote learning resources and development opportunities.

Learning Vendor Partnerships

• Manage relationships with external learning vendors including scheduling, program coordination, and oversight.
• Help evaluate vendor effectiveness and the overall impact of learning programs.
• Coordinate logistics and communications for vendor-led learning experiences.

Manager & Leadership Development

• Coordinate scheduling and program logistics for manager training programs.
• Partner with internal stakeholders to support the delivery of leadership and manager capability initiatives.
• Ensure seamless operational execution of training across business groups.

Global Onboarding Programs

• Support the growth of CAA Welcome and CAA Go! global onboarding initiatives.
• Coordinate onboarding learning experiences and maintain onboarding resources and materials.
• Ensure onboarding programs align with our broader enterprise learning strategy.

Performance Management Learning

• Design and facilitate training related to performance management processes.
• Create practical learning materials including one-pagers, quick reference guides (QRGs), job aids, and forms.

Learning Program Support

• Provide operational support for learning initiatives including facilitation, scheduling, and coordination.
• Partner across the organization to support additional learning needs as they arise.

What You Bring

• Bachelor’s degree in Human Resources, Organizational Development, Education, Business, or a related field.
• 5–8+ years of experience in Learning & Development, Talent Development, or HR program management.
• Strong experience working with Learning Management Systems, with deep knowledge of Workday Learning.
• Proven experience coordinating training programs, vendors, and facilitation logistics.
• Excellent organizational, project management, and stakeholder management skills.
• A passion for building scalable learning experiences that drive real business impact.

Benefits:

Benefits include medical, dental, vision, additional voluntary benefits, 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.

Equal Opportunity Employer/Veterans/Disabled

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