Cooperative Learning Methods Jobs in Usa

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

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Manufacturing Methods Engineer (2nd Shift)

Job Code: 33534

Job Location:Camden, NJ (on-site)

Schedule: 9/80 (every other Friday off)

L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

Job Description:

The Manufacturing Methods Engineer will determine the most efficient and economical method of performing production build and assembly. Review assembly drawings for manufacturability, plan and develop production workflows/ detailed assembly build documentation and adapt or modify existing manufacturing build/assembly documentation to increase efficiency. Provide floor support and on-the-job training to manufacturing assembly operators. Transition new product designs into production. Program and support computer-based production assembly automated equipment. Participate and lead continuous improvement initiatives.

Essential Functions:

• Develop detailed build process documentation from Engineering drawings and schematics.
• Provide direct support to operators during assembly of products.
• Collaborate to solve challenges, reduce defects, and increase efficiency.
• Program automated manufacturing equipment.
• Support new product start-up and readiness process.
• Participate and lead continuous improvement activities.
• Ability to obtain and maintain a security clearance.

Qualifications:

• Experience working with and maintaining SMT equipment and technology.
• Experience programming automated manufacturing equipment.
• Proven ability to read and interpret manufacturing build/assembly drawings.
• Experience with writing detailed manufacturing assembly instructions.
• Minimum two (2) years experience in manufacturing operations environment.
• Proficient with Microsoft Office products (Excel, Word, PowerPoint, Visio, etc.).

Preferred Additional Skills:

• Experience with MYDATA / MYCRONIC Pick & Place Machines.
• IPC-J-STD-001, IPC-A-610, and/or IPC/WHMA-A-620 trained/certified.
• Experience with electronic Product Lifecycle Management (PLM) systems.
• Familiarity with cable & harness assembly and support.
• Basic knowledge of CREO Modeling Software.
• Green-Belt or Lean Six Sigma certified ideal.
• Knowledge of SAP S/4HANA.

In compliance with pay transparency requirements, the salary range for this role is $52,666 - $120,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

#LI-IK1

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

About Covista

Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals—they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education—they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers.

We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.

For more information, visit and follow us on LinkedIn, Instagram and YouTube.

The Quality Assurance (QA)Learning Experience Designer actively engages in the review, design, development, and implementation of learning products (e.g., academic programs and courses, short courses, micro-credentials), working closely with strategic partners and vendors; this includes the quality review of new learning content, as well as the search for suitable existing learning content within Covista's owned content repositories and learning content management systems.

The QA Learning Experience Designer has a working knowledge of digital learning product design and development theories, processes, best practices, and trends, integrating that knowledge to enhance the student learning experience by leveraging contemporary learning design principles, applying flexible approaches, and driving strategic innovation to anticipate, meet, and exceed partner needs.

TheQA Learning Experience Designer manages multiple reviews during different stages of development, each with varying requirements and milestones. The QA Learning Experience Designer works with a range of internal and external academic experts, product development staff, vendors, and institutional representatives to ensure adherence to quality standards,product design decisions, business requirements, and academic expectations.

• Ensures the learning content developed for online/hybrid course delivery is of the highest quality possible and supports student mastery of learning outcomes.
• Ensures learning content adheres to quality standards, program/product design decisions, business requirements, and academic expectations; ensures that relevant internal and partner reviews occur and that feedback/required changes are incorporated.
• Works closely with curriculum authors and subject matter experts to review content, storyboards, and related instructional elements for incorporation into the courses.
• Actively engages in the learning content creation review for multiple delivery contexts, including course-based, competency-based, self-paced, micro-learning and other such contexts to align with partner institution strategies.
• Coordinates and/or participates in program design and development meetings as needed to address marketing research and analysis, regulatory issues, industry trends, competitive landscape, unique differentiators, relevant data, instructional framework options, and core themes and topics for product development.
• Works collaboratively with subject matter experts, academic and business representatives, marketing professionals, educational media specialists, and shared services staff to designreview, develop, and implement learning solutions.
• Actively engages in the learning content creation review for multiple delivery contexts, including course-based, competency-based, self-paced, micro-learning and other such contexts to align with partner institution strategies.
• Coordinates and/or participates in program design and development meetings as needed to address marketing research and analysis, regulatory issues, industry trends, competitive landscape, unique differentiators, relevant data, instructional framework options, and core themes and topics for product development.
• Works collaboratively with subject matter experts, academic and business representatives, marketing professionals, educational media specialists, and shared services staff to designreview, develop, and implement learning solutions.
• Works with little or no supervision on all assigned learning products at the course and program levels.
• Works collaboratively with others to establish project management plans that ensure product review dates are met and ensure appropriate resourcing of all projects; ensures members of the project team are familiar with program design and development design philosophy and project management plans.
• Maintains a working knowledge of learning experience design, online learning, instructional design and technology, adult learning theory, and andragogy/pedagogy to support program and course development.
• Applies research skills to assess current and prospective technologies and innovative products to enhance the student experience in the online classroom.
• Reviews or selects learning resources in collaboration with the academic team, ensuring adherence to business and regulatory requirements, DLS and institution strategies, and works collaboratively with shared services staff to ensure availability of learning resources.
• Designs learner experiences for the integration of text, graphics, animations, videos, and interactions for these offerings; ensures materials follow development objectives/outcomes and exhibit best practices for visual and interaction display to support learning.
• Ensures project timelines are met and deliverables meet quality expectations of the institution.
• Collaborates with key stakeholders to create instructional material in a visually dynamic, engaging, and interactive format, while offering suggestions to enhance student engagement and learning.
• Adapts to rapidly changing project timelines and deliverables.
• Performs other duties as assigned.
• Complies with all policies and standards.
  
  

• Master's Degree Required
• PhD Preferred
• Three (3) plus years of learning experience design work, with specific experience in conceptualizing, designing, and creating learning experiences for adult learners a plus.
• Experience working with third-party vendors and independent contractors.
• Experience managing budgets and ensuring adherence to budget limitations.
• Experience working with higher education professionals.
• Expertise in at least one of the following: instructional design, instructional technology, contemporary theories and methods of learning experience creation, learning management systems, learning content management systems, application of technological innovations to enhance learning and mastery of outcomes.
• Experience developing with tools such as Adobe Captivate and Articulate Storyline/Studio a plus.
• Successful experience in relationship management across a range of partners.
• Be able to evaluate vendor, contractor, and SME contributions to ensure all learning products meet and/or exceed Covista standards of excellence.
• Be a skilled communicator and collaborator, able to handle criticism, actively participate in design meetings, and deliver highly engaging learning assets.
• Possess a working knowledge of contemporary and innovative principles of instructional design, curriculum development, and educational technology.
• Possess solid written and verbal communication skills.
• Have strong knowledge of Microsoft Office suite.
• Be committed to results and consistently demonstrate accountability in all areas of responsibility.
• Possess strong organizational skills and have a history of positive results achieved collaboratively.
  
  

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $61,720.78 and $108,334.92. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Covista offers a robust suite of benefits including:

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Covista's Flexible Time Off (FTO) Policy
• 12 Paid Holidays
  
  For more information related to our benefits please visit: are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation

About Pinterest:

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

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

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

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

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

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

What you'll do:

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

What we're looking for:

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

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

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

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

Our Commitment to Inclusion:

Open date: February 25, 2026

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

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

Final date: Friday, Mar 27, 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 two Project Scientists 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 project scientist will make significant and creative contributions in the area of machine learning & data analytics.

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.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

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

*General organization and management of software documentation.

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

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*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++, Labview, MATLAB, Python

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

*Experience with professional speaking engagements

*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

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

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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

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

Warehouse Learning & Development Manager

Job Overview:

The Learning &Development Manager is responsible for developing and managing training programs aimed at enhancing the skills and performance of the operations team. This role ensures that employees are well-equipped with the knowledge necessary to meet the company’s operational standards. The ideal candidate will have a solid background in operations and a strong ability to create effective, engaging training content.

Essential Responsibilities:

• Design and implement training programs/modules focused on operational excellence, safety, and compliance.

• Conduct training needs assessments to identify skill gaps and areas for improvement within the operations team.

• Collaborate with department managers to create tailored training solutions that align with operational goals.

• Evaluate the effectiveness of training programs through feedback, testing, and performance metrics; adjust programs as needed.

• Stay current with industry best practices, tools, and technologies related to operations training.

• Ensure all training content and methods comply with company policies and industry regulations.

• Maintain and update training materials, manuals, and documentation to reflect changes in processes and procedures.

• Manage training schedules and logistics, ensuring that training sessions are delivered efficiently with minimal disruption to daily operations.

• Monitor the progress of trainees and provide ongoing support and feedback to ensure skill retention and application.

• Use data analysis to assess the impact of training on operational performance and make data-driven decisions for future training initiatives.

Additional Responsibilities:

• As assigned by Manager

Specific Knowledge, Skills and Abilities:

• Demonstrated ability to develop and deliver effective training programs.

• Strong understanding of operational processes and best practices.

• Excellent communication and presentation skills.

• Ability to work collaboratively with various teams to meet training objectives.

• Analytical skills to evaluate training effectiveness and improve training programs.

Preferred Education, Experience and Licenses:

• Bachelor’s degree in Business Administration, Operations Management, Education, or a related field

• 5+ years of experience in Operations, with a strong focus on training and development

Job Description:

• Utilize Catia V5 to design & draft tooling solutions to support aircraft modification and instrumentation installation.

• Ensure all designs, data, and documentation adheres to ITAR, DOD, and program specific security requirements.

• Collaborate with flight test engineers, stress, and mechanics to create functional, safe, and reliable tooling.

• Provide on-site technical support during aircraft modification.

• Coordinate with suppliers, internal shops, & customers to ensure manufacturability and rapid turnaround of complex tooling.

• Create laser tracker support models and instructions for locating critical parts within the aircraft reference system per interface control documentation (ICD) and internal/external conformance.

• Own and manage tooling schedules, balancing multiple priorities to ensure on time delivery of design packages within the forecasted budget.

• Create a variety of tool types such as Floor Assembly Jigs, Drill Jigs, Holding Fixtures, Overhead Mechanical Equipment, Shipping Fixtures, Weld Jigs, Contour Templates, Scaffolding etc.

• Build BOM’s and coordinate with Material Logistics for the ordering of tooling raw materials and components.

• Provide estimates for the Bids & Proposals team for internal & external tooling.

• Support the Methods team with assembly build sequencing.

• Create visual work instructions to showcase how tooling aligns with project objectives.

• Create formal documents (TCM’s) to resolve technical issues or questions regarding tooling.

• Analysis of tolerances from Laser Shoot & CMM inspections.

Requirements:

• 10 years supporting major aerospace and defense programs through the design and delivery of complex assembly tooling, jigs, fixtures, and mechanical systems (preferred)

• Proficient in Catia V5 & Enovia.

• Experience with NX & Teamcenter.

• Proficient in Word, Excel, & PowerPoint.

• Proficient in GD&T driven precision design.

• Knowledge of aircraft shoring practices.

• Knowledge of traditional tooling practices.

• Knowledge of traditional & NC machining practices & processes.

• Knowledge of safe working practices.

• Knowledge of 3D Printing.

• Good written and oral communication.