Hebrew Language Learning Jobs in Usa

7,916 positions found — Page 13

Assistant/Associate/Full Researcher - Machine Learning Models - AdvancedBioimaging Center - Department of Molecular and Cell Biology
Salary not disclosed
Berkeley, CA 4 days ago
Position overview

Position title:
Assistant/Associate/Full Researcher

Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $199,700- $357,200.

Percent time:
100%

Anticipated start:
Winter/Spring 2026

Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.

Application Window


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.



Position description

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:



Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree)



Additional qualifications (required at time of start)

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.



Preferred qualifications

*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.



Application Requirements

Document requirements

  • 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.




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05214

Help contact:



About UC Berkeley

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


Job location
Berkeley, CA
permanent
IT Support Specialist - Learning Environments
Salary not disclosed
Omaha, NE 4 days ago

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

Not Specified
Engineering Manager II, Machine Learning - User Understanding
Salary not disclosed
San Francisco, CA 3 days ago

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.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Coordinator Clinical Learning Operations - Clinical Education
Salary not disclosed
Libuse, Louisiana 2 days ago
Description

Summary:

The Clinical Learning Operations Coordinator supports the delivery, management, and administration of clinical education programs. This role applies technical expertise to support digital learning, the hands-on capacity to support in-person learning events, and the organizational skills to support the administrative and logistical aspects of an education team. The Coordinator ensures that educational activities are well-organized, compliant with regulatory agencies, accessible, and aligned with clinical staff development goals.

Responsibilities:

- Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.

Digital Learning Support

- Collaborates with system and ministry leaders to ensure the right courses are assigned to the right audience, and additional course activities are vetted and created as part of the system's standardized approach.
- Manages local user enrollment, troubleshooting, and reporting.
- Tracks learner progress, generates compliance reports, and provides analytics to leadership
- Supports faculty and staff with LMS usage, including uploading materials, managing virtual classrooms, and resolving technical issues.
- Fields local requests for new or existing content to be added to the LMS, including collaboration on new content creation based on need and approval.
- In collaboration with leadership, ensures LMS content meets accreditation, regulatory, and organizational standards.
- Facilitates the placement of in-person courses onto the digital learning management system (i.e., Transcripts, Course shells).

Learning Program Support

- Assists with planning, scheduling, and coordinating in-person (non-digital) clinical education programs, courses, workshops, and events.
- Prepares learning materials, rosters, evaluations, and certificates.
- Provides onsite or virtual support during training sessions (attendance tracking, technical setup, materials distribution).
- Collects and analyzes participant feedback to support program improvement.
- Supports in-person delivery of education as needed through the use of technology, quizzing tools, or other teaching adjuncts.

Administrative Support

- Serves as a point of ministry contact for learners, educators, and stakeholders regarding educational logistics.
- Maintains accurate documentation, records, and databases related to continuing education, workshops, and professional development initiatives.
- Provides logistical support such as ordering food, supplies, and room reservations for in-person workshops and courses.
- Support budget tracking, invoices, and vendor coordination as needed.
- Contributes to the streamlining of processes to improve efficiency in clinical education operations.
- Responsible for other related duties as assigned.

Job Requirements:

Education/Skills

- High school diploma or equivalent experience is required
- Strong technical skills with Microsoft Office Suite, virtual platforms (Zoom, Teams, WebEx), and database management required
- Excellent communication, organizational, and customer service skills required
- Adaptability and willingness to learn new technologies and systems required

Experience

- 2 - 4 years of experience in education administration, training coordination, or healthcare operations preferred
- Experience with Learning Management Systems (e.g., HealthStream, Cornerstone, Docebo, etc.) or equivalent experience required
- Ability to manage multiple priorities in a fast-paced, clinical education environment is required
- Attention to detail and accuracy in managing data required
- Strong problem-solving and troubleshooting abilities required
- Collaborative team player with a service-oriented mindset required

Licenses, Registrations, or Certifications

- None required

In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.

Work Schedule:

5 Days - 8 Hours

Work Type:

Full Time
Not Specified
Trainer (Learning And Development Specialist)
✦ New
Salary not disclosed

Trainer 2 (Learning & Development (L&D) Generalist)

Englewood Cliffs, NJ(Fully onsite)

12 months


Position Summary

  • We are seeking a Learning and Development (L&D) Generalist to support the L&D team in designing, implementing, and managing learning programs with a focus on L&D program development, leadership development, and project management. The ideal candidate is a self-starter, fast learner, and customer-focused professional with strong analytical, project management, and troubleshooting skills. This role will collaborate with L&D Program Managers, Training Facilitators, the Instructional Design Team, and various HR teams to ensure the success of learning initiatives.

Roles & Responsibilities

L&D/Leadership Development Program Creation:

  • Design and implement learning programs aligned with organizational goals, including leadership development initiatives.
  • Analyze surveys/training needs analysis to identify skill gaps and recommend solutions.
  • Develop and maintain L&D dashboards to visualize program metrics effectively.
  • Facilitate training sessions as needed.
  • Instructional Design of program material.

Project Management:

  • Develop and manage project timelines, calendars, and communication plans for L&D initiatives, program operational/administrative support.
  • Create/update training materials (presentations, guides, eLearning modules)
  • Track progress against KPIs and ensure alignment with program goals.

LMS Management:

  • Manage LMS platforms (e.g., Cornerstone OnDemand) for course uploads, reporting, and learner assignments.
  • Ensure accuracy of training records and generate completion reports.

Vendor Management:

  • Coordinate with external vendors to integrate services into L&D programs seamlessly.

Metrics & Analytics:

  • Develop scorecards and quarterly summaries to measure program impact.
  • Analyze feedback to refine and improve learning initiatives.

Minimum Qualifications

  • Bachelor's degree in Learning & Development, Human Resources, or a related field.
  • 2–4 years of experience in Learning & Development with project coordination experience.
  • Proficiency in MS Office (especially Excel), Instructional Design, and experience with LMS platforms (e.g., Cornerstone OnDemand).
  • Strong project management skills with the ability to manage timelines and deliverables.

Preferred Qualifications

  • Experience with Tableau or similar analytics tools.
  • Familiarity with leadership development frameworks and methodologies.
  • Experience in creating eLearning modules or training materials

Education and Years of Experience:

  • Bachelor's degree in Learning & Development, Human Resources, or a related field.
  • 2–4 years of experience in Learning & Development with project coordination experience.

Top Skills:

  • L&D Program Development
  • Leadership Development
  • Project Management
Not Specified
Learning Management Systems Specialist
🏢 Nouria
Salary not disclosed
Worcester, MA 5 days ago

The Learning Management System (LMS) Specialist plays a critical role within our Learning Ecosystem, partnering closely with HR and with Team Members across the organization. This role reports to the Senior Manager, Curriculum.

In this position, you will own the tasks and activities related to Workday Learning, including building courses, learning paths, and programs. Also, maintaining regular assignments and working with HR technology to build easy-to-use reporting for key training metrics and measures. This role will also work with our content vendors, troubleshoot issues or concerns, and build relationships with our account management team.

Responsibilities:

  • Administer and maintain the LMS, including audience management, course setup, and content uploads.
  • Troubleshoot technical issues and provide support to users, including assisting Nouria Team Members with LMS navigation and functionality.
  • Collaborate with instructional designers and content creators to develop and implement online courses and assessments.
  • Ensure course materials are updated and aligned with educational and quality standards.
  • Monitor and analyze LMS data, including user engagement and course completion rates.
  • Generate reports for stakeholders to inform instructional improvements and decision-making.
  • Stay updated on industry trends and best practices in LMS management.
  • Recommend enhancements to improve user experience and system functionality.

Qualifications and Skills:

  • College degree or equivalent experience required
  • Proven experience as an LMS Administrator, familiarity with various LMS platforms (Workday Learning is a strongly preferred).
  • Strong technical skills, including troubleshooting and problem-solving.
  • Experience using industry‑standard assessment tools (strongly preferred).
  • Demonstrated ability to design and develop learning content tailored to specific roles and audiences with exceptional attention to detail.
  • Proficiency with the ADDIE model from analysis through evaluation.
  • Ability to synthesize complex information and stakeholder feedback into clear, accessible learning materials.
  • Proven ability to build strong relationships and influence across functions and all organizational levels.
  • Strong strategic thinking skills with the ability to translate ideas into actionable solutions.
  • Exercises sound judgment and comfortably challenges assumptions to drive improvement.
  • Skilled in root‑cause analysis, solution development, and data‑informed decision-making.
  • Excellent project and time management skills, with the ability to manage multiple priorities independently.
  • Proficient with various technology systems and able to learn new tools quickly.
  • Demonstrates openness to feedback and a commitment to continuous personal and professional growth
Not Specified
Behavior Technician - Learn & Grow with Paid Certification
Salary not disclosed

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


At ABS Kids we find our purpose in the wow moments our clients experience each day, learning new skills and reaching new goals. Join us as a Behavior Technician and discover wow for yourself in your career path. #WorkInWow
Benefits and Compensation:
  • $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

We also support you with:
  • 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

What You Will Do:
  • 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!

Skills and Qualities We Are Looking For:
  • 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

Not Specified
Staff Machine Learning Engineer
✦ New
Salary not disclosed
San Mateo, CA 1 day ago

Location: San Mateo, CA (hybrid 2 days onsite a week)


AI System Development

  • Search & Recommendation Systems: Lead the design and implementation of advanced Search, Ranking, and Recommendation systems to help customers navigate millions of technical products.
  • Doc Extraction & NLP: Develop high-precision NLP and document extraction pipelines to digitize and structure complex construction data from unstructured sources.
  • Advanced Architecture: Research and implement novel deep learning architectures, focusing on hybrid retrieval models and fine-tuned LLMs.
  • Production Deployment: Develop, train, and deploy deep learning and machine learning models that are scalable, extensible, and integrated into production environments.
  • Agentic Workflows: Architect autonomous or semi-autonomous agents that can plan and execute multi-step discovery tasks.

Full Product Lifecycle Participation

  • Technical Leadership: Collaborate with product managers and UX designers to integrate AI components into fully functional systems, providing technical guidance on feasibility and architecture.
  • End-to-End Ownership: Participate in the complete product lifecycle—from concept design to development, integration, testing, and deployment.

Scalable Solutions

  • High-Volume Data: Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.
  • Pipeline Design: Design complete end-to-end data and ML pipelines, ensuring seamless integration and monitoring in production.

Research & Collaboration

  • R&D Initiatives: Work closely with the leadership team on research efforts to explore cutting-edge technologies, such as vector databases and embedding-based retrieval.
  • Excellence Standards: Uphold a culture of engineering excellence by maintaining high standards in code quality, documentation, and innovation


Minimum Qualifications

  • Education: Bachelor’s or Master’s degree (PhD preferred) in Science or Engineering with strong programming and analytical skills.
  • ML Expertise: Strong conceptual understanding of machine learning principles, specifically in NLP, Search, or Ranking.
  • Technical Skills: Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, and pandas.
  • Deep Learning: Proficiency in training and fine-tuning deep learning models using PyTorch or TensorFlow.
  • Leadership: Proven ability to lead technical initiatives from concept to operation while navigating complex challenges.

Preferred Qualifications

  • Specialized Infrastructure: Deep experience with Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval.
  • Fine-tuning: Experience fine-tuning LLMs for specialized domain tasks and ranking signals.
  • AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains.
  • Planning & Memory: Experience implementing agentic "memory" (long-term/short-term) and planning strategies (like ReAct or Tree of Thoughts).
  • Data Structures: Expert knowledge of algorithms and data structures.
  • Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.
Not Specified
Community & Learning Content Creator
✦ New
Salary not disclosed
Saline, MI 1 day ago

Company Description

Busch’s Fresh Food Market is an independent supermarket chain proudly based in Saline, Michigan, with nearly 1,600 team members across 16 stores and corporate offices. Known for offering fresh and local products, Busch's specializes in farm-to-table produce, gourmet foods, and everyday staples, both in-store and online at . For nearly 50 years, our family-owned business has been a trusted neighborhood grocer, fostering growth for local farmers, entrepreneurs, and communities.


Role Description

This is a full-time, on-site role located in Saline, MI, for a Community & Learning Content Creator. The individual in this role will develop educational materials, create engaging content, and build community-focused initiatives to promote learning within the organization. Responsibilities include writing content, overseeing learning resources, collaborating with teams, handling corporate communications, and supporting events that strengthen community and employee engagement.


Key Contributions:

  • Develop engaging multimedia learning content including videos, eLearning modules, infographics, animations, and written materials.
  • Capture and produce video, photography, and digital content at leadership trainings, store events, vendor field trips, and community initiatives.
  • Partner with subject matter experts and cross-functional teams to translate complex information into clear, engaging learning resources.
  • Produce and manage multimedia assets from concept through post-production (scripting, filming, editing, and publishing).
  • Adapt content for internal communications, recruitment marketing, social media, and brand storytelling.
  • Leverage Retail Learning Institute (RLI), eLearning tools, and multimedia platforms to deliver innovative digital learning experiences.
  • Maintain organized media libraries and ensure all content aligns with Busch’s brand standards, accessibility, and instructional design best practices.


Education, Experience and Skills:

  • A high school diploma or G.E.D.
  • Experience in multimedia production – video, photo, audio, or graphic design. Proficient in content authoring tools such as Adobe, Canva and Docebo.
  • Proficient organization and planning skills, especially to manage multiple deadlines and projects.
  • Proficient communication and interpersonal skills, including written, verbal and listening skills.
  • Proficient computer skills in excel, word and email. Able to learn and use a variety of proprietary applications and technology.
  • Basic understanding of instructional design principles.



Not Specified
Learning Events Specialist, TAG University
Salary not disclosed
Chicago, IL 4 days ago

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:
Not Specified
jobs by JobLookup
✓ All jobs loaded