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Presence Learning Jobs in California (NOW HIRING)

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... presence. You may have the flexibility to work from home one or more days per week. This position ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

... presence. You may have the flexibility to work from home one or more days per week. This position ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... presence. You may have the flexibility to work from home one or more days per week. This position ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning Physics Graduate Student

Livermore, CA · On-site

$6.7K - $8.2K/mo

This position requires full-time on-site presence due to the nature of the work. You will * Develop ... Explore the use of machine learning methods to discover and evolve PDEs for phase field and phase ...

Amazon

Learning Trainer

Santa Ana, CA · On-site

The Learning Trainer works with Operations Managers, Area Managers, Production Assistants, Delivery ... presence on the floor; and • Facilitates and presents to groups of up to 50 people in a class ...

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$13

$40

$83

How much do presence learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for presence learning in California is $40.35, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $68.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Presence Learning clinician, and why are they important?

To thrive as a PresenceLearning clinician, you need a valid clinical license (such as SLP, OT, or School Psychologist), expertise in your specialty area, and experience with pediatric or K-12 populations. Familiarity with teletherapy platforms, secure video conferencing tools, and electronic documentation systems is essential. Strong communication, adaptability, and technology comfort are standout soft skills for engaging students and collaborating with school teams remotely. These skills ensure effective, accessible, and compliant delivery of therapy services in virtual educational settings.

What is Presence Learning?

Presence Learning is a company that provides online special education services, including speech therapy, occupational therapy, and mental health counseling, primarily for K-12 schools. Their platform connects licensed clinicians with students via secure video conferencing, allowing schools to address staffing shortages and offer specialized support remotely. Presence Learning’s services are designed to ensure students receive high-quality, personalized interventions, even when in-person professionals are not available.

What is the difference between Presence Learning vs Speech-Language Pathologist?

AspectPresence LearningSpeech-Language Pathologist
CredentialsTypically requires a license or certification in speech therapy or related fieldsRequires a master's degree in speech-language pathology and state licensure
Work EnvironmentPrimarily teletherapy, working remotely with students and schoolsCan work in schools, clinics, or private practice, often in person
Employer & IndustryEducational technology companies, school districts, telehealth providersSchools, healthcare facilities, private practices
Search & Comparison IntentLooking for teletherapy services or remote speech therapy optionsSeeking in-person or traditional speech therapy services

Presence Learning specializes in providing remote speech therapy services through telehealth platforms, making it accessible for students in various locations. In contrast, Speech-Language Pathologists often work in person within schools or clinics. While both roles require similar credentials, their work environments and delivery methods differ significantly.

What does a typical day look like for a teletherapy provider at Presence Learning?

As a teletherapy provider at PresenceLearning, your typical day involves conducting virtual therapy sessions with students, preparing individualized lesson plans, and maintaining thorough documentation of progress. You may collaborate with school staff, caregivers, and other therapists to ensure comprehensive support for each student. The role is largely remote, offering flexibility, but also requires strong organizational skills to manage caseloads and schedules efficiently. Team meetings and professional development opportunities are common, which foster a sense of community and ongoing learning even in a virtual environment.
What are popular job titles related to Presence Learning jobs in California? For Presence Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Presence Learning jobs in California look for? The top searched job categories for Presence Learning jobs in California are:
What cities in California are hiring for Presence Learning jobs? Cities in California with the most Presence Learning job openings:
Presence Learning jobs near you
Infographic showing various Presence Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,934 per year, or $40.4 per hour.

Machine Learning Expert

Adidev Technologies Inc

Palo Alto, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Role - Machine Learning Expert
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements:
  • Degree in Computer Science, Engineering, Statistics, or a related technical field.
  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
  • Strong foundational understanding of algorithmic complexity and data structure optimization.
  • Excellent problem-solving, collaboration, and communication abilities.
  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
We provide support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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