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Salaried Deep Learning Jobs in Riverside, CA (NOW HIRING)

... deep learning, we want to hear from you! The Campus Director will: * Lead all day-to-day campus ... This position includes a salary range of 129,275k - 133,463k. Impact : Opportunity to work closely ...

... deep learning, we want to hear from you! The Campus Director will: * Lead all day-to-day campus ... This position includes a salary range of 129,275k - 133,463k. Impact : Opportunity to work closely ...

... deep learning, we want to hear from you! The Campus Director will: * Lead all day-to-day campus ... This position includes a salary range of 129,275k - 133,463k. Impact : Opportunity to work closely ...

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement ... Curiosity. We are looking for a strong builder - someone who combines deep software engineering ...

Digital Design Engineer

Irvine, CA ยท On-site

$190K - $240K/yr

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Digital Design Engineer

Irvine, CA ยท On-site

$190K - $240K/yr

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Digital Design Engineer

Irvine, CA ยท On-site

$190K - $240K/yr

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ... salary ranges will be communicated with candidates during the recruitment process.

Senior ML Engineer

Anaheim, CA ยท On-site +1

$109K - $150K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy ... Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one ...

Senior Machine Learning Platform Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

Our salary range is generous and we consider each individual's background and experience when ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Senior Machine Learning Platform Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

Our salary range is generous and we consider each individual's background and experience when ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

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Showing results 1-20

Salaried Deep Learning information

See Riverside, CA salary details

$11.5K

$87.5K

$146.1K

How much do salaried deep learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for salaried deep learning in Riverside, CA is $87,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior deep learning researcher or executive, often requiring advanced skills in machine learning, extensive experience, and sometimes leadership responsibilities. Such roles may involve overseeing AI projects, developing innovative models, and utilizing tools like TensorFlow or PyTorch, with compensation reflecting expertise and impact in the field.

What jobs pay $500,000 a year in the US?

In the US, highly specialized roles such as senior AI researchers, machine learning executives, and data science directors in deep learning can reach or exceed $500,000 annually, especially with bonuses and stock options. These positions typically require advanced degrees, extensive experience, and expertise in deep learning frameworks, large-scale data handling, and programming skills. Compensation varies by industry, company size, and geographic location, with top-tier tech firms and finance companies offering the highest salaries.

What job makes $10,000 a month without a degree?

A salaried deep learning engineer can earn $10,000 or more per month by developing AI models, often requiring strong programming skills in Python, experience with machine learning frameworks, and a solid understanding of neural networks. Such roles are typically found in tech companies, research labs, or startups and may not require a formal degree if the candidate demonstrates expertise through portfolio work or certifications.

What profession makes $400,000 a year?

In the field of salaried deep learning, senior roles such as AI research directors, machine learning executives, or highly experienced data scientists can earn $400,000 or more annually, especially in large tech companies or specialized industries. These positions typically require advanced degrees, extensive experience, and expertise in deep learning frameworks, programming, and large-scale data handling.

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

What are popular job titles related to Salaried Deep Learning jobs in Riverside, CA? For Salaried Deep Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Salaried Deep Learning jobs in Riverside, CA look for? The top searched job categories for Salaried Deep Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Salaried Deep Learning jobs? Cities near Riverside, CA with the most Salaried Deep Learning job openings:

Senior Learning Architecture Advisor

Inland Empire Health Plan

Rancho Cucamonga, CA โ€ข On-site

$104K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

Overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!
Under the direction of the Manager, Learning & Organizational Development (L&OD), the Senior Learning Architecture Advisor leads the design and evolution of IEHP's enterprise learning architecture. This role shapes holistic learning experiences, defines content governance standards, and ensures scalable, consistent, and innovative solutions aligned with IEHP's strategic and operational priorities.
The Senior Learning Architecture Advisor brings systems thinking, content strategy expertise, and deep adult learning knowledge to design connected, seamless learning journeys across digital and in-person modalities. This role partners cross-functionally to ensure learning solutions are human-centered, measurable, and operationally sustainable.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Key Responsibilities
  • Learning Architecture & Content Strategy:
    • Define and lead IEHP's enterprise content strategy for digital and print learning experiences, ensuring alignment with business objectives, learner needs, and educational standards.
    • Design holistic learner journeys that connect programs, platforms, and experiences into a unified ecosystem.
    • Lead development of content flows and journey maps that demonstrate how learners move through IEHP's development pathways.
    • Facilitate consensus-building and content definition across products and learning portfolios.
  • Design & Innovation Leadership:
    • Champion human-centered design principles and establish best practices for collaborative, user-centered workflows.
    • Coach teams in designing hybrid learning experiences (digital and print) that integrate instructional models and macro/micro implementation frameworks.
    • Guide application of adult learning principles including self-directed learning, experiential methods (simulations, role-play, job shadowing), collaborative dialogue, reflective practices, and microlearning strategies.
    • Ensure learning solutions balance usability, scalability, accessibility, and operational feasibility.
  • Enterprise Collaboration & Governance:
    • Partner with the L&OD team and Learning Program Administrator to execute project and program portfolios with governance consistency and quality standards.
    • Collaborate with technical product management and product owners to define requirements for LMS and authoring tool enhancements.
    • Establish frameworks and guidelines to ensure consistent branding, experience design, and governance across all learning initiatives.
  • Program Design & Facilitation:
    • Design and facilitate leadership development workshops, content design sessions, and strategy alignment forums.
    • Guide both macro (enterprise-level) and micro (program-level) content strategy decisions to optimize learning outcomes.
    • Mentor colleagues in information architecture, user flows, and scalable content system design.
  • Measurement, Optimization & Continuous Improvement:
    • Define success metrics for learning architecture initiatives and evaluate effectiveness using qualitative and quantitative data.
    • Partner with analytics stakeholders to refine learning journeys based on engagement, performance outcomes, and learner feedback.
    • Stay current on trends in education, design, and technology, translating insights into forward-thinking improvements.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Qualifications
Education & Requirements
  • Minimum of seven (7) years in learning and development paired with learning architecture experience and/or learning experience design required
  • Demonstrated expertise consulting with business leaders to diagnose needs and design enterprise-level learning ecosystems
  • Proven success scoping, designing, and implementing high-quality leadership and management development programs across modalities
  • Strong track record of designing team development interventions that improve collaboration and effectiveness
  • Experience leveraging digital learning technologies (LMS platforms, Canva, Mentimeter, LinkedIn Learning, Microsoft 365/Teams)
  • Bachelor's degree in Organizational Development, Leadership Development, Human Resources, Education, Business Administration, or related field from an accredited institution required
    • Master's degree in Organizational Development, Leadership Development, Human Resources, Education, Business Administration, or related field from an accredited institution preferred
  • Coaching credential paired with practical experience supporting leaders preferred

Key Qualifications
  • Expert comprehensive knowledge of:
    • Designing end-to-end learner journeys that connect platforms, content libraries, coaching, and job-embedded practice
    • Microsoft 365 and Teams environments, including governance, permissions, and content architecture
    • Facilitating topics such as motivational interviewing, MBTI, DISC, or similar assessments preferred.
    • Creating and maintaining templates, style guides, and design patterns to drive consistency
    • When to utilize different aspects of adult learning principles, such as: Self-directed learning (asynchronous), experiential learning (role-play, simulation, job shadowing), Collaborative learning (group discussions, peer mentoring, dialogue), Reflective activities (journaling, self-assessments), microlearning
    • Fluency in LMS capabilities, workflows, and integration requirements
  • Strong project management skills
  • Strong skills in learning experience design and instructional models
  • Proven ability to:
    • Prioritize effectively and manage competing priorities
    • Partner cross-functionally with multiple leaders and departments
    • Show comfort in leading through ambiguity and shaping enterprise-wide learning ecosystems
    • Translate complex concepts into clear, learner-friendly solutions
    • Possess strong facilitation abilities for workshops, design sessions, and leadership forums

Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Mon & Fri - remote, Tues - Thurs onsite in Rancho Cucamonga, CA.)
Pay Range
USD $104,041.60 - USD $137,841.60 /Yr.