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Learning Engineer Jobs in California (NOW HIRING)

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Booz Allen Hamilton

Machine Learning Engineer

San Diego, CA · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses ...

YouTube

Machine Learning Engineer

San Francisco, CA · On-site

Overview Direct message the job poster from YouTube This is a full-time role for a Machine Learning Engineer in YouTube for Level L3/L4. You will get a chance to work on recommendation in YouTube.

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to develop and deploy algorithms for fish farms worldwide. You'll be responsible for software and machine learning model development of our on‑camera ...

Booz Allen Hamilton

Machine Learning Engineer

San Diego, CA · On-site

$77K - $176K/yr

R0242167 Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

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All JobsLearning Engineer JobsLearning Engineer Jobs in California

Learning Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for learning engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often found in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, data science, and leadership, along with extensive experience and sometimes advanced degrees or certifications.

What does a learning engineer do?

A learning engineer designs, develops, and implements educational programs and digital learning solutions. They analyze learning needs, create instructional content, and often use tools like learning management systems (LMS) to enhance training effectiveness. Strong skills in instructional design, technology, and data analysis are essential for this role.

Is ML a high paying job?

Learning engineers and related machine learning roles tend to have high salaries compared to many other tech positions, especially with specialized skills in data modeling, programming, and AI tools. Salaries vary based on experience, location, and industry, but machine learning jobs generally offer competitive compensation due to high demand for expertise in AI and data science.

What is the difference between Learning Engineer vs Instructional Designer?

AspectLearning EngineerInstructional Designer
Required CredentialsBachelor's or master's in education, instructional design, or related fields; familiarity with e-learning toolsBachelor's or master's in education, instructional design, or related fields; expertise in curriculum development
Work EnvironmentCollaborates with developers, data analysts, and educators to build digital learning solutionsDesigns and develops educational content and curricula for various learning settings
Employer & Industry UsageTech companies, online education platforms, corporate trainingSchools, universities, corporate training departments

Learning Engineers focus on developing and implementing innovative digital learning solutions using technology and data analysis, while Instructional Designers primarily create educational content and curricula. Both roles require similar educational backgrounds and often work in overlapping industries, but their core responsibilities differ in approach and focus.

What is a Learning Engineer?

A Learning Engineer is a professional who designs, develops, and implements educational experiences using principles from learning science, technology, and instructional design. They work to create effective learning environments, often integrating digital tools and data analytics to enhance teaching and learning outcomes. Learning Engineers collaborate with educators, subject matter experts, and technologists to build solutions that address specific educational challenges.

How do Learning Engineers typically collaborate with subject matter experts and instructional designers during course development?

Learning Engineers play a pivotal role in bridging technical solutions and educational goals. They often work closely with subject matter experts to deeply understand the content, ensuring its accurate representation in digital formats. Collaboration with instructional designers is essential, as Learning Engineers translate pedagogical strategies into interactive and accessible learning experiences, utilizing technologies such as learning management systems, analytics, and multimedia tools. Effective communication and iterative feedback are key, as these teams work together to design, test, and refine educational products that maximize learner engagement and success.

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

To thrive as a Learning Engineer, you need expertise in instructional design, learning science, and educational technology, often supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate or Adobe Captivate, and data analytics platforms is typically required. Strong collaboration, problem-solving, and communication skills distinguish top performers in this role. These competencies are crucial for designing effective, scalable learning experiences that meet diverse learner needs and organizational goals.

What engineers make $500,000?

Senior engineers in fields such as software, data, and systems engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or startups with rapid growth.
What are popular job titles related to Learning Engineer jobs in California? For Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Learning Engineer jobs in California look for? The top searched job categories for Learning Engineer jobs in California are:
Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

LeanData

Santa Clara, CA

Other

Retirement, PTO

Posted 6 days ago

Job description

Machine Learning Engineer

LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue.

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate will have a passion for experimenting with various AI libraries and tools, making recommendations, and collaborating with cross-functional teams to develop a product that uncovers insights tied to our customers' success.

Role

This role is based at our Santa Clara, CA office. An ML Engineer is required to be in office Mondays and Wednesdays each week. Lunch will be provided on those days.

What You'll Be Doing
  • Research, prototype and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go to market data
  • Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies
  • Collaborate with product and engineering teams to design, develop and deploy a scalable AI-powered product that delivers insights into a go-to-market strategies and their impact on success
  • Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability
  • Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product
Requirements
  • Strong ability to experiment with and explore diverse AI/ML libraries and tools
  • 6+ years of experience in machine learning with hands on experience building and deploying ML models
  • Comfortable working with Python or similar programming languages for data analysis and model development.
  • Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
  • Experience leading and mentoring a team of junior engineers while providing technical guidance and fostering a collaborative environment.
  • Collaborative mindset with experience working in cross-functional teams.
  • Master's degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence)
  • Desire to learn
  • Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.
Bonus Points If You Have
  • Familiarity with natural language processing (NLP)
  • Prior experience contributing to the development of a customer-facing AI product
  • Familiarity with data processing tools and AWS is a plus.
  • Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.
Why Work At LeanData
  • LeanData covers employee insurance premiums up to 90%
  • Stock options in LeanData for all full-time employees
  • Flexible PTO
  • 401K plan

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