Commute Time
Date Posted
Title
Job Type
Benefits
Pay
8981 Learning And Development Engineering jobs in Los Angeles,CA
Machine Learning Applications Engineer (LA/DC Preferred)
Virtualitics
Los Angeles, CA 90011
RemoteHealth Insurance
- Must be open to obtaining and maintaining a U.S. government security clearance.
- Familiarity with Docker, Kubernetes, and Git.
- Proven track record of deploying software into production environments.
- Excellent communication skills in English, both written and verbal.
- A degree in Computer Science or related field, or 4+ years of software engineering experience.
- Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit‑learn, PyTorch, Matplotlib, etc.).
New, Posted 1 day ago
RD Intern Machine Learning Engineer 2026
Motorola
Los Angeles, CA 90079
$28.60-$33.80/hr
Sr Machine Learning Engineer
Disney
Burbank, CA 91505
$155,700-$208,700/yr
~ 21 min Onsite
- Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
- Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
- Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
- Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
- Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
- 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
- Solid foundation in statistics, data analysis, and applied machine learning techniques
- Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
- Experience operationalizing models in distributed, production environments
- Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
- Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
- Ability to translate ambiguous operational problems into solvable machine learning use cases
- Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
- Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
- Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
- Strong communication, collaboration and leadership skills
Apply Directly
Product Development Engineer
Molly Tea
Los Angeles, CA 90079
Sr Machine Learning Engineer
The Walt Disney Company (Germany) GmbH
Burbank, CA 91505
$155,700-$208,700/yr
~ 21 min Onsite
- Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
- Demonstrated success designing and building enterprise‑scale systems and reusable software frameworks.
- Experience working with large‑scale, real‑world datasets (noisy, incomplete, non‑standardized, and evolving)
- Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands‑on building AI agents.
- 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
- Solid foundation in statistics, data analysis, and applied machine learning techniques
- Proven hands‑on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
- Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML‑driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
- Proven hands‑on experience building production‑grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit‑learn, etc.
- Experience operationalizing models in distributed, production environments
- Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
- Ability to translate ambiguous operational problems into solvable machine learning use cases
- Capable of quickly shifting between detailed, hands‑on work and high‑level strategic thinking.
- Strong hands‑on experience building and deploying event‑driven or streaming data, machine learning models in production
- Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
- Strong communication, collaboration and leadership skills
Machine Learning Engineer
Hadrian Automation
Los Angeles, CA 90011
OnsiteHealth InsurancePaid Time OffRetirement Benefit
- Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
- ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
- Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
- 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Staff Machine Learning Engineer
Tubi TV
Los Angeles, CA 90011
RemoteHealth InsurancePaid Time OffRetirement Benefit
- 8+ years of industry experience building production Machine Learning systems
- Proficiency in building and deploying full‑stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
New, Posted 1 day ago
Development Test Specialist
Spacex
Hawthorne, CA 90250
$30-$38/hr
Health InsurancePaid Time OffRetirement Benefit
Application Developer (Data Engineering) - Remote
Georgia IT
Los Angeles, CA
Remote
New, Posted 1 hour ago
Work From Home Data Entry Associate
TradeJobsWorkforce
Los Angeles, CA
Remote
SEO Strategist - Apple Creator Studio
Apple, Inc.
Culver City, CA 90232
What companies are hiring Learning And Development Engineering jobs in Los Angeles,CA?
- Virtualitics
- Motorola
- Disney
- Molly Tea
- The Walt Disney Company (Germany) GmbH
- Hadrian Automation
- Tubi TV
- Spacex
- Georgia IT
- TradeJobsWorkforce
- Apple, Inc.
- Virtualitics
- Motorola
- Disney
- Molly Tea
- The Walt Disney Company (Germany) GmbH
- Hadrian Automation
- Tubi TV
- Spacex
- Georgia IT
- TradeJobsWorkforce
- Apple, Inc.
What is the hourly salary range for Learning And Development Engineering jobs in Los Angeles,CA?
The hourly salary range is $28.6 - $38.
The hourly salary range is $28.6 - $38.
