Machine learning [h1.location_city]
[job_alerts.create_a_job]
Machine learning • glendale ca
- [promoted]
Machine Learning Engineer
VirtualVocationsLos Angeles, California, United States- [promoted]
Machine Learning Engineer, Computer Vision
MetropolisLos Angeles, CA, USAI Machine Learning Engineer
Akaasa TechnologiesE Los Angeles, CA, United StatesSenior Machine Learning Engineer
Beyond LimitsGlendale, California, United States- [promoted]
- [new]
Senior Machine Learning Engineer, Ad Platforms
Disney Entertainment and ESPN Product & Technology CareersGlendale, CA, USRemote - Machine Learning Engineer
Robotics technology LLCCulver City, CA, United States of America- [promoted]
AI & Machine Learning Engineer
SkillGlendale, CA, United StatesLead Machine Learning Engineer
Disney Entertainment and ESPN Product & TechnologyGlendale, Californie, États-UnisMachine Learning Engineer
Emergency UniversityLos Angeles, United States- [promoted]
Principal Machine Learning Researcher
FreeformLos Angeles, CA, USMachine Learning Engineer
replicastudiosLas Angeles, California, United StatesSenior Software Engineer, Machine Learning
Machina LabsLos Angeles, CA, US- [promoted]
Director, Machine Learning Engineering, Programmatic Ads
PinterestLos Angeles, CA, United States- [promoted]
Machine Learning Engineer
OdesusLos Angeles, CA, USSenior Product Manager / Machine Learning
Motion RecruitmentLos Angeles, CA, United StatesSenior Machine Learning Engineer
HiscoxLos AngelesMachine Learning Engineer
JobotLos Angeles, CA, US- [promoted]
Machine Learning FEA Engineer
Apple Inc.Culver City, CA, United States- [promoted]
- [new]
Head of Machine Learning (Los Angeles)
ConfidentialLos Angeles, CA, USMachine Learning Engineer
VirtualVocationsLos Angeles, California, United States- [job_card.full_time]
A company is looking for a Machine Learning Engineer / AI Engineer to join their team.
Key Responsibilities
Design, develop, and deploy LLM-powered applications and automate processes
Build and optimize RAG pipelines using embeddings and vector databases
Mentor and coach engineers on best practices and applied AI strategies
Required Qualifications
Bachelor's degree in computer science, Data Science, or related field (Master's or PhD preferred)
4+ years of experience as an ML / AI Engineer with proven applied AI / LLM deployments
Proficiency in Python and ML / AI frameworks (TensorFlow, PyTorch, etc.)
Hands-on experience with LLMs, embeddings, vector databases, and RAG pipelines
Cloud experience with AWS and Azure for deploying and managing AI systems