Machine learning [h1.location_city]
[job_alerts.create_a_job]
Machine learning • pasadena ca
- [promoted]
Machine Learning Engineer
VirtualVocationsLos Angeles, California, United StatesSenior Machine Learning Engineer
FreeformLos Angeles, CA, USSenior Software Engineer, Machine Learning
MediumLos Angeles, CA, United StatesSenior Machine Learning Engineer, Computer Vision
MetropolisLos Angeles, CA, USPrivacy Manager - Machine Learning Assessments : 25-06388
AkrayaLos Angeles, CA, USSenior Machine Learning Engineer, Ad Platforms
Disney Entertainment and ESPN Product & TechnologyGlendale, California, United StatesStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United States- [promoted]
Senior Machine Learning Engineer
Capital GroupLos Angeles, CA, United StatesSenior Machine Learning Engineer
Beyond LimitsGlendale, California, United StatesSenior Machine Learning Engineer
SpokeoPasadena, CA, USStaff Machine Learning Engineer
AngiCaliforniaMachine 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 StatesPrincipal Machine Learning Data Scientist, Gen AI
XometryLos Angeles, CA, USManager, Machine Learning Engineering, User & Friends
Snap Inc.Los Angeles, CaliforniaSenior Machine Learning Engineer
HiscoxLos AngelesMachine Learning Engineer
Emergency UniversityLos Angeles, California, USA- [promoted]
Engineering Manager - Model Development, Machine Learning Platform
NetflixLos Angeles, CA, USMachine Learning Engineer
VirtualVocationsLos Angeles, California, United States- [job_card.full_time]
A company is looking for a Machine Learning Software Engineer - Optical Engineering.
Key Responsibilities
Design, develop, and maintain scalable simulation frameworks for large, complex systems
Leverage simulation and operational data to enhance software development and automated validation processes
Develop and deploy machine-learning solutions to improve system reliability and performance
Required Qualifications
Master's or PhD in Machine Learning, Computer Science, Software Engineering, Electrical Engineering, or a related field
At least 3 years of industry experience in software development or system simulation
Expertise in machine learning application, particularly in model evaluation and deployment
Advanced proficiency in Python and its machine learning ecosystem
Experience with C++ and the creation of a digital twin