1280 Machine Learning Engineer Integration jobs in Los Angeles,CA

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
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

Snider Precision

Los Angeles, CA 90022

Howmet Aerospace

Brea, CA 92821

Votaw Precision Technologies, LLC

Santa Fe Springs, CA 90670

Mason

Sylmar, CA 91342

Relativity Space

Long Beach, CA 90802

Degree in engineering or a related technical field
2+ years of hands-on experience building and testing hardware in a manufacturing or integration environment
Investigating hardware issues, resolving non-conformances, and driving root cause analysis with corrective actions implemented effectively
Familiar with general assembly and test procedures, including tolerance stack-up analysis, structural proof testing, and pressurized leak checks
Comfortable interfacing across design, manufacturing, supply chain, and test teams to ensure hardware quality and schedule alignment
Self-starter who can define and roll out new processes from scratch, working collaboratively with technicians, engineers, and external vendors
Proficient in GD&T;, CAD, and basic design or test analysis, with experience in at least two of the following: LOX cleanliness, leak checking, sensor checkouts, tube bending, tool design, crane operations, or subassembly builds

Dexter Magnetic Technologies

Torrance, CA 90505

5 years experience machining low volume, highly engineered product with zero or little scrap, or 3 years experience with a trade school certification in Machining
Advanced knowledge of blueprint reading and GD&T
1 year experience writing simple G&M; code programs