905 Engineering Director Machine Learning jobs in Los Angeles,CA

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Senior Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & Technology Careers

Glendale, CA 91205

$148,700-$199,400/yr

New, Posted 6 hours ago

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Machine Learning Engineer

Hadrian

Los Angeles, CA 90012

OnsiteHealth InsuranceRetirement Benefit

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

SmartExplore AI is experimental.

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Lead Machine Learning Engineer, Ads Research

Disney Entertainment and ESPN Product & Technology Careers

Santa Monica, CA 90405

$171,600-$230,100/yr

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Events Director

Cucina Alba - Los Angeles

Los Angeles, CA 90048

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12B1 Combat Engineer - Find Your Full Time or Part Time Army Career

US ARMY

Santa Barbara, CA 93101

~ 1 hr 41 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
Advanced certifications require additional full funded training programs.

SmartExplore AI is experimental.

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Principal Ride Development Engineer, Design Assurance

Disney

Glendale, CA 91201

$139,200-$186,600/yr

~ 17 min OnsiteHealth Insurance

Bachelor's Degree (B.S. or B.A.) in Engineering from an accredited college or university required
Advanced engineering knowledge (e.g., statics, dynamics, kinematics, stress/strain/fatigue)
Advanced engineering expertise (e.g., machine design, weldments, power train, materials)
Proficiency with engineering tools (e.g., Solid Modeling, Building Information Modeling (BIM), 2D Modeling, FEA, Engineering calculation software e.g. Mathcad, Engineering programming and modeling software e.g. MatLab)
Superior design sensibilities and creative problem solving
Excellent written & verbal communication skills
Ability to work collaboratively within a large and diverse team environment

SmartExplore AI is experimental.

New, Posted 6 hours ago

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2nd Shift, Machining Technician II Davenport

Howmet Aerospace

Torrance, CA 90505

$17-$29/hr

~ 24 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

2nd Shift Machine Tech II
Sets up, operates, and trouble shoots on multi-spindle davenport machines.
Certified in Lock Out/Tag Out
Ability to read and interpret blueprints
Must have good communication skills and know basic shop math
Must be able to read, write and understand English
Must be able to lift/move up to 30 lbs. (may not exceed per EHS Policies)
High school diploma or general education degree (GED) preferred.
Minimum 1 year experience in relevant machining experience.
Employees must be legally authorized to work in the United States.
Verification of employment eligibility will be required at the time of hire.
Visa sponsorship is not available for this position.

SmartExplore AI is experimental.

New, Posted 1 hour ago

iHire

Director, Industrial Markets Strategy

KPMG

Los Angeles, CA 90001

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Oakley Machine Operator – Foothill Ranch, CA

Adecco

El Toro, CA 92609

$18.97-$20.97/hr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED
Minimum 6 months of experience in a fast-paced manufacturing environment
Basic computer and math skills
Ability to read, write, and understand English, including safety protocols, operating procedures, labels, and instructions
Detail-oriented, adaptable, and able to multi-task in a fast-paced environment
Basic knowledge of and ability to use powered and pneumatic hand tools
Ability to stand for 8–10+ hours per shift and perform physical tasks including walking, pushing, bending, stooping, reaching, and occasionally lifting up to 40 lbs
Ability to work overtime, weekends, and holidays as needed
Required to wear safety glasses and follow all safety procedures

SmartExplore AI is experimental.

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