958 Machine Learning Engineer Generative Ai jobs in Los Angeles,CA

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Director, Quality Engineering & AI Integration

L3Harris Technologies

Canoga Park, CA 91303

~ 35 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 15 years of prior quality experience.
Graduate Degree and a minimum of 13 years of prior related quality experience.
In lieu of a degree, minimum of 19 years of prior related quality experience.
10+ years of progressive experience in quality engineering, technical quality, or related roles within aerospace, defense, propulsion, or high-reliability manufacturing industries.
10+ years of hands-on expertise in quality engineering disciplines such as design assurance, process validation, SPC, GD&T;, APQP/PPAP, PFMEA, root cause analysis (8D/5-Why), and statistical methods.
8+ years of leadership experience managing quality engineering teams, including multi-site or distributed organizations in complex defense/aerospace environments.
5+ years of experience leading quality engineering for manufacturing ramp-ups, process improvements, new product introductions, or high-reliability programs in regulated industries.
3+ years demonstrated experience developing, implementing, or leading adoption of AI/ML tools, applications, or data-driven solutions in quality, manufacturing, inspection, or engineering contexts (e.g., predictive analytics, computer vision for defect detection, automated process monitoring, or AI-augmented root cause analysis).
Ability to obtain US Secret Security Clearance.
Oversee core quality engineering functions: design assurance, PFMEA/APQP/PPAP, SPC, GD&T;, MSA, risk-based quality planning, and verification/validation across product lifecycles.

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New, Posted 1 day ago

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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 1 day ago

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Machinist

Knott's Berry Farm

Buena Park, CA 90620

$28.64-$37.24/hr

~ 27 min Onsite

Requires a minimum of 4–6 years of experience in machining and welding operations, along with a current AWS D1.1 Certified Welder certification.
Possess strong knowledge of machinist and welding trade practices, including the properties and applications of various metals and alloys, and be proficient in selecting proper welding techniques for different materials and structural requirements.
Prior experience operating and maintaining machine tools, metal-forming and metal-removal equipment, and various welding devices to fabricate, fit, assemble, repair, and maintain parts and equipment used in a theme park environment.
Must be able to determine proper welding techniques for various alloys; operating and maintaining metal-removing machines, metal forming equipment, machine tools and a variety of welding devices.
Lay out, fit, and fabricate metal components to assemble structural forms, such as machinery frames, bridge parts, and pressure vessels, using knowledge of welding techniques, metallurgy, and engineering requirements. Includes analyzing engineering drawings and specifications to plan welding operations where procedural information is required or unavailable.
Must be able to read and interpret blueprints, drawings, and specifications to determine dimensions, tolerances, layouts, and work sequences, and perform layout, fitting, and fabrication of metal components such as ride structures, mechanical assemblies, and support systems. This position requires applying knowledge of machine shop theory, shop mathematics, metallurgy, and fabrication techniques to safely execute work, often planning tasks independently when detailed instructions are not available.
Ability to perform basic mathematical calculations and effectively communicate in English to follow procedures, complete documentation, and coordinate with team members is essential, with a strong emphasis on safety, precision, and maintaining equipment critical to guest operations.

SmartExplore AI is experimental.

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Senior Associate, AI Engineer

KPMG

Los Angeles, CA 90011

OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus
Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
Proficiency in Python or another programming language commonly used in AI/ML
Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs
Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Machine Learning Engineer - News

Disney Entertainment and ESPN Product & Technology Careers

Glendale, CA 91205

$148,700-$199,400/yr

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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.

New, Posted 1 day ago

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Sr Software Engineer-Licensing/AI Systems

Disney Experiences Careers

Glendale, CA 91205

$141,900-$190,300/yr

New, Posted 14 hours ago

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Machinist

Knott's Berry Farm Careers

Buena Park, CA 90620

$28.64-$37.24/hr

New, Posted 1 day ago

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Senior Product Manager-Licensing/AI (Project Hire)

Disney Experiences Careers

Glendale, CA 91205

$141,900-$190,300/yr

New, Posted 1 day ago

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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.