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Embedded Machine Learning Engineer Ai Ml

Los Angeles,CA

1029 Embedded Machine Learning Engineer Ai Ml jobs in Los Angeles,CA

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Staff Content Security Engineer

The Walt Disney Studios Careers - Glendale, CA

The Walt Disney Studios Careers - Glendale, CA

Staff Content Security Engineer
$141,900-$170,000/yr
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Machine Learning Engineer

Hadrian

Torrance, CA 90503

~ 24 min 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
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2nd Shift Machining Tech IV, Davenport

Howmet Aerospace

Torrance, CA 90505

$21.17-$35.99/hr
~ 24 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Minimum of 4+ Years of manufacturing experience or relevant machinery
  • Able to use the necessary measuring tools (Micrometers, Calipers, Dial Indicators, Comparator, Gages, etc) as required
  • 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.
  • This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
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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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Machining Tech V, Multi Spindle Screw Machine- 2nd Shift

Howmet Aerospace

Fullerton, CA 92831

Flexible Schedule
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MBSE & Digital Threads Engineer

BOOZ, ALLEN & HAMILTON

El Segundo, CA 90245

Education AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Experience performing systems engineering analysis and developing systems engineering products for government systems or mission critical systems
  • Experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
  • Knowledge of script-based and low-code or no-code automation
  • Ability to perform multiple systems engineering and program management functions in support of program milestone reviews
  • Ability to communicate effectively and establish collaborative relationships with government clients and associate contractor stakeholders or teammates to achieve program goals
  • Bachelor's degree in a STEM field
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Lead Software Engineer-AI Licensing & Publishing Systems

Disney Experiences Careers

Glendale, CA 91205

$150,000-$180,000/yr
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Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology Careers

Glendale, CA 91205

$148,700-$199,400/yr
Director, AI Strategy Architect

KPMG

Los Angeles, CA 90024

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
  • Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
  • Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems, integrating complex RAG pipelines, and connecting GenAI to proprietary enterprise data (Knowledge Graphs, Vector Databases) that handle complex, dynamic tasks and conversations
  • Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight foundational models for scalable, automated systems with expertise in agentic AI and automation
  • Skilled in designing multi-agent conversational and autonomous AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
  • Deep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation frameworks, prompt versioning, routing, and cost optimization), AI governance, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
  • Travel as needed
  • 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)
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Systems Engineer, Senior

BOOZ, ALLEN & HAMILTON

El Segundo, CA 90245

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of experience in systems engineering, including development and verification of system functional and performance requirements
  • 8+ years of experience with systems product acceptance process and reviews milestones, including SRR, SFR, PDR, or CDR events
  • Experience with managing specifications and performing requirements analysis
  • Ability to collaborate in cross-functional team meetings and task execution across systems engineering activities
  • Ability to be highly motivated, display a dynamic work ethic, and contribute to the DoD mission
  • Ability to establish strong working relationships with government clients, stakeholders, and vendor teammates
  • Secret clearance
  • Bachelor's degree in Engineering, Mathematics, Physics, or Computer Science
  • Secret clearance is required
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Staff Manufacturing Engineer, CNC Machining

Relativity Space

Long Beach, CA 90805

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