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1756 Deep Learning Field Engineer jobs in Los Angeles,CA

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STIIIZY Instructional Design Specialist

Stiiizy

Los Angeles, CA 90011

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Must be able to access and navigate each department at the organization's facilities
Hands-on experience with authoring tools such as Articulate Storyline, Rise, Camtasia, or Adobe Captivate
Must be at least 21 years of age
Must be able to push, pull, move, and/or lift a minimum of 15 lbs. to a minimum height of 5 feet and able to push, pull, move, and/or carry such weight a minimum distance of 50 feet
Bachelor's degree in Instructional Design, Educational Technology, Learning & Development, Communications, or a related field required
Proven experience creating eLearning modules, instructor-led training (ILT), virtual instructor-led training (vILT), and blended learning solutions
Familiarity with LMS platforms and experience publishing SCORM-compliant content
Ability to get in and out of the vehicle and walk up and down stairs during your shift
2–4 years of professional experience designing and developing training content for adult learners
Experience collaborating with subject matter experts (SMEs) and cross-functional teams to translate complex topics into clear, engaging learning content
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Working knowledge of instructional design models and methodologies (e.g., ADDIE, SAM, Bloom's Taxonomy)
Prolonged periods of standing, sitting at a desk, and working on a computer
Must be able to stand, sit for prolonged periods of time, bend, kneel, squat, and twist

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Sr Machine Learning Engineer

Disney

Burbank, CA 91505

$155,700-$208,700/yr

~ 21 min Onsite

Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
Solid foundation in statistics, data analysis, and applied machine learning techniques
Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
Experience operationalizing models in distributed, production environments
Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
Ability to translate ambiguous operational problems into solvable machine learning use cases
Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
Strong communication, collaboration and leadership skills