1257 Machine Operators jobs in Calabasas, CA

High school diploma, GED or five (5) years' work experience
Must be able to read, speak, write and understand English
Knowledge and the ability to read and understand 1/1000-, 1/100- and 1/10-inch measurements- G and M codes
ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee
Ability to read blueprints
This position is subject to the International Traffic in Arms Regulations (ITAR)

SmartExplore AI is experimental.

Sr Machine Learning Engineer

The Walt Disney Company (Corporate) Careers

Burbank, CA 91505

$155,700-$208,700/yr

Easy Apply

CNC Mill Machinist

Mason

Sylmar, CA 91342

~ 33 min Onsite

The employee must be able to lift, push, pull or move up to fifty (50) pounds or more with assistance.
Specific vision abilities required by this job include close vision, color vision, peripheral vision and ability to adjust focus.
Must setup & operate mills and lathes in a safe & accurate manner.
This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR.
8yrs of experience setting up and operating CNC machines.
ITAR defines a US person as: any individual who is granted U.S. citizenship; or. any individual who is granted U.S. permanent residence ("Green Card" holder); or. any individual who is granted status as a "protected person" under 8 U.S.C 1324b(a)(3).
Read and interpret blueprints and drawings.
Good language skills.

SmartExplore AI is experimental.

Senior Machine Learning Engineer – Engineering Intelligence Systems

Keysight Technologies SAles Spain SL.

Calabasas, CA 91302

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Passion for building interpretable, data‑driven models that explain — not just predict — engineering phenomena.
Demonstrated ability to apply statistical analysis, uncertainty modeling, and visualization to engineering datasets.
Strong programming proficiency in Python, with experience in C++ integration for high‑performance model components.
Strong foundation in computer science fundamentals (data structures, algorithms, and distributed systems) and their application to ML systems.
Hands‑on experience with data preprocessing, feature engineering, and pipeline automation (Python, SQL, or equivalent).
Proven experience developing neural or hybrid ML models for engineering, physics, or signal‑processing domains.
Experience implementing XAI methods for scientific or engineering models.
Experience using data management and analytics tools (e.g., pandas, NumPy, Apache Arrow, SQL).
Familiarity with experiment tracking and MLOps tools (e.g., MLflow, DVC, or equivalent).
PhD or 5+ years of experience in machine learning, applied data science, computational modeling, or related technical fields.
Proficiency in PyTorch, libtorch, or similar frameworks for model development and training.

SmartExplore AI is experimental.

New, Posted 18 hours ago

Sr. Machine Learning Ops Engineer (Director)

Medium

Los Angeles, CA 90011

~ 37 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Expert-level proficiency in Python, complemented by strong skills in Bash scripting.
Experience with Databricks Model Serving endpoints and inference optimization.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Hands‑on experience with vector databases (Databricks Vector Search, Pinecone, Weaviate, Chroma, or Milvus).
Experience with workflow orchestration tools (Airflow, Prefect, or Databricks Workflows) and monitoring tools (Prometheus, Grafana, Evidently AI).
Experience with LLM APIs and frameworks (OpenAI, Anthropic Claude, LangChain, LlamaIndex).
Extensive experience designing and implementing cloud solutions on Azure (required) or GCP.
Hands‑on experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps.
Demonstrated experience building and deploying RAG (Retrieval-Augmented Generation) systems in production environments.
Strong SQL proficiency and practical experience with Databricks platform.
Familiarity with Databricks Feature Store and Unity Catalog for ML governance.
Understanding of Delta Lake and Lakehouse architecture for ML data pipelines.
Deep expertise with Docker and Kubernetes for containerizing and orchestrating ML workloads.
Understanding of embedding models, chunking strategies, and retrieval optimization techniques.
7+ years of experience as an ML Ops Engineer, ML Engineer, or similar role with production deployment responsibility.
Knowledge of prompt engineering best practices and LLM evaluation methodologies.
Experience with ML flow for experiment tracking, model registry, and model serving.