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7756 Machine Learning Engineer 30 jobs in Los Angeles,CA

Machine Learning Engineer Intern, Summer 2026

Snap

Los Angeles, CA 90079

New, Posted 1 day ago

RD Intern Machine Learning Engineer 2026

Motorola

Los Angeles, CA 90079

$28.60-$33.80/hr

Machine Learning Engineer

Hang

Los Angeles, CA 90011

RemoteHealth Insurance

Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
Experience with data processing and data analytics.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
Strong communication skills and ability to work well in a team.
5+ years of experience in machine learning and data related roles.
Proven experience as a Machine Learning Engineer or in a similar role.
Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
Experience with snowflake, Postgres, RDS, Redis and AWS.
Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.

SmartExplore AI is experimental.

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

SmartExplore AI is experimental.

New, Posted 1 day ago

Machine Learning Intern/Co-op (Summer/Fall 2026)

PathAI

Los Angeles, CA

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower

Los Angeles, CA

Staff Machine Learning Engineer

Tubi TV

Los Angeles, CA 90011

RemoteHealth InsurancePaid Time OffRetirement Benefit

8+ years of industry experience building production Machine Learning systems
Proficiency in building and deploying full‑stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions
MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks

SmartExplore AI is experimental.