HomeMy ResumeSaved JobsMatchesFeedback

      5169 Machine Learning Engineer 3 jobs in Los Angeles,CA

      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.

      Machine Learning Applications Engineer (LA/DC Preferred)

      Virtualitics

      Los Angeles, CA 90011

      RemoteHealth Insurance

      • Must be open to obtaining and maintaining a U.S. government security clearance.
      • Familiarity with Docker, Kubernetes, and Git.
      • Proven track record of deploying software into production environments.
      • Excellent communication skills in English, both written and verbal.
      • A degree in Computer Science or related field, or 4+ years of software engineering experience.
      • Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit‑learn, PyTorch, Matplotlib, etc.).
      SmartExplore AI is experimental.
      New, Posted 16 hours ago

      Sr. Machine Learning Infrastructure Engineer, Creator Studio

      Apple, Inc.

      Culver City, CA 90230

      Machine Learning Engineer Intern, Summer 2026

      Snap

      Los Angeles, CA 90079

      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.

      Machine Learning Infrastructure Engineer

      My AIO

      Los Angeles, CA 90011

      Remote

      • Experience with orchestration tools (e.g., Kubernetes, Ray, Airflow)
      • Deep knowledge of GPU tuning, distributed systems, and observability
      • 4+ years in ML infrastructure, MLOps, or performance engineering
      SmartExplore AI is experimental.

      Machine Learning Engineer, Distributed Data Systems

      OpenAI

      Los Angeles, CA 90011

      Hybrid

      • Demonstrate excellent software engineering fundamentals and organizational skills.
      • Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
      • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
      • Partner with researchers to deeply understand requirements and translate them into production-ready systems.
      • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.
      • Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.
      • Are detail-oriented and bring rigor to building and maintaining reliable systems.
      • Are comfortable with ambiguity and rapid change.
      SmartExplore AI is experimental.

      RD Intern Machine Learning Engineer 2026

      Motorola

      Los Angeles, CA 90079

      $28.60-$33.80/hr

      R&D Intern - Machine Learning Engineer - 2026

      Motorola Solutions

      Los Angeles, CA 90079

      $28.60-$33.80/hr

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

      PathAI

      Los Angeles, CA

      What companies are hiring Machine Learning Engineer 3 jobs in Los Angeles,CA?

      1. Hang
      2. Virtualitics
      3. Apple, Inc.
      4. Snap
      5. Disney
      6. My AIO
      7. OpenAI
      8. Motorola
      9. Motorola Solutions
      10. PathAI

      What is the hourly salary range for Machine Learning Engineer 3 jobs in Los Angeles,CA?

      The hourly salary range is $28.6 - $33.8.

      Recent Searches

        Browse Jobs in Top Cities

        Browse Jobs by State

        Browse Jobs by Title

        Post a Job

        About

        Advice

        Contact

        © 2026 Jobs2Careers. All rights reserved.

        Privacy Policy

        Terms of Use

        Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

        Logos provided by Logo.dev

        Jobs2Careers Powered by Talroo