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Machine Learning Engineer
Machine Learning EngineerRobert Half • El Segundo, CA, US
Machine Learning Engineer

Machine Learning Engineer

Robert Half • El Segundo, CA, US
19 hours ago
Job type
  • Full-time
Job description

Job Description

Job Description

Machine Learning Engineer (Mid-Senior Level)

  • Compensation : $150K-$175K salary.
  • Work Environment : Hybrid flexibility in a West LA location (2-3 days onsite).

We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.

Responsibilities :

  • Design and implement advanced machine learning solutions to address business challenges and drive innovation.
  • Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.
  • Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.
  • Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.
  • Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.
  • Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.
  • Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI / ML implementation.
  • Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.
  • Ensure high-quality coding standards and participate actively in code reviews.
  • Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • At least 3 years of experience in software development or engineering with a focus on machine learning.
  • Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of machine learning algorithms, including Boosting Trees, Random Forests, and applied statistics.
  • Hands-on experience with cloud platforms like Google Cloud Platform, AWS, or Databricks.
  • Expertise in designing and deploying custom AI / ML solutions for real-world applications.
  • Familiarity with Docker, Kubernetes, and distributed computing for scalable deployments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to stakeholders.
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    Machine Learning Engineer • El Segundo, CA, US

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