Machine Learning Engineer
<p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>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.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
• Bachelor's degree or higher in Computer Science, Engineering, or a related field.<br>• At least 3 years of experience in software development or engineering with a focus on machine learning.<br>• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.<br>• Strong understanding of machine learning algorithms, including Boosting Trees, Random Forests, and applied statistics.<br>• Hands-on experience with cloud platforms like Google Cloud Platform, AWS, or Databricks.<br>• Expertise in designing and deploying custom AI/ML solutions for real-world applications.<br>• Familiarity with Docker, Kubernetes, and distributed computing for scalable deployments.<br>• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to stakeholders.
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- El Segundo, CA
- onsite
- Permanent
-
150000.00 - 175000.00 USD / Yearly
- <p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>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.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
- 2025-10-24T00:28:43Z