<p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><p>We are seeking a skilled <strong>Machine Learning Engineer</strong> to join a dynamic team in <strong>West Los Angeles</strong>. This hybrid position requires <strong>2-3 days onsite per week</strong> and offers competitive pay ranging from <strong>$150K to $175K</strong>, depending on experience. This role is ideal for professionals passionate about developing cutting-edge AI solutions and working in a fast-paced, collaborative environment.</p><p><br></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><li><strong>Projects</strong>: Opportunity to work on innovative and impactful machine learning projects.</li></ul><p><br></p><p><br></p>

<ul><li><strong>Education</strong>: Bachelor's degree in Computer Science, Engineering, or related field.</li><li><strong>Experience</strong>: 5+ years in machine learning-focused software development/engineering.</li><li><strong>Technical Skills</strong>: Python, SQL, PyTorch, machine learning algorithms (e.g., DNN, Random Forests), end-to-end ML workflows, cloud platforms (AWS/GCP/Databricks), Docker/Kubernetes.</li><li><strong>Attributes</strong>: Strong collaboration, communication, analytical skills, and high coding standards.</li><li><strong>Preferred: </strong>Advanced degrees (Master’s/PhD in ML/AI).</li><li>Experience with AI frameworks (e.g., LangChain, HuggingFace, LLMs), recommender systems, Ray.</li><li>Knowledge of Scala or Rust.</li><li>Understanding of Bayesian statistics, causal inference, and MLOps/CI/CD pipelines.</li></ul><p><br></p><p>Apply today to join our talented team driving AI-powered solutions!</p>

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