Machine Learning Engineer

Unclassified - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

About the position

We are currently seeking a talented and passionate Machine Learning Engineer to join our AI team in San Francisco. This role is pivotal in developing and implementing state-of-the-art machine learning models that will transform how people approach insurance. As part of a cutting-edge insurance firm at the forefront of applying artificial intelligence, you will be instrumental in revolutionizing the insurance industry by making it smarter, faster, and more personalized than ever before. Our team of brilliant minds is dedicated to pushing the boundaries of what's possible in risk assessment, claims processing, and customer experience. In this position, you will design, develop, and deploy machine learning models for various insurance applications, including risk assessment, fraud detection, and personalized policy recommendations. You will collaborate closely with data scientists, actuaries, and product managers to identify opportunities for AI-driven solutions. Your expertise will be essential in implementing and optimizing machine learning pipelines using Python, JAX, and TensorFlow. Additionally, you will conduct experiments to improve model performance and scalability, develop tools and frameworks to streamline the ML development process, and stay up-to-date with the latest advancements in machine learning and deep learning techniques.

Responsibilities

• Design, develop, and deploy machine learning models for various insurance applications, including risk assessment, fraud detection, and personalized policy recommendations
• Collaborate with data scientists, actuaries, and product managers to identify opportunities for AI-driven solutions
• Implement and optimize machine learning pipelines using Python, JAX, and TensorFlow
• Conduct experiments to improve model performance and scalability
• Develop tools and frameworks to streamline the ML development process
• Stay up-to-date with the latest advancements in machine learning and deep learning techniques

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field
• 3+ years of experience in developing and deploying machine learning models in production environments
• Strong proficiency in Python and experience with JAX and TensorFlow
• Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (preferably AWS or Google Cloud Platform)
• Excellent problem-solving skills and ability to translate complex business problems into technical solutions
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders

Nice-to-haves

• Experience in insurance sector
• Familiarity with reinforcement learning and generative models
• Contributions to open-source ML projects or research publications
• Knowledge of MLOps practices and tools

Benefits

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Flexible work arrangements
• Continuous learning opportunities, including conference attendance and training budgets
• Modern office in the heart of San Francisco with stunning views of the bay
• Collaborative and innovative work environment
• Opportunity to make a significant impact in a rapidly growing industry