Staff Machine Learning Engineer (Applied ML)

• Design, develop, A/B test, and deploy foundational models while collaborating with data scientists to drive data-driven decisions
• Enhance models by incorporating innovative features on a quarterly basis and leveraging the latest industry research
• Monitor feature and model health, and communicate changes in model decisions
• Explore and integrate advanced technologies, including deep learning
• Lead by example to foster operational excellence and transformative change
• Expand responsibilities as new products emerge

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in machine learning with strong software engineering skills
• Proficiency in a broad range of ML techniques deep learning, sequence models, and tree-based models
• Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch
• Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI)
• Hands-on experience with modern LLM stack: foundations models and APIs such as Open AI and Andtropic
• LLM guardrails, framework such as LangGraph, LangChain
• ML flow
• Strong communication and collaboration skills
• Passion for continuous learning and staying updated on industry trends

equity and benefits