Staff Machine Learning Engineer, Document & Vision Intelligence

What you'll do

• Design and implement machine learning models, services, and components to solve real-world business problems.
• Write production-grade code for ML models as services and APIs.
• Build and maintain scalable data processing workflows and model deployment infrastructure.
• Develop automated systems for model training, hyperparameter tuning, and deployment.
• Manage end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability.
• Lead the design of complex ML solutions while balancing technical feasibility with business goals.
• Mentor junior engineers and collaborate with cross-functional teams to operationalize machine learning solutions.
• Apply AI-native practices and modern tools like LLMs and agentic workflows to improve engineering velocity.

What we're looking for

• Bachelor's degree in computer science, engineering, math, statistics, or a related quantitative field is required.
• Master's degree or equivalent work experience is preferred.
• 6+ years of experience applying machine learning techniques including deep learning, NLP, and generative AI.
• 6+ years of experience with Python, SQL, Spark, and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• 4+ years of experience working with cloud platforms such as AWS, Azure, Databricks, Snowflake, or Kubernetes.
• 4+ years of experience applying machine learning techniques in a production environment for business solutions.
• Experience designing and deploying production-grade ML systems including model monitoring, evaluation, and MLOps practices.
• Proven ability to lead projects, manage stakeholders, and communicate technical tradeoffs to non-technical audiences.