Sr. Staff ML Platform Engineer

• Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
• Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
• Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
• Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
• Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
• Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• 8+ years of industry machine learning experience and excellent software engineering skills
• Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
• Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
• Familiarity with data pipelines and workflow management tools
• Strong communication and collaboration skills
• Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering

equity and benefits