Sr. Staff Machine Learning Engineer

Role Overview

We are seeking an experienced Senior Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth.

What You Will Do

Own the end-to-end lifecycle of machine learning projects, build, maintain, and optimize robust data pipelines, implement machine learning algorithms and models, collaborate with data scientists and engineers, and continuously monitor and improve model performance.

Why It Might Be a Fit

Candidates with domain expertise in areas like payment risk, fraud detection, or customer success are highly preferred, and expertise and familiarity with NLP models are considered an asset.

Requirements

• Master’s or Ph.D. in Computer Science, Engineering, or a related field
• 6+ years of experience as a Machine Learning Engineer
• Strong proficiency in Python, or similar programming languages, and experience with ML libraries like TensorFlow, PyTorch, and scikit-learn
• Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes)
• Proven track record of implementing end-to-end machine learning pipelines
• Strong background in model optimization, version control, and CI/CD practices for machine learning

Benefits

• Competitive medical, dental, and vision
• Company equity
• 401(k) plan with company match
• Unlimited paid time off + 13 company paid holidays
• Parental leave
• Free Flex subscription