Staff Machine Learning Engineer

Visa • Austin, TX

430d • Hybrid

About The Position

The Staff ML Engineer will play a crucial role in the AI Experimentation Platform (AIEP) team at Visa, focusing on developing advanced machine learning solutions to enhance product performance and tackle business challenges. This position involves designing, building, and implementing machine learning pipelines and workflows, contributing to Visa's commitment to harnessing AI for strategic growth and operational efficiency.

Requirements

• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
• Experience programming in at least one or more languages such as Java, Python, Scala, and Go.
• Experience with MySQL and NoSQL databases such as Cassandra, including data model design, cluster setup, and performance tuning.
• Hands-on experience with web service standards and related patterns (REST, gRPC).

Nice To Haves

• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
• Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx).
• Knowledge and experience working on Single Page Applications development using Angular or similar framework.

Responsibilities

• Develop platforms, applications, and solutions powered by machine learning to tackle business challenges and enhance product performance.
• Write high-quality, efficient, testable code using programming languages such as Java, Python, Rust, JavaScript, and/or Scala.
• Implement machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation.
• Drive the development effort end-to-end for timely delivery of high-quality solutions that conform to requirements and architectural vision.
• Collaborate with senior technical staff and Project Managers to identify, document, plan contingency, track and manage risks and issues until all are resolved.
• Present technical solutions, capabilities, considerations, and features in business terms.
• Effectively communicate status, issues, and risks in a detailed and timely manner.

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree