Sr ML Engineer

Visa•Foster City, CA

1d•$145,200 - $224,800•Hybrid

About The Position

We are looking for a Senior Machine Learning Engineer to join our Merchant Data Platform (MDP) AI/ML team, helping to build the next generation of an AI-powered merchant ecosystem. In this role, you will leverage cutting-edge machine learning and generative AI techniques to enhance merchant data, improve data quality, and unlock actionable insights that power critical business decisions across Visa’s global ecosystem.

Requirements

Strong experience building and deploying production-grade machine learning systems at scale
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar
Hands-on experience with distributed systems, big data technologies (e.g., Spark), and cloud platforms.
Solid understanding of ML fundamentals, including model evaluation, feature engineering, and data pipelines.
Experience with real-time inference systems, data pipelines, and MLOps tooling
Strong problem-solving skills with the ability to handle ambiguous, open-ended problems independently.
Excellent communication and collaboration skills, with the ability to work effectively across teams
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
Experience in developing and implementing AI/ML models and algorithms.
Experience in designing and building scalable machine learning pipelines.

Nice To Haves

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
Experience in collaborating with cross-functional teams to integrate AI/ML solutions.
Experience in collecting, preprocessing, and analyzing large datasets.
Experience in training and evaluating machine learning models.
Experience in modernizing legacy code and adopting emerging technologies.
Experience in acting as a design authority and shaping best practices within engineering teams.
Experience in communicating technical concepts to non-technical stakeholders.
Experience in leading multiple workstreams in AI application development.
Experience in generative AI and large language models (LLMs).
Experience in infrastructure automation development and enhancing productivity using LLM models.
Experience in developing robust and scalable products for cybersecurity.
Experience in conducting research and experimenting with new AI/ML techniques.
Experience in mentoring junior team members and leading implementations on key modules.

Responsibilities

Design, develop, and deploy scalable machine learning models and pipelines to enrich merchant data, including entity resolution, attribute inference, and data standardization
Build end-to-end ML solutions (data ingestion → feature engineering → model training → deployment → monitoring), ensuring high performance, reliability, and scalability
Apply advanced techniques such as NLP, LLMs, and probabilistic modeling to solve challenges like merchant name normalization, brand hierarchy mapping, and data deduplication
Partner closely with product managers, data engineers, and platform teams to translate business problems into ML-driven solutions and influence product direction
Develop and maintain data quality frameworks and observability systems to continuously monitor model performance, detect drift, and improve accuracy
Optimize models and systems for latency, throughput, and cost efficiency, especially in real-time and large-scale environments
Contribute to and improve MLOps practices, including CI/CD pipelines, feature stores, model lifecycle management, and experimentation frameworks
Mentor junior engineers, review designs/code, and help elevate the team’s technical standards and best practices