Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) Priceless Platform

Mastercard - San Francisco, CA

Part-time - Mid Level

San Francisco, CA

Credit Intermediation and Related Activities

About the position

The Senior Software Engineer, Applied Machine Learning role at Mastercard focuses on enhancing the Priceless Platform through the development and deployment of advanced machine learning capabilities, particularly in Semantic Search and Natural Language Processing (NLP). The position requires a hands-on approach to improve search functionality, text processing, and recommendation systems using state-of-the-art technologies and models. The successful candidate will collaborate with cross-functional teams to integrate these capabilities into the platform, ensuring scalability and performance optimization.

Responsibilities

• Explore and apply techniques like Semantic Search to improve and scale the search functionality in our platform, using technologies like Elastic.
• Design and implement a scalable text processing flow that improves and scales our text and image content processing workflows, using state-of-the-art NLP, Foundation or LLM models.
• Prepare high-quality training data or apply retrieval augmentation models to enhance the performance and accuracy of the systems.
• Fine-tune and customize the LLM models to adapt them to the specific domain requirements of our recommendation system.
• Develop and integrate evaluation metrics to continuously monitor and improve the performance of the recommendation engine.
• Optimize the recommendation system for low latency, high throughput, and efficient resource utilization.
• Stay up-to-date with the latest advancements in ML/NLP/LLM research and incorporate relevant techniques and models into the recommendation engine.
• Collaborate with cross-functional teams, including product managers and software engineers, to integrate the recommendation engine seamlessly into our website and applications.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 4+ years proven industry experience working with Semantic Search (Elastic), Natural Language Processing, large language models (LLMs), transformer architectures, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of natural language processing (NLP) techniques, including text preprocessing, embeddings, and language models.
• Experience with retrieval augmentation models and their application in recommendation systems or related domains.
• Strong programming skills in Python and familiarity with relevant libraries and tools (e.g., Hugging Face, NLTK, scikit-learn).
• Knowledge of cloud computing platforms (e.g., AWS, GCP) and experience deploying and scaling AI/LLM models.
• Excellent problem-solving, analytical, and debugging skills.
• Ability to work collaboratively in a team environment and communicate complex technical concepts effectively.

Benefits

• Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave)
• 10 annual paid sick days
• 10 or more annual paid vacation days based on level
• 5 personal days
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement
• Gender-inclusive benefits