Senior Software Engineer of Applied Machine Learning Semantic Search, Mastercard
Natural Language Processing, Large Language Models - Priceless Platform
Global payments technology company
Open for applications
Global payments technology company
1001+ employees
Open for applications
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- You have 4+ years industry experience working on Natural Language and text based Machine Learning Technologies, such as Semantic Search, Natural Language Processing, Vector Databases, Foundation Models, or Large Language Models
- We are looking for you to bring additional Semantic Search Natural Language Processing (NLP) powered capabilities into our platform
- 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
What the job involves
- The Priceless Platform is Mastercard’s premier AWS hosted global platform for our customers and partners. Created by a Silicon Valley startup that Mastercard acquired, we are experiencing significant growth, and we are working to scale our platform
- We are seeking an hands-on software engineer to join our team and drive development and deployment of Applied Machine Learning capabilities into our platform, such as Semantic Search, improved Recommendations, improved Text processing and Translations, and possibly a conversational interface
- The successful candidate will apply ML based Semantic Search techniques, Natural Language Processing and Foundational models, large language models (LLMs), to build and deploy these in our platform
- 1. Explore and apply techniques like Semantic Search, to improve and scale the search functionality in our platform, using technologies like Elastic, etc
- 2. 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, such as GPT, Claude, Gemini, BERT, or other transformer-based architectures
- 3. Prepare high-quality training data or apply retrieval augmentation models to enhance the performance and accuracy of the systems
- 4. Fine-tune and customize the LLM models to adapt them to the specific domain requirements of our recommendation system
- 5. Develop and integrate evaluation metrics to continuously monitor and improve the performance of the recommendation engine
- 6. Optimize the recommendation system for low latency, high throughput, and efficient resource utilization
- 7. Stay up-to-date with the latest advancements in ML/NLP/LLM research and incorporate relevant techniques and models into the recommendation engine
- 8. Collaborate with cross-functional teams, including product managers and software engineers, to integrate the recommendation engine seamlessly into our website and applications
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist
Insights
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company values
- Trust - integrity, respect, openness
- Agility - urgency and value through innovation
- Partnership - working as one team for the benefit of all
- Initiative - taking bold and thoughtful actions
Company HQ
Purchase, Harrison, NY
Articles
Founders
Michael Miebach
(CEO, not founder)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
People progressing
Joined as VP in 2008, promoted 4 times in 11 years to their current position of Executive Vice President.
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