Software Engineer of Applied Machine Learning, Mastercard
Semantic Search, Natural Language Processing, Large Language Models - Priceless Platform
$138-221k
Global payments technology company
Open for applications
Global payments technology company
1001+ employees
Open for applications
$138-221k
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
- We are looking for an enthusiastic Software Engineer with a strong foundation in Machine Learning
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- 1–3 years of experience in software engineering or applied machine learning, ideally working with semantic search, LLMs, and transformer-based architectures
- Solid understanding of text preprocessing, embeddings, and language models, with experience or interest in applying them to real-world problems
- Exposure to frameworks like Langchain, Hugging Face, and other LLM-related libraries for model deployment, fine-tuning, or agent application development is a plus
- Strong programming skills in Python, including familiarity with libraries and tools such as scikit-learn, NLTK, PyTorch, TensorFlow, and Hugging Face
- Experience with cloud platforms (e.g., AWS, GCP) and deploying machine learning models at scale is a plus
- Excellent problem-solving, analytical, and debugging skills with a willingness to work in an environment where you're building foundational systems, rapidly prototyping solutions, and iterating toward production
- Ability to work collaboratively in a team environment and communicate complex technical concepts effectively
What the job involves
- Join our team and help drive the development and deployment of cutting-edge Applied Machine Learning capabilities into our platform
- You will work on exciting projects such as enhancing Semantic Search, Recommendations, boosting Text Processing and Translations, and potentially developing Conversational Interfaces
- The ideal candidate will be eager to quickly implement proofs of concept (PoCs) and contribute to taking them into production in an environment where innovation is key, and the systems are still evolving
- Contribute to rapidly prototyping PoCs and production-level code that implements solutions at scale. When appropriate, prioritize simple, effective methods to address business needs and iteratively build from there
- Explore and apply ML techniques like Semantic Search, to improve and scale the search functionality in our platform, using Elasticsearch, Vector Databases etc
- Design and implement scalable text and image content processing workflows, leveraging state-of-the-art NLP, Foundation Models, or LLM architectures (e.g., GPT, BERT, BART, MoE)
- Contribute to preparing training data and assist in fine-tuning LLMs and retrieval augmentation models for specific domain requirements
- Assist in designing and implementing Recommendation Systems, including developing and applying evaluation metrics to monitor, assess, and iteratively improve the performance of models
- Support efforts to optimize the performance of our models and recommendation systems for low latency, high throughput, and efficient resource usage
- Stay up to date with the latest advancements in ML/NLP/LLM research and incorporate relevant techniques to improve the functionality of the platform
- 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 at Welcome to the Jungle
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
Leadership
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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