Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) – Priceless Platform
Are you a talented Senior Software Engineer with a passion for applied machine learning and a desire to work on cutting-edge projects? Look no further! Mastercard, a global leader in the financial technology industry, is seeking a Senior Software Engineer to join our Priceless Platform team. In this role, you will have the opportunity to utilize your skills in semantic search, natural language processing (NLP), and large language models to develop innovative solutions that will shape the future of our platform. As a key member of our team, you will work closely with cross-functional teams to drive the development and implementation of these advanced technologies. If you are a highly skilled and motivated individual with a strong background in machine learning and a desire to make a significant impact in the industry, we want to hear from you!
- Develop and implement cutting-edge machine learning solutions for the Priceless Platform team.
- Utilize skills in semantic search, natural language processing (NLP), and large language models to create innovative solutions.
- Collaborate with cross-functional teams to identify and prioritize areas for machine learning implementation.
- Contribute to the development of advanced technologies that will shape the future of the Mastercard platform.
- Stay updated on industry trends and advancements in machine learning, and apply this knowledge to improve the platform.
- Work closely with product managers, data scientists, and engineers to ensure the timely and successful delivery of projects.
- Take ownership of machine learning projects from conception to deployment, ensuring high quality and performance.
- Participate in code reviews, provide constructive feedback, and mentor junior team members.
- Identify and troubleshoot complex technical issues and provide effective solutions.
- Communicate effectively with stakeholders, presenting technical concepts and ideas in a clear and concise manner.
Advanced Degree In Computer Science Or Related Field: A Senior Software Engineer In Applied Machine Learning At Mastercard Should Possess An Advanced Degree In Computer Science Or A Related Field, Such As Artificial Intelligence, Data Science, Or Software Engineering. This Will Ensure A Strong Foundation In Core Concepts And Principles Of Machine Learning And Natural Language Processing.
Extensive Experience In Semantic Search And Nlp: The Ideal Candidate Should Have A Minimum Of 5 Years Of Hands-On Experience In Developing And Deploying Applied Machine Learning Systems, Specifically In The Areas Of Semantic Search And Natural Language Processing. This Experience Will Demonstrate A Deep Understanding Of Advanced Techniques And Algorithms In These Domains.
Proficiency In Large Language Models: As A Senior Software Engineer, The Candidate Should Have A Strong Background In Working With Large Language Models, Such As Bert, Gpt-3, And Transformer-Based Architectures. This Expertise Will Enable Them To Effectively Leverage These Models To Build State-Of-The-Art Solutions For Mastercard's Priceless Platform.
Strong Programming Skills: Proficiency In Programming Languages Such As Python, Java, And C++ Is Essential For A Senior Software Engineer In Applied Machine Learning. The Candidate Should Have Experience In Developing Scalable And Efficient Code, As Well As The Ability To Debug And Optimize Machine Learning Models.
Experience With Data Engineering And Big Data Technologies: A Senior Software Engineer At Mastercard Should Have Experience With Data Engineering, Including Data Pipelines, Data Storage, And Data Processing. In Addition, Knowledge Of Big Data Technologies Like Hadoop, Spark, And Nosql Databases Will Be Beneficial For Handling Large Datasets And Building Robust Machine Learning Pipelines.
Data Analysis
Machine Learning
Deep Learning
Artificial Intelligence
Algorithm development
Statistical modeling
Text mining
Natural Language Processing (NLP)
Predictive
Large Language Models
Semantic Search
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) – Priceless Platform in San Francisco, CA 94105, USA is $150,000-$200,000 per year. However, this can vary depending on the specific company, years of experience, and other factors such as education and skills. Some top companies in this field in San Francisco, CA include Google, Facebook, and Amazon, which may offer higher salaries.
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Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.
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