Relentless Talent ยท 1 day ago
Sr Software Engineer - Stealth AI & ML startup
Relentless Talent is a fast-growing data platform startup based in New York City, seeking key engineers for their Data Platform Engineering and Machine Learning teams. The role involves building and maintaining production cloud data pipelines and implementing complex machine learning models in a collaborative environment.
Responsibilities
Strong experience with high level systems architecture & pushing it into a go live production environment - you also have the ability to talk about architecture decisions you have made that did not perform as well as planned & discuss what you learned
Build distributed systems supporting complex transformations
Design, implement, and maintain production cloud data pipelines for complex datasets
Build ETL pipelines
Experience building and implementing complex machine learning models in a production environment & strong experience using data built tools
Ideally you have a strong scientific background with heavy experience in statistics
You have built complex intuitive Language Learning Models in a complex production environment for large data processing environments
The ability to partner with internal Applied Scientists working on rapid experimentation for new product initiatives!
In this role you will work directly with the Founder / CTO - you will be building the machine learning environment for growth!
Qualification
Required
Proven experience writing clean, not over engineered, efficient code
Strong ability to problem solve & be incredibly detail oriented
Experience with alternative datasets that are private, public and petabyte-scale data
Core tech stack experience with Python, SQL, Snowflake and AWS
Engineering experience with design patterns, OOP, and concurrency
Strong software engineering fundamentals: system design, algorithms, data structures & data storage principles
Strong experience with high level systems architecture & pushing it into a go live production environment
Ability to discuss architecture decisions made that did not perform as well as planned & discuss what was learned
Experience building distributed systems supporting complex transformations
Design, implement, and maintain production cloud data pipelines for complex datasets
Build ETL pipelines
Experience building and implementing complex machine learning models in a production environment
Strong experience using data built tools
Strong scientific background with heavy experience in statistics
Built complex intuitive Language Learning Models in a complex production environment for large data processing environments
Ability to partner with internal Applied Scientists working on rapid experimentation for new product initiatives