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Description:
The Senior Machine Learning Engineer position at Enigma involves accelerating the build-out of machine learning capabilities to enhance entity resolution algorithms, predict small business behavior, and develop machine learning infrastructure.
The role requires building ML systems and infrastructure for the small business data product, focusing on performance, testability, and reliability.
Responsibilities include creating reusable frameworks, engineering solutions for data scientists to develop, test, explain, deploy, and monitor statistical models using PySpark, and managing the design and implementation of ML systems at scale.
The job offers technical challenges in building scalable ML systems, impact on significant decisions in the small business economy, and continuous learning opportunities with exciting data problems.
Requirements:
4+ years of software engineering experience with 2+ years building machine learning systems at scale.
Experience with distributed computing and building CI/CD tools, including tools like Spark, MLflow, and Pants.
Ability to collaborate with cross-functional partners such as data scientists, data engineers, and product managers to solve common problems.
Desire to work with customers to make a real-world impact.
Outstanding track record in designing and implementing machine learning systems.
Experience working as both a software engineer and a data scientist.
Benefits:
Competitive salary range of $160,000-$210,000.
Total compensation package includes additional benefits and opportunities.
Equity options for all Enigma employees to purchase ownership in the company.
Opportunity to work in a diverse and passionate team environment guided by core values of generosity, curiosity, ingenuity, and drive.
Equal opportunity workplace committed to diversity and inclusion.