Senior Machine Learning Engineer (Mailchimp)

A leading marketing platform for small businesses, part of Intuit's global financial technology platform.
$152,000 - $205,500
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Enterprise SaaS
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Description For Senior Machine Learning Engineer (Mailchimp)

Intuit Mailchimp, a leading marketing platform for small businesses and part of Intuit's global financial technology platform, is seeking a Senior Machine Learning Engineer to join their Data Engineering team. The role focuses on creating paved paths for classical machine learning patterns and large language model interactions, enabling AI-driven product features and data-informed business decisions. The team builds and maintains platforms providing access to analytical data and machine-learned predictions.

The ideal candidate will work in a hybrid environment, collaborating in person at either Atlanta or Brooklyn offices. They'll be responsible for developing ML patterns, managing container orchestration, and working closely with Data Science teams. The role requires expertise in Python, cloud architecture, and various ML tools.

This position offers competitive compensation ($152,000 - $205,500) and the opportunity to work with a company serving approximately 100 million customers worldwide. The successful candidate will contribute to Mailchimp's ML Platform capability, accelerating both classical ML patterns and LLM interactions.

Key technologies include Python, Kubernetes, SQL, along with ML libraries like sk-learn and PyTorch. The role demands someone who loves learning, asks questions, and collaborates effectively to build optimal solutions. This is an excellent opportunity for a senior engineer passionate about ML platforms and cloud architecture to make a significant impact in a growing fintech company.

Last updated 3 months ago

Responsibilities For Senior Machine Learning Engineer (Mailchimp)

  • Develop machine learning patterns for building and training classical machine learning models and interaction with large language models
  • Develop ingestion/pre-compute jobs using container orchestration tools (Airflow)
  • Collaborate with Data Science and Machine Learning teams to gather requirements and implement solutions
  • Iterate on Mailchimp's Prompt Management platform to accelerate LLM usage

Requirements For Senior Machine Learning Engineer (Mailchimp)

Python
Kubernetes
  • Bachelor's Degree in Computer Science, Machine Learning, Data Science, or equivalent experience
  • Experience with Python, Cloud Dev, Docker, Kubernetes, and popular ML libraries like sk-learn and PyTorch
  • Experience with ETL and distributed computing tools such as Spark, SQL
  • Passion for cloud engineering and platform development
  • Strong collaboration skills
  • Ability to interact with well-documented web APIs through scripting and code

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