Senior Data/Machine Learning Engineer

The Coca‑Cola Company

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$171,000–$198,000 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $184k
$152k most similar roles pay here $256k

This role pays less than 64% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $184k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 42 open roles on FindRole.

Listed pay typically runs $152,000–$178,300 across 41 roles with salary data.

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View all roles at The Coca‑Cola Company

At a glance

TL;DR · Senior Data/Machine Learning Engineer

As a Tech Lead specializing in Machine Learning and Data Engineering at The Coca-Cola Company, you will lead the technical direction for end-to-end ML capabilities within our product organization. Your role involves setting standards, unblocking teams, and driving execution across the ML stack without formal people-management responsibilities. You’ll work closely with Product, Design, Data Science/Analytics, and platform teams to define success metrics and guide solutions from data modeling through model deployment and monitoring. Key technologies include Python, SQL, PyTorch/TensorFlow, Spark, dbt, Airflow/Dagster, and Kubernetes. The role requires 6+ years of experience in ML engineering or software engineering with a focus on production practices and MLOps fluency. You will build data products that model transaction drivers and optimize actions across retail, foodservice, and digital channels, aiming for measurable transaction lift at the point of sale.

What you'll do

  • Lead technical direction for end-to-end ML capabilities in product development.
  • Ensure data foundations are reliable and scalable through event definitions and pipeline management.
  • Deploy production ML systems with attention to latency, reliability, and cost efficiency.
  • Implement monitoring strategies for model performance and upstream data quality.
  • Define and enforce engineering standards for ML and data workflows.

What we're looking for

  • 6+ years of experience in machine learning engineering or data engineering, including leading technical direction.
  • Strong programming skills in Python and SQL with production practices like testing, reviews, CI/CD.
  • Experience shipping and operating ML systems in production, including model monitoring and rollback strategies.
  • Familiarity with MLOps tools and data platforms such as feature stores, deployment infrastructure, and orchestration tools.
  • Demonstrated ability to mentor engineers, set technical standards, and align stakeholders on tradeoffs.

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