Avatar for AdaptiLab

B2B SaaS to help companies grow machine learning teams from hiring to productivity

Machine Learning Engineer

$140k – $180k • 0.1% – 1.0%
Apply now
About the role

AdaptiLab is currently helping one of our client companies find talented machine learning engineers. The company is looking for a talented, experienced ML engineer to help them scale quickly, smartly and nimbly. This role offers a unique opportunity to join an amazing team and grow your career at a high-growth startup in Seattle.


-Build machine learning products that help drive business
-Make thoughtful architectural decisions with limited information translating business requirements into machine learning products
-Communicate decision rationales, formulating project plans and delivering results
-Automating model comparison and feature selection to optimize performance
-Shipping code to staging and production environments multiple times a day
-Building data pipelines that allow the company to improve machine learning products and services
-Design and deploy efficient data services and stores

Who we're looking for:

-You have 3+ years experience leveraging machine learning to solve complex business problems
-You’re adaptable: You thrive in a fast-paced, ever-changing environment, and understand that the right solution and the perfect solution rarely coincide in startups
-Bonus: Masters or PhD in computer science or other STEM degree

You have some experience with:

-Python and SQL (Both required)
-Designing and deploying scalable production machine learning products
-Machine learning algorithms (Neural networks, gradient boosting) and model evaluation (cross validation, bias-variance trade-off)
-Architecting relational databases (PostgreSQL), NoSQL databases (MongoDB), and data warehouses
-Git and GitHub; software development workflows
-Managing deployment & operation of cloud services (AWS, Azure etc.)
-Big data tools (Kafka, Spark, HDFS)

More jobs at AdaptiLab

View all jobs

Demand Generation Manager - Marketing Lead

Apply now