Senior ML Engineer - Real-Time Bidding & Scalable DL

Jampp

United States

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Parental leave
Extended holidays
Remote onboarding
Team activities
Global team exposure

Job summary

Jampp, a leading mobile advertising platform, is hiring a Senior Machine Learning Engineer to own critical parts of our architecture. You will work on a machine-learning platform that predicts in under 20 milliseconds which banner and price to bid for an auction, directly impacting Jampp’s economics and client app performance.

You’ll join a cross-functional team of data scientists, data engineers and software engineers, contributing creatively to features and ensuring scalability, availability

Qualifications

  • 5+ years hands-on experience building software in Python.
  • Excellent engineering and strong CS fundamentals; production-quality coder.
  • Experience with ML technologies and model training pipelines.
  • Proficient in writing production-ready, scalable code.
  • Experience with AWS; Kubernetes is a plus.
  • Good SQL and database knowledge; Trino SQL is a plus.
  • Ability to work independently and with others; strong ownership and urgency.
  • Strong English communication, both written and verbal.

Responsibilities

  • Design, code and deploy scalable features for a massive ML-driven bidding system.
  • Visualize statistics of model performance.
  • Evaluate ML models balancing accuracy and scalability.
  • Adapt ML methods for parallel environments.
  • Collaborate with data scientists/engineers to build distributed systems.
  • Work autonomously and drive features from concept to production.
  • Learn and teach state-of-the-art ML technologies.

Skills

Python
CS fundamentals
ML experience
SQL
English communication

Tools

AWS
Kubernetes
Trino SQL

Job description

Jampp, a leading mobile advertising platform, is hiring a Senior Machine Learning Engineer to own critical parts of our architecture. You will work on a machine-learning platform that predicts in under 20 milliseconds which banner and price to bid for an auction, directly impacting Jampp’s economics and client app performance.

You’ll join a cross-functional team of data scientists, data engineers and software engineers, contributing creatively to features and ensuring scalability, availability

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