Applied ML Scientist — Advertising Optimization (Remote)

Jobgether; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first environment

Healthcare benefits

Paid time off

Professional development opportunities

WeWork global options

Job summary

Jobgether is seeking an Applied Machine Learning Scientist for a remote-first role based in the United States. You will develop and deploy ML solutions to optimize advertising performance, tackle large-scale data challenges, and collaborate with engineers to deliver production-ready models.

Ideal candidates have advanced degrees, strong ML expertise, and a history of translating research into high-impact applications in a fast-paced data environment.

Qualifications

• Advanced degree in a quantitative field with strong research background.
• Proficiency applying ML concepts to real-world problems.
• Experience with large-scale data and production ML systems.

Responsibilities

• Develop and deploy ML models to optimize advertising performance.
• Prototype algorithms and data pipelines; test with historical data.
• Collaborate with engineers to productionize models at scale.

Skills

ML expertise

Statistics & optimization

Programming

Experimentation & prototyping

Production-grade coding

Algorithms & data structures

Education

Master’s or PhD in CS/Statistics/OR

Tools

Python

TensorFlow/PyTorch

SQL

Job description

Jobgether is seeking an Applied Machine Learning Scientist for a remote-first role based in the United States. You will develop and deploy ML solutions to optimize advertising performance, tackle large-scale data challenges, and collaborate with engineers to deliver production-ready models.

Ideal candidates have advanced degrees, strong ML expertise, and a history of translating research into high-impact applications in a fast-paced data environment.