Remote ML Ads Engineer: Rank, CTR & Revenue Impact

United States Digital Space LLC; United States; Remote; USD 190,000 - 275,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

Equity refreshers

Remote work reimbursement

Job summary

the company is a remote-first company building a global knowledge platform and AI workspace. We are seeking an experienced Machine Learning Engineer to join the Ads ML team as an ads ranking specialist.

You will own end-to-end ML work from data pipelines to model deployment, aiming to improve CTR/CVR and advertiser value. You will work with Python, PyTorch or TensorFlow, and collaborate with product and data science teams to ship improvements in production while balancing latency and cost.

Qualifications

• 4+ years of professional software development experience in machine learning.
• Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration, with demonstrated ownership of production improvements.
• Experience evaluating ranking models through offline analysis and online experiments, including investigating discrepancies between model metrics and business outcomes.
• Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow.
• Good understanding of mathematical foundations of machine learning algorithms.
• Strong Python programming skills and experience writing maintainable production ML code.
• Proficient coding ability writing Python.
• BS, MS or PhD in Computer Science, Engineering or a related technical field.

Responsibilities

• Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, training-data construction and model evaluation, model training, as well as integration into our production systems.
• Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production latency, reliability, and cost constraints.
• Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment.
• Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance.
• Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers.

Skills

Python

PyTorch

TensorFlow

CTR/CVR prediction

ML deployment

Production ML

Education

BS, MS or PhD in Computer Science/Engineering

Tools

Airflow

Docker

Kubernetes

Job description

the company is a remote-first company building a global knowledge platform and AI workspace. We are seeking an experienced Machine Learning Engineer to join the Ads ML team as an ads ranking specialist.

You will own end-to-end ML work from data pipelines to model deployment, aiming to improve CTR/CVR and advertiser value. You will work with Python, PyTorch or TensorFlow, and collaborate with product and data science teams to ship improvements in production while balancing latency and cost.