Machine Learning Engineer: Real-Time, Planet-Scale ML

Moloco, Inc.; Menlo Park (CA); On-site; USD 197,600 - 420,000; Full time

Benefits offered by this job

Innovative benefits package

Professional development opportunities

Inclusive workplace culture

Job summary

A leading AI advertising solutions provider is seeking a Machine Learning Engineer to design, train, and deploy large-scale models that enhance programmatic advertising and commerce media products. The role involves working on real-time bidding systems, developing high-performance ML models, and translating business goals into clear modeling challenges. The ideal candidate will have significant experience in production machine learning and technical proficiency, particularly in Python and popular frameworks like TensorFlow. This position offers a competitive salary range of $197,600 - $420,000 USD, highlighting a strong commitment to employee growth and well-being.

Qualifications

• Experience delivering ML solutions in high-stakes production environments.
• Strong foundation in ML and statistics applied to business challenges.
• Deep understanding of the end-to-end ML lifecycle.
• Proficient in Python and other modern ML toolkits.
• Experience ensuring the health of ML systems in live environments.

Responsibilities

• Design, train, and deploy large-scale ML models.
• Architect and iterate on high-performance models.
• Productionize scalable ML pipelines.
• Extract insights from massive datasets.
• Translate business goals into modeling challenges.
• Validate innovation through rigorous experimentation.
• Enhance system reliability and drive platform evolution.

Skills

Production ML at Scale

Algorithmic Mastery

Full-Lifecycle Engineering

Technical Versatility

Operational Stewardship

Technical Mentorship

Languages (Python, Go, C++)

ML Frameworks (TensorFlow, PyTorch)

Education

5+ years of experience in Machine Learning

Tools

TensorFlow

PyTorch

SQL

Spark

Beam

Flink

Job description

A leading AI advertising solutions provider is seeking a Machine Learning Engineer to design, train, and deploy large-scale models that enhance programmatic advertising and commerce media products. The role involves working on real-time bidding systems, developing high-performance ML models, and translating business goals into clear modeling challenges. The ideal candidate will have significant experience in production machine learning and technical proficiency, particularly in Python and popular frameworks like TensorFlow. This position offers a competitive salary range of $197,600 - $420,000 USD, highlighting a strong commitment to employee growth and well-being.