Senior ML Engineer for Autonomous Ad Optimization

Tensec; San Francisco (CA); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Daily lunch

Relocation support

Comprehensive health, dental, and vision benefits

Unlimited PTO

Significant equity package

Job summary

Tensec is looking for a Machine Learning Engineer in San Francisco to build algorithms and optimization systems that drive their autonomous decision engine.

This role involves designing trading strategies, building execution layers, and deploying robust models that enhance ad spends efficiency. Candidates should have 4+ years of experience in machine learning and optimization, with a strong analytical background.

The position offers salary ranges from $160,000 to $240,000 and comprehensive benefits including relocation support.

Qualifications

• 4+ years of experience applying machine learning and optimization to real-world problems.
• Extensive experience deploying models into high-throughput production environments.
• Strong grasp of probability, statistics, and linear algebra.

Responsibilities

• Design and implement core trading algorithms and optimization strategies.
• Build the execution layer integrating with Meta, Google, and TikTok.
• Monitor model performance and ensure stability with changing market conditions.
• Develop simulation infrastructure for backtesting strategies.

Skills

Machine Learning

Optimization

Probability

Statistics

Tools

API

Python

Job description

Tensec is looking for a Machine Learning Engineer in San Francisco to build algorithms and optimization systems that drive their autonomous decision engine.

This role involves designing trading strategies, building execution layers, and deploying robust models that enhance ad spends efficiency. Candidates should have 4+ years of experience in machine learning and optimization, with a strong analytical background.

The position offers salary ranges from $160,000 to $240,000 and comprehensive benefits including relocation support.