Machine Learning Engineer with AdTech exp - NO H-1B or C2C

TechLink Resources, Inc; San Francisco (CA); Hybrid; USD 130,872 - 141,892; Full time

Job summary

A tech recruitment agency seeks a Machine Learning Engineer with AdTech experience in San Francisco. The ideal candidate will drive innovation by applying AI and machine learning to optimize the advertising lifecycle. You should have a Master's or PhD in computer science, with a minimum of 3 years' experience in large-scale machine learning. Proven proficiency in Java, Python, and Scala is essential, alongside a strong mathematical background. A flexible location is offered, with a pay range of $95.00/hr - $103.00/hr.

Qualifications

• At least 3 years of experience in large-scale machine learning at leading internet companies.
• Strong knowledge of AI/ML technologies and mathematics.
• Proficiency in Java, Python, Scala.

Responsibilities

• Drive innovation in AI and machine learning for ad optimization.
• Lead ad algorithm architecture and system iteration.
• Develop scalable approaches for data analysis and model development.

Skills

AI/ML technologies

Mathematics and statistics

Java

Python

Scala

Education

MS or PhD in computer science

Tools

TensorFlow

Kubeflow

SageMaker

Job description

Machine Learning Engineer with AdTech exp - NO H-1B or C2C

This role is offered by TechLink Resources, Inc. Your actual pay will be based on your skills and experience. The recruiter will provide additional details.

Base pay range

$95.00/hr - $103.00/hr

Direct message the job poster from TechLink Resources, Inc.

Computer Vision/ Machine Learning Engineer

Ad Platforms organization within Company Technology is fully responsible for building, enhancing, and maintaining a high-performance, distributed, microservice-based advertising platform across all of Company online properties. The team builds proprietary technology for ad serving, delivery, campaign management, reporting, and video advertising.

The research team focuses on transforming advertising using AI and data science, creating solutions to measure and optimize every aspect of the advertising life cycle. The team seeks a senior machine learning engineer to develop algorithms for addressable ad platforms.

Responsibilities:

• Drive innovation and apply state-of-the-art AI and machine learning to improve inventory forecasting, ad experience, pacing, pricing, targeting, and delivery.
• Invent and iterate novel solutions for complex ad challenges with fast turnaround.
• Lead the ad algorithm architecture design and system iteration.
• Develop scalable and efficient approaches for large-scale data analysis and model development.
• Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization.
• Collaborate with engineering teams, product managers, and program managers in an open, creative environment.

Basic Qualifications:

• MS or PhD (preferred) in computer science or equivalent experience.
• At least 3 years of experience on large-scale machine learning at leading internet companies; advertising domain experience is preferred.
• Strong knowledge of AI/ML technologies, mathematics, and statistics.
• Proficiency in Java, Python, Scala, and large-scale ML/DL platforms and processing tech stack.
• Passion for understanding the ad business and applying advanced research to relevant business scenarios, seeking innovation opportunities to enhance business effectiveness.
• Experience building data-driven services and applications in a fast-paced, collaborative environment.
• Track record of thriving in a data-driven, collaborative work setting.

Preferred Qualifications:

• Experience with CTR/CVR modeling, generative AI.
• Experience with feature store, audience segmentation, and MLOps.
• Experience with TensorFlow, Kubeflow, or SageMaker.

Required Education: MS/PHD preferred.

Additional Information: Location preferences: Santa Monica/Seattle/San Francisco. Fully remote is OK but must be near these locations.