Machine Learning Engineer

4 days ago

San Francisco, California, United States TechLink Resources, Inc Full time $120,000 - $200,000 per year

Computer Vision/ Machine Learning Engineer

Ad Platforms organization within Company Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Company online properties. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business.

The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Company's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science. Our team is seeking a senior machine learning engineer who will be an outstanding addition and focusing on machine learning algorithm development for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you

Responsibilities:


• Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.


• Invent and iterate novel solutions for complex ad challenges with fast turnaround.


• Lead the ad algorithm architecture design and iteration of the advertising system.


• Develop scalable and efficient approaches for large scale data analysis and model development.


• Build and experiment 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 and creative environment.

Basic Qualifications:


• MS or PhD(preferred) in computer science or equivalent experience


• At least 3 years of working experience on large scale machine learning at leading internet companies. Experience in the advertising domain is preferred.


• Strong knowledge of AI/ML technologies, mathematics and statistics.


• Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.


• Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.


• Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.


• A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications (NICE-TO-HAVES)


• Experience in digital video advertising or digital marketing domain


• Experience with CTR/CVR model, generative AI.


• Experience with feature store, audience segmentation and MLOps


• Experience with Tensorflow, Kubeflow or Sagemaker

Required Education:
MS/PHD is preferred

Additional Information:
Location Preferences: Santa Monica/Seattle/San Francisco

Fully Remote is OK but must be near these locations.

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