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INSPYR Solutions · 2 months ago

Computer Vision/ Machine Learning Engineer

United States

Full-time

Remote

Mid, Senior Level

$90/hr - $109/hr

3+ years exp

INSPYR Solutions is a national expert in delivering flexible technology and talent solutions. They are seeking a Senior Software Engineer specializing in Machine Learning to drive innovation in advertising through AI and data science, focusing on developing machine learning algorithms for addressable ad platforms.

Information TechnologyProfessional ServicesStaffing Agency

No H1B

U.S. Citizen Only

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

Qualification

Machine LearningAI TechnologiesLarge Scale Data AnalysisJavaPythonScalaMLOpsInnovationPassion for TechnologyCollaboration

Required

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