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 solutions through AI and data science, focusing on algorithm development for addressable ad platforms.
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
Requirements:
- 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
- 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