Computer Vision/ Machine Learning Engineer (Los Angeles, CA) - ScaleneWorks LLP
Los Angeles County, CA 91326
About the Job
Ad Platforms organization is fully responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of online properties. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, and 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 Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenet is to build a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, and microservices to data visualization. Our team is seeking a lead machine learning engineer who will be an outstanding addition and lead development for prediction or optimization engines 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 proactive, inquisitive, and innovative in either of these domains, this is a phenomenal role for you.
WHAT YOU'LL DO:
Drive ground-breaking innovation and apply state-of-the-art machine learning statistics or analytics in a variety of areas to boost the platform in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisions, and efficient ad delivery.
Invent and iterate novel solutions to challenging ad-related problems in a fast turnaround
Develop scalable and efficient methods for large-scale data analysis and model development.
Build and experiment with brand new algorithms and models e2e throughout production rollout and continuous optimization.
Collaborate with engineering teams, program managers, and product managers in an open, and creative environment.
MS or PhD in computer science or EE
4+ years of working experience on machine learning, and statistics in leading internet companies. Experience in the advertising domain is preferred.
Solid understanding of ML technologies, mathematics, and statistics.
Proficient with Java, Python, Scala, Spark, SQL, large-scale ML/DL platforms, and processing tech stack.
Passion to understand the ad business, apply accurate research study according to the business scenario, and seek innovation opportunities to enhance business effectiveness
Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
A proven track record of thriving in a fast-paced, data-driven, collaborative, and iterative applied research environment is required
Mentor team members, and guide their technical development
NICE-TO-HAVES:
Experience in digital video advertising or digital marketing domain
Experience with feature store, audience segmentation, and MLOps
Experience with PyTorch, Tensorflow, Kubeflow, Sagemaker, or Databricks.
Required Education:
BA/BS Degree
Employment Type: Contractor
Salary: $ 55.00 70.00 Per Hour
WHAT YOU'LL DO:
Drive ground-breaking innovation and apply state-of-the-art machine learning statistics or analytics in a variety of areas to boost the platform in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisions, and efficient ad delivery.
Invent and iterate novel solutions to challenging ad-related problems in a fast turnaround
Develop scalable and efficient methods for large-scale data analysis and model development.
Build and experiment with brand new algorithms and models e2e throughout production rollout and continuous optimization.
Collaborate with engineering teams, program managers, and product managers in an open, and creative environment.
MS or PhD in computer science or EE
4+ years of working experience on machine learning, and statistics in leading internet companies. Experience in the advertising domain is preferred.
Solid understanding of ML technologies, mathematics, and statistics.
Proficient with Java, Python, Scala, Spark, SQL, large-scale ML/DL platforms, and processing tech stack.
Passion to understand the ad business, apply accurate research study according to the business scenario, and seek innovation opportunities to enhance business effectiveness
Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
A proven track record of thriving in a fast-paced, data-driven, collaborative, and iterative applied research environment is required
Mentor team members, and guide their technical development
NICE-TO-HAVES:
Experience in digital video advertising or digital marketing domain
Experience with feature store, audience segmentation, and MLOps
Experience with PyTorch, Tensorflow, Kubeflow, Sagemaker, or Databricks.
Required Education:
BA/BS Degree
Employment Type: Contractor
Salary: $ 55.00 70.00 Per Hour
Source : ScaleneWorks LLP