- Drive ground-breaking innovation and apply state of the art machine learning statistics or analytics in a variety of areas to boost platform in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
- Invent and iterate novel solutions to challenging ad related problems in fast turn around
- Develop scalable and efficient methods for large scale data analysis and model development.
- Build and experiment 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 on 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 and 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.
- 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
- 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.
Machine Learning Engineer - Los Angeles, United States - aKUBE
Description
City:
LA/ Seattle. The team works in West Coast Hours - 5 PST.
Duration:
24 months
Rate Range:
$ 114/hr on
W2
depending on experience (no C2C or 1099 or sub-contract)
Work Authorization:
GC, USC, All valid EADs except H1b
Description:
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, 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, microservices to data visualization.
Our team is seeking a lead machine learning engineer who will be an outstanding addition and leading 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 someone who is proactive, inquisitive, and innovative in either these domains, this is a phenomenal role for you.
WHAT YOU'LL DO:
NICE-TO-HAVES:
Required Education:
BA/BS Degree
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