#Job application wizard how to
#Job application wizard series

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Experience starting large analytical projects, and collaborating with teams across geographies and functions.

Ability to ramp up quickly on our tech stack which includes GCP, Kubernetes, Airflow, Pandas, Scikit Learn, PyTorch, Python, and Node.js.

Practical experience with large data systems, data models, and data pipelines, and data engineering frameworks like Apache Spark.

#Job application wizard how to

Exceptional understanding of how to design ML systems in production at scale and applying quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs.Experience solving problems using Machine Learning with Tensorflow, PyTorch, Keras, or equivalent tools.Experience developing data science / machine learning-driven products at scale.MS/PhD in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering.Effectively communicate complex findings in a concise, structured, and clear manner to a non-technical audience.Create a world class platform for training, hosting and maintaining ML models and shape how Wizard develops, tests and maintains ML-platform solutions.Design elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale.Collaborate with other teams, including the data infrastructure, product and design, and platform engineering teams, as well as NLP scientists and computational linguists.Formulating and framing problems in conversational UX and knowledge extraction into well-defined ML problems develop and apply cutting-edge ML approaches and scale them to data pipelines and streamline them to run in production in real time.With the aid of unprecedented market opportunity and the inflection point of advances of the language technologies, we are aiming at forever transforming how people experience shopping.

You will be responsible for building machine learning flows and guide the implementation, parameter tuning, deploying and serving models, and will be working closely with AI and NLP scientists, computational linguistics and knowledge representation experts, data engineers and product managers. You will play an instrumental role in solving challenging problems around language understanding, dialog systems, knowledge representation and information extraction. We’re quickly scaling our team and technology and seeking passionate and growth-minded tech talent to join the ride.

#Job application wizard series

Wizard is backed by Marc Lore and a $50M Series A from top tech VCs.