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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Senior Machine Learning Engineer
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Machine Learning Engineer, Security AI
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Square California, United StatesFull-time · Company Description · It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Af ...
Sr. Staff Machine Learning Engineer - California, United States - Zscaler
Description
Job Description
At the Premier Cloud Security Provider, we are working with the massive scale of network data, security data, and enterprise data every day.
We are seeking out engineers with a passion to build out tools and platforms, process and analyze data at scale, and solve real-world business problems.
As a software engineer for our Machine Learning platform, you have three main responsibilities:
You will architect, build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving.
You will apply analytical and math/statistics skills to stay on top of data and to ensure results are coherent and reliable.
Required Skills:
5+ years of prior work experience as a ML platform engineer
Very strong algorithm and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
Very strong Python and SQL scripting skills
Solid experience using distributed data processing such as Spark, BigQuery or Apache Beam
Experience with event messaging such as Kafka, RabbitMQ, etc.
Experience working with Docker, Kubernetes
Ability to learn, evaluate and adopt new technologies
BS Degree in Computer Science or related field
Desirable Skills:
Experience with setting up SQL/NoSql database such as Postgres, MongoDB, Redis, and table schema
Experience with ML automation platforms such as Kubeflow, Airflow or MLFlow
Experience with data serialization techniques and data stores for persisting events
Experience with Google cloud (or other public cloud)
Experience with building quality software by writing robust interfaces, considering design principles, and applying sound testing practices
Ability to lead and execute projects from start to finish
Knowledge of NLP/Text mining techniques and related open-source tools
Familiarity with networking and networking security
Excellent interpersonal, technical, and communication skills
Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields from a reputed university (Ph.
D. a plus)
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