Staff Machine Learning Engineer
Company: Intuit
Location: Mountain View
Posted on: February 24, 2021
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Job Description:
OverviewIn this role, you'll be embedded inside a vibrant team
of data scientists. You'll be expected to help conceive, code, and
deploy data science models at scale using the latest industry
tools. Important skills include data wrangling, feature
engineering, developing models, and testing metrics.- You can
expect to...What you'll bring-BS, MS, or PhD degree in Computer
Science or related field, or equivalent practical experience.6+
years of experience-Knowledgeable with Data Science tools and
frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow,
Keras, R, Spark).---Basic knowledge of machine learning techniques
(i.e. classification, regression, and clustering).Understand
machine learning principles (training, validation, etc.)Knowledge
of data query and data processing tools (i.e. SQL)Computer science
fundamentals: data structures, algorithms, performance complexity,
and implications of computer architecture on software performance
(e.g., I/O and memory tuning).Software engineering fundamentals:-
version control systems (i.e. Git, Github) and workflows, and
ability to write production-ready code.Experience deploying highly
scalable software supporting millions or more usersExperience with
GPU acceleration (i.e. CUDA and cuDNN)Experience with integrating
applications and platforms with cloud technologies (i.e. AWS and
GCP)Strong oral and written communication skills.- Ability to
conduct meetings and make professional presentations, and to
explain complex concepts and technical material to non-technical
usersHow you will lead-Discover data sources, get access to them,
import them, clean them up, and make them -machine learning
ready-.Work with data scientists to create and refine features from
the underlying data and build pipelines to train and deploy
models.Partner with data scientists to understand, implement,
refine and design machine learning and other algorithms.Run regular
A/B tests, gather data, perform statistical analysis, draw
conclusions on the impact of your models.Work cross functionally
with product managers, data scientists and product engineers, and
communicate results to peers and leaders.Explore new technology
shifts in order to determine how they might connect with the
customer benefits we wish to deliver.
Keywords: Intuit, Mountain View , Staff Machine Learning Engineer, Other , Mountain View, California
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