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Senior Machine Learning Engineer
Intuit Mountain View, CA
$134k-172k (estimate)
Full Time | Specialty Trade in Construction 3 Weeks Ago
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Intuit is Hiring a Senior Machine Learning Engineer Near Mountain View, CA

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 testingmetrics.
What you'll bring
  • BS, MS, or PhD degree in Computer Science or related field, or equivalent practicalexperience.
  • 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, andclustering).
  • 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 andmemory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) andworkflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience 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 users
How 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 machinelearning 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

Job Summary

JOB TYPE

Full Time

INDUSTRY

Specialty Trade in Construction

SALARY

$134k-172k (estimate)

POST DATE

05/23/2024

EXPIRATION DATE

07/19/2024

HEADQUARTERS

LINCOLN, NE

SIZE

50 - 100

FOUNDED

2011

CEO

LESLIE ANDERSEN

REVENUE

$5M - $10M

INDUSTRY

Specialty Trade in Construction

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