Staff Machine Learning Engineer

Intuit Inc.

Mountain View, CA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

$197,000.0 - $266,500.0

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

A/B Testing Amazon Web Services Application Integration Architecture Cloud Computing Nvidia CUDA Data Structures Github R (Programming Language) Python (Programming Language) Machine Learning NLTK (NLP Analysis) NumPy

+11 more

Tensorflow SQL Databases Data Processing Apache Spark Keras Git Pandas Scikit Learn Production Code Software Performance Software Version Control

Job description

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.

Requirements

BS, MS, or PhD degree in Computer Science or related field, or equivalent work 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 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

Benefits & conditions

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers

Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area,CA: $197,000 - $266,500.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.