Intuit
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Machine Learning Engineer 2
role at
Intuit
Overview Embedded inside a vibrant team of data scientists, you’ll conceive, code, and deploy data science models at scale using industry tools. Key skills: data wrangling, feature engineering, model development, and metric testing.
Responsibilities
Discover data sources, grant access, import, clean, and prepare them for machine learning.
Partner with data scientists to create and refine features, build training pipelines, and deploy models.
Run A/B tests, gather data, perform statistical analysis, and draw conclusions on model impact.
Collaborate cross‑functionally with product managers, data scientists, and product engineers to communicate results to peers and leaders.
Explore technology shifts and determine how they connect with customer benefits.
Qualifications
BS, MS, or PhD in Computer Science or related field, or equivalent practical experience.
Knowledgeable with data science tools and frameworks (Python, scikit-learn, NLTK, NumPy, pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (classification, regression, clustering).
Experience building prototype ML models, productionalizing prototypes, and enhancing model performance.
Strong problem‑solving and communication skills.
Compensation & Benefits Intuit offers a competitive compensation package with a strong pay‑for‑performance approach. Eligible for cash bonus, equity rewards, and benefits. Pay ranges: Bay Area, CA: $137,500 – $186,500 Southern California, CA: $124,500 – $168,500 New York, NY: $136,000 – $184,000
Location Sunnyvale, CA; active hiring;
intuit.com/careers
#J-18808-Ljbffr
Machine Learning Engineer 2
role at
Intuit
Overview Embedded inside a vibrant team of data scientists, you’ll conceive, code, and deploy data science models at scale using industry tools. Key skills: data wrangling, feature engineering, model development, and metric testing.
Responsibilities
Discover data sources, grant access, import, clean, and prepare them for machine learning.
Partner with data scientists to create and refine features, build training pipelines, and deploy models.
Run A/B tests, gather data, perform statistical analysis, and draw conclusions on model impact.
Collaborate cross‑functionally with product managers, data scientists, and product engineers to communicate results to peers and leaders.
Explore technology shifts and determine how they connect with customer benefits.
Qualifications
BS, MS, or PhD in Computer Science or related field, or equivalent practical experience.
Knowledgeable with data science tools and frameworks (Python, scikit-learn, NLTK, NumPy, pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (classification, regression, clustering).
Experience building prototype ML models, productionalizing prototypes, and enhancing model performance.
Strong problem‑solving and communication skills.
Compensation & Benefits Intuit offers a competitive compensation package with a strong pay‑for‑performance approach. Eligible for cash bonus, equity rewards, and benefits. Pay ranges: Bay Area, CA: $137,500 – $186,500 Southern California, CA: $124,500 – $168,500 New York, NY: $136,000 – $184,000
Location Sunnyvale, CA; active hiring;
intuit.com/careers
#J-18808-Ljbffr