Staff Machine Learning Engineer

TL;DR

Staff Machine Learning Engineer: Create AI-powered experiences by building data pipelines, developing and deploying ML models at scale with an accent on feature engineering, algorithm implementation, and machine learning operations. Focus on running A/B tests, monitoring production models, and exploring new technology shifts for customer benefits.

Location: Mountain View, California or Plano, Texas

Salary: Bay Area $202,500–$274,000; Plano, TX $178,500–$241,500

Company

Global financial technology platform powering prosperity for millions with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Work with AI scientists to create features from data and build pipelines for training and deploying models.
• Build machine learning ready feature pipelines.
• Implement, refine, and design machine learning algorithms.
• Run A/B tests, analyze data, and evaluate model impact.
• Monitor and maintain production models.
• Collaborate cross-functionally with product managers, AI scientists, and engineers to communicate results.

Requirements

• BS, MS, or PhD in Computer Science or related field, or equivalent experience.
• 7+ years of experience
• Knowledge of Data Science tools (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, Spark).
• ML techniques (classification, regression, clustering) and principles (training, validation).
• Data query and processing (SQL).
• CS fundamentals (data structures, algorithms) and software engineering (Git, production code).
• Experience deploying scalable software for millions of users and cloud integration (AWS, GCP).
• Strong communication skills

Culture & Benefits

• Competitive compensation with pay for performance, cash bonus, equity, and benefits.
• Regular pay equity comparisons across ethnicity and gender.