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Staff Machine Learning Engineer

202 500 - 274 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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, United States

Base pay: $202,500–$274,000 per year, plus potential cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Partner with AI scientists to create features from underlying data and build pipelines for training and deploying models.
  • Build machine-learning-ready feature pipelines and implement machine learning algorithms.
  • Run A/B tests, analyze results, and assess the impact of deployed models.
  • Monitor and maintain production models supporting highly scalable applications.
  • Collaborate with product managers, AI scientists, and product engineers, presenting complex technical results to technical and non-technical audiences.
  • Evaluate emerging technologies and connect them to customer benefits.

Requirements

  • Bachelor’s, master’s, or PhD degree in Computer Science or a related field, or equivalent experience.
  • 7+ years of professional experience.
  • Experience with data science tools and frameworks such as Python, Scikit, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark.
  • Knowledge of machine learning techniques and principles, including classification, regression, clustering, training, and validation.
  • Knowledge of SQL and data processing, computer science fundamentals, Git workflows, and production-ready software development.
  • Experience deploying software for millions or more users and integrating applications with AWS or GCP.

Culture & Benefits

  • Cross-functional collaboration with product, engineering, and AI teams.
  • Competitive performance-oriented compensation.
  • Potential cash bonus, equity rewards, and employee benefits.

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