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Senior Machine Learning Engineer (AI)

171 000 - 231 500$
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

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TL;DR
Senior Machine Learning Engineer (AI): Designing and deploying scalable machine learning features, pipelines, and AI models with an accent on architecture, production engineering, and measurable customer impact. Focus on solving ambiguous technical problems, evaluating AI-assisted development practices, running A/B tests, and delivering reliable systems for millions of users.

Location: Mountain View, California, or San Diego, California

Base pay: $171,000–$231,500 in Mountain View; $154,000–$208,500 in San Diego.

Company

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

What you will do

  • Design, build, and deploy complex machine learning features, systems, and pipelines at scale.
  • Make architectural decisions, document reusable patterns, and promote testing, observability, and engineering best practices.
  • Solve ambiguous technical issues and evaluate modern AI-assisted development technologies.
  • Estimate and deliver major projects while managing technical risks, quality, and stakeholder communication.
  • Run A/B tests and statistical analyses to measure model and feature impact.
  • Partner with data scientists, product managers, designers, and product engineers to improve customer outcomes.

Requirements

  • BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of professional experience.
  • Experience with Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, or Spark.
  • Knowledge of classification, regression, clustering, machine learning principles, data structures, algorithms, performance complexity, and computer architecture.
  • Production software engineering experience with Git/GitHub and highly scalable systems supporting millions or more users.
  • Experience with GPU acceleration using CUDA or cuDNN and cloud platforms such as AWS or GCP, plus strong communication skills.

Culture & Benefits

  • Competitive compensation with performance-based rewards.
  • Potential eligibility for cash bonus, equity rewards, and employee benefits.
  • Cross-functional collaboration with product, design, engineering, and data/AI teams.
  • Regular pay comparisons across ethnicity and gender categories to support fair compensation.

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