обновлено 6 дней назад
Senior Machine Learning Engineer (AI)
171 000 - 231 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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