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11 дней назад

Senior Machine Learning Engineer (AI)

137 093$
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
Senior Machine Learning Engineer (AI): Developing end-to-end machine learning solutions for pricing strategies, promotional effectiveness, demand forecasting, and optimization with an accent on deep learning, time-series forecasting, and production ML infrastructure. Focus on designing and deploying models using multimodal data, embeddings, retrieval systems, and generative AI/LLM applications.

Location: Onsite 5 days a week in Fremont, California, United States

Salary: US base salary of $137,093 per year; discretionary bonus, incentives, and benefits may be available.

Company

hirify.global is a US-based ethnic e-grocery company using local supplier partnerships, social buying, and data-driven technology to provide affordable access to ethnic food.

What you will do

  • Develop advanced machine learning models for pricing strategies, promotional effectiveness, demand forecasting, and optimization.
  • Build end-to-end solutions covering data exploration, model design, training, testing, deployment, monitoring, and maintenance.
  • Use unique data sources, analytical methods, machine learning, and statistical models to identify business opportunities.
  • Collaborate with cross-functional teams to introduce machine learning innovations and solve pricing and promotional planning challenges.
  • Improve revenue growth, profitability, and overall business efficiency through machine learning solutions.

Requirements

  • Bachelor’s degree in Information Science or a related field, or a foreign equivalent.
  • At least 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer, or in a machine learning-related position.
  • At least 2 years of professional experience in deep learning model design and architecture, traditional machine learning for production use cases, time-series forecasting and decision modeling, multimodal and unstructured data modeling, representation learning, embeddings and retrieval systems, generative AI/LLM applications, and production ML infrastructure and cloud deployment.
  • Any suitable combination of education, training, or experience may be accepted.

Culture & Benefits

  • Full-time onsite work in Fremont, California, five days per week.
  • Potential eligibility for discretionary bonuses, incentives, and benefits.
  • Compensation is determined by role, level, location, job-related skills, and experience.
  • Equal opportunity employment and reasonable accommodation support are provided.

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