llmmachine learningdeep learninggenerative aitime series forecastingcloud deploymentpricing optimizationdecision modeling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$137к/год
$190к$220кмедиана$250к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.4к/мес ($3.6к - $6к)
48
Не очень вакансия
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Зарплата заметно ниже ориентира для senior ML-ролей, а обязательная работа в офисе и необычно широкий список требуемых специализаций снижают привлекательность вакансии.
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Ниже рынкаСлишком широкий профильТолько офисСовременный стекПотенциал роста
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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