Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$135к-185к/год
$120к$190кмедиана$230к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.4к/мес ($3.6к - $5.6к)
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В Company hidden это четко описанная senior-позиция в ML с ответственностью за production-системы и актуальные AI-задачи, хотя о структуре команды и приоритетах проектов сказано мало.
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Несовпадение уровняАктуальный ML-стекПолный цикл MLПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Machine Learning Engineer (AI): Building end-to-end machine learning systems for content and contributor intelligence across large textual and visual datasets with an accent on neural networks, large language models, computer vision, and multimodal embeddings. Focus on fine-tuning transformer models, productionizing automated Python pipelines, and deploying models for batch and real-time services.
Location: Hybrid across Canada; applicants may be based anywhere in Canada.
Salary: $135,000–$185,000 annually.
Company
hirify.global connects people with local businesses through a platform supported by machine learning and artificial intelligence.
What you will do
Conduct end-to-end analyses, including data wrangling with SQL or Python, statistical modeling, hypothesis development, and presentation of business ideas.
Work with large and complex textual and visual datasets for content and contributor intelligence.
Develop and deploy machine learning models for offline batch products and online real-time services.
Fine-tune transformer models to derive embeddings for text, images, and videos.
Productionize and automate model pipelines within Python services and contribute to the ML platforms supporting them.
Mentor junior and newer engineers while advocating best practices in machine learning development and operations.
Requirements
Experience developing and productionizing machine learning models, particularly neural networks, computer vision, and LLMs, including their supporting data pipelines.
Experience with machine learning packages including PyTorch, TensorFlow, Spark MLlib, XGBoost, and scikit-learn.
Strong coding skills in Python or an equivalent language such as Java or C++.
Solid understanding of engineering and infrastructure best practices.
Curiosity to identify solutions to new problems and persistence to carry ideas through to completion.
Nice to have
Experience working with LLMs, using LLM APIs such as OpenAI or Bedrock, prompt engineering, and model evaluation.
Culture & Benefits
Cooperative, collaborative engineering environment that values authenticity and creative problem-solving.
Support from managers, mentors, and teams to broaden individual impact and grow engineering skills.
Opportunity to deploy working code during the first week.
Five-star benefits package.
Hybrid work option available across Canada.
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