pythonllmmachine learningpytorchdeep learningjaxretrieval augmented generationdistributed trainingresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$100к/год
$120к$130кмедиана$170к
По похожим ролям (9) ~ $130к/год
45
Не очень вакансия
развернуть
Стек технологий максимально актуальный, а роль описана четко, но зарплата существенно ниже рыночной медианы для senior AI специалиста с PhD и опытом 6+ лет.
AI Scientist (Machine Learning): Designing and shipping advanced machine learning systems from research prototypes to robust production pipelines with an accent on deep learning, model evaluation, and scalable engineering. Focus on training and fine-tuning models at scale, adapting current research techniques, and building distributed, observable systems with appropriate safeguards.
Location: 100% remote within the United States
Salary: $100,000 annually
Company
hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
Design and ship advanced machine learning systems for high-impact business problems.
Bridge applied AI research and production engineering across the full lifecycle, from problem framing and experimentation to deployment and continuous improvement.
Train, fine-tune, and evaluate deep learning models at non-trivial scale.
Build robust, scalable, and well-instrumented production pipelines with appropriate observability and safeguards.
Evaluate current research techniques and adapt them for real-world applications.
Communicate complex AI and machine learning methods clearly in written and verbal form.
Requirements
Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
6+ years of combined research and applied machine learning engineering experience.
Strong proficiency in Python and modern machine learning frameworks such as PyTorch or JAX.
Strong foundation in mathematics, statistics, and the theoretical foundations of modern machine learning.
Experience with distributed training, mixed-precision training, accelerator hardware, and taking research prototypes into production.
Must be a U.S. Citizen, Green Card Holder, EAD Holder, or H-1B transfer candidate; new H-1B visa petitions cannot be sponsored.
Nice to have
Published research at top-tier AI or machine learning venues.
Experience with large language model training, fine-tuning, or evaluation.
Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
Exposure to responsible AI, model evaluation, and alignment practices.
Experience contributing to open-source machine learning projects.
Culture & Benefits
Full-time direct W-2 employment.
Fully remote work within the United States.
Established organization with opportunities for career growth.
Equal employment opportunity and a workplace free from harassment and discrimination.
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