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Machine Learning Engineer

Data Science UA
format:Remotecompany:Outsource
machine learningcomputer visionnlpstatisticsprototyping
coremlios sdk
locationKyiv, Ukraine
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Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and the role:
Our client is a software company that develops and distributes software for macOS and iOS. We are seeking a Research Scientist to client’s AI R&D team, who will be at the forefront of AI research and play a pivotal role in driving research in human-computer interaction (HCI), specifically focusing on understanding macOS apps and their interfaces, using the latest advancements in natural language processing, computer vision, multimodality research.

Responsibilities:
— Lead HCI-focused AI research projects from concept to implementation.
— Translate cutting-edge research into innovative solutions for macOS applications.
— Collaborate across teams to integrate AI advancements into client’s products.
— Communicate research results to internal and external audiences (scientific conferences)

Requirements:
— Experience in one or more of the following Machine Learning domains: Computer Vision, Natural Language Processing (NLP), Human-Computer Interaction (HCI).
— Strong knowledge of linear algebra, probability theory/statistics, and graph theory.
— Advanced prototyping skills and experience implementing algorithms from academic papers.
— Previous experience publishing academic papers.

Nice-to-Have Skills/Experience:
— Ph.D. in machine learning, AI, statistics, computer science or related technical fields
— Familiarity with the Apple ecosystem, including iOS/macOS SDK and Core ML.

What we offer:
— We are a Ukrainian company, and we stand with Ukraine against russian aggression.
— Your health always comes first.
— Flexible working hours.
— Space to grow both professionally and personally.
— Teams we are proud of.
— Time-off policy that covers life’s needs.
— Join social initiatives.

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