Work somewhere with the creativity of a scaleup and expertise of an enterprise.

We’re looking for a world-class AI Research Engineer to join our Team in Milan.

You’ll investigate, assess, and refine cutting-edge AI models, acting as a bridge between research and production; you’ll improve the research codebase by advocating for code reuse, implementing best practices, and ensuring reproducibility of experiments and you’ll manage large datasets, overseeing acquisition, labeling, and data loaders. You’ll also collaborate closely with software engineers to deploy models in production, while also contributing to the design of advanced internal tools and technologies. You’ll work closely with Product Engineering teams to understand their AI needs and achieve breakthrough results. You’ll always stay updated with the latest trends in the field and share knowledge with the team. 

Requirements

What You Have 

• PhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience.
• At least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD.
• Extensive expertise in the fundamentals of deep learning, including a profound understanding of key aspects such as model validation, regression, and classification techniques.
• Strong knowledge in at least one of the following fields: NLP, Information Retrieval, Conversational AI, Computer Vision.
• Strong Python programming skills and experience.
• Knowledge and experience with version control systems, e.g. Git.

What Would Be Nice to Have 

• Proficiency in PyTorch.
• Hands-on experience with distributed systems, particularly in on-device algorithm development, with a focus on High-Performance Computing (HPC) systems.
• Proven record of contributing to AI publications, highlighting a keen understanding of cutting-edge research.
• Good knowledge of one or more MLOps tools.

Who you are

• Unwavering Excellence, your academic or professional journey is marked by consistent accomplishments, always striving for superior outcomes.
• Driven and Fearless, motivated and unafraid of challenges, you proactively overcome obstacles.
• Passionate Enthusiast, you have a genuine love for the field, you stay updated with the latest developments.
• Analytical Learner, rapidly mastering new concepts with a structured approach, you creatively solve cross-disciplinary problems.
• Collaborative Team Player, enthusiastic, curious, and adept at problem-solving, you excel independently and in a team environment.
• Fluent in English, you're eager to contribute in a multicultural, international setting.

Benefits

Working at iGenius

With a growing team in four offices — Milan, NYC, London and Lausanne, Switzerland — iGenius is a scaleup that thinks like an enterprise, where talented innovators can thrive and people come first. That’s not all.

Perks

• Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials.
• Smart Working. Trains can be a drag, you can save some commuting time by working from home.
• Salary is based on experience and topped up with other bonuses.

About iGenius

Established in 2016 by Uljan Sharka, iGenius is an AI company on a mission to humanize and democratize business data with Crystal, our proprietary GPT for numbers platform.

Unlike traditional BI tools, Crystal takes a human-first approach that enables business users to have high value conversations with data, all in an easy to use intuitive platform.

By combining data science, machine learning and conversational AI, Crystal becomes a private AI brain for business data, providing organizations with instant, safe and relevant data insights leading to faster and better decision making and business growth.

With a strong global presence, iGenius operates in 4 countries with offices in New York, San José, Lausanne, London, and Milan, the company's headquarters.

The team counts +100 talented international professionals, highly skilled in AI, machine learning, data science, and software engineering.

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