Wacom Europe Gmbh
Machine Learning/SVM Specialist (f/m/d)
длъжност на пълно работно време

Machine Learning/SVM Specialist (f/m/d)

София длъжност на пълно работно време

За нас

Wacom is leading the industry with digital pen and ink technologies, while driving human interface and digital stationery solution markets towards new user experiences and use cases. Business solutions are an important part of the product range, which includes electronic document and handwritten signature devices and software technologies.
Wacom’s Ink Division is responsible for Wacom’s software business and technology strategy and oversees a broad software portfolio including driver, technology services, applications, cloud, and software for integrated and enterprise solutions. Wacom’s core ink technologies consist of WILL (Wacom Ink Layer Language), digital biometric signature verification and content rights management and AI ink technologies.
As part of Wacom’s business units, our Global Ink Division is responsible for Software Technology Research and Development. It was established in 2011, with main forces in Bulgaria, UK & US. Today for our growing office in Sofia with more than 50 employees, we are looking for a Machine Learning Engineer with strong expertise and professional experience in AI systems to develop and improve the technology.


Your Role:

As a member of our Technology team you will participate in the design and development of differentiated AI technologies, with particular focus on signature verification systems initially.


• Define and lead technology research and development roadmap projects with cross-discipline engineering team members and/or with strategic technology partners;
• Take responsibility for the application of machine learning and other techniques to develop and improve Wacom’s signature verification tools and other pen and ink related AI technology;
• Act as part of technical expert team for artificial intelligence, machine learning, and deep learning and contribute to Wacom’s innovation and roadmap development processes;
• Contribute to the strategy and definition of Wacom’s technology roadmap with the goal to grow Wacom’s intellectual property and technology services portfolio.

Изисквания и необходими умения


University degree in Computer Science, Cognitive Science, or Engineering are required, PHD degree is a plus;
• At least 5 years of professional experience in research or engineering in Artificial Technology domains, such as: handwriting recognition, signature verification, anomaly detection or similar deep learning related topics;
• Experience with at least one of the following ML techniques: Support Vector Machines (SVM), Recurrent Neural Networks - Gated Recurrent Unit (GRU) or Long Short-Term Memory units (LSTM) and Bi-directional-LSTM, Dynamic Time Warping, Gaussian Mixture Models;
• Solid mathematical foundation of machine learning / deep learning techniques especially on sequential data and recurrent network architectures;
• Strong experience in C/C++, C#, or Python;
• Experience in at least one major machine learning framework: TensorFlow, Keras, Torch, scikit-learn, libSVM etc.;
• Solid insights and interest in state-of-the-art and future trends in technology fields related to AI and deep learning;
• Passion for innovations and pen and ink technologies;
• Creativity and curiosity for solving highly complex problems;
• Working experience in global / international teams;
• Excellent communication skills that address to business and to technical audiences and teams;
• Fluent English (written and spoken).

Ние Ви предлагаме

We offer:

• Career in a global leader in digital technologies;
• Positive and friendly environment;
• Flexible working approach (working hours and hybrid model);
• Annual bonus aligned to the employee’s contribution;
• Additional health and dental insurance;
• Great location, cosy office space;
• Technical and soft-skills trainings and certificates;
• Team buildings and internal events;
• Covered transport expenses;
• Employee referral bonuses;
• Fun zone - PlayStation and lounge and social area.