Mid-level/ Senior- level Machine Learning Engineer on BCIs, Brain Signal Process
DeepLab, Greece

At Deeplab we combine high-end software technologies with state-of-the-art machine learning research to provide services and products that tackle challenging real-life problems. This is a chance for you to get in on the ground floor of an exciting, fast growing AI start-up. We are currently expanding our interdisciplinary team of experts and seek outstanding and enthusiastic machine learning engineers with expertise in Brain Computer Interfaces and an exceptional related record to join our new team. We are looking for self-motivated candidates, who share our passion for challenging problem-solving applied to tough industrial/research problems. Our team is a key player within the international research and development field which deals with disruptive projects from ideation to productisation. You will get a chance to work with interdisciplinary cross-functional teams, both internally and along with our international collaborators, and find tremendous opportunities to further develop yourself together with the team. We seek candidates with expertise on BCIs and/or Brain Signal Processing, and/or Real-Time signal processing, and with strong Machine Learning knowledge and experience. Candidates are expected to have an in-depth understanding and hands-on practical experience in brain signal processing/BCIs. You will have the opportunity to contribute in creating a new Ramp;D while employing cutting-edge machine learning, applied across challenging projects with top-level academic/industrial partners.

1. Design and develop production-grade machine learning-powered BCI algorithms and infrastructure.
2. End-to-end ML development from idea to production, including both offline and real-time experimentation. Investigate state of the art research; invent, adapt and transform complex concepts into scalable solutions for challenging end-tasks.
3. Collaborate with a cross-functional interdisciplinary team that brings together the best in class AI, CIs, and Software Engineering to tackle the scientific challenges we are looking to find solutions for.
4. Implement BCI on high-end embedded platforms.
5. Work in a large code base using big data tools and state of the art technologies.

Requirements

1. MSc or PhD (Senior- level) in the field of computational neuroscience, machine learning, computer science, electrical engineering, biomedical engineering, neural engineering, relevant technical field or equivalent practical experience.
2. 3-5 years industrial experience on machine learning projects working with neural signals and/or BCIs.
3. Experience in signal processing and ideally familiarity with real-time signal processing.
4. Experience utilizing neural signals (e.g. EEG) in combination with Machine Learning and potentially in Real Time Analysis
5. Experience in production ready code in Python, PyTorch Tensorflow, NumPy, Pandas
6. Good to have: experience with large scale cluster computing for machine learning modeling
7. Leading and management skills; ability to build strong relationships in a challenging international environment.
8. Excellent written and oral communication skills; ability to present complex analyses in a clear, concise and actionable manner.

Benefits

1. Supplementary private health insurance.
2. Work with bright research ML engineers, team members and collaborators around the world.
3. Working in high-end AI-tech and having an impact in real-word applications.
4. Fresh culture mixing rich academic and start-up values.
5. Personal growth opportunities through internal knowledge sharing and reading groups.
6. Newly designed inspirational and fresh working environment at our new offices.
7. Flexible working hours and full remote work from home, with a flexible requirement to meet and work with the whole team every two months in a one week get-together workshop.
8. Competitive salary depending on qualifications, expertise and experience.

Job Rewards and Benefits