Machine Learning Researcher - Montreal
BIOS Health, Canada
Job Description
About BIOS Health (BIOS):
We are a world-leading neural engineering start-up, creating the open standard hardware and software interface between the human nervous system and AI. Our team combines a unique software stack with applied materials, software engineering, machine learning, neuroscience, and the experience of our clinicians and surgeons to focus on developing neural interfaces and a data-led research and discovery platform to enable AI-based treatments on organs and nerve systems throughout the body.
Joining BIOS means joining an incredibly talented and motivated group of people who share our vision of pioneering an industry. Our team combines visionary leaders, multi-disciplinary research and development experts and an experienced commercial group, all with a range of ages, nationalities, and backgrounds. We have a fun and friendly atmosphere but challenge ourselves every day and are committed to the work. We are looking for people who will fit into our diverse, fun and stimulating company team culture, who are focused on overcoming challenges, and want to grow along with the company.
Successful candidates will: take incredibly complex problems and work to find elegant, simple solutions; work in an open collaborative environment; care deeply about changing the way we treat chronic illness and helping to make real world change; and enjoy the challenge of achieving the impossible.
About the role:
We are looking for a candidate with a strong research background in machine learning and good coding skills to work on world-changing, completely unique projects for neural engineering applications. At BIOS we solve hard problems and we want someone who equals our ambition, creativity and vision to work on our machine learning research.
Main duties and responsibilities:
- Perform research to apply machine learning (particularly deep learning, reinforcement learning and transfer learning) to real world problems.
- Provide research consultancy on applied projects: determine the scope of the problem, the best place to apply machine learning, and evaluate different approaches.
- Integrate new fundamental research ideas into applied projects.
- Collaborate with Software Engineers to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms.
- Report and present experimental results and research findings clearly and efficiently, both internally and externally.
Requirements
Essential skills and qualifications:
- Proven knowledge of machine learning and/or statistics and demonstrable ability to apply to complex unstructured data
- Previous experience leading research projects within academia and/or private sector
- Competent in one or more of the following programming languages: Python, Java, C++
- Strong expertise in reinforcement learning and / or deep learning
- Experience with one or more deep learning frameworks (e.g. Tensorflow, Keras)
- Ability to communicate results and findings clearly and efficiently across different levels of audience understanding
- PhD in machine learning, computer science, mathematics, physics, electrical engineering, or equivalent
Desired skills and qualifications:
- Experience with software development in a regulated industry (such as medical, energy or defense)
- Experience with one or more of natural language processing, transfer learning or time series analyses
- Experience with signal processing techniques
- Familiarity with multi-threaded design and parallel/distributed computing
- Working knowledge of source control management such as Git
- Previous experience working in Agile software development methodologie
- Familiarity with AWS, Azure, Slack
Benefits
Competitive salary depending on experience and company share options.
Other benefits include:
- Working on world-changing technology with leaders in the field
- Dynamic, innovative, passionate, entrepreneurial team
- Inclusive company culture
- Located in the world leading Machine Learning eco-system in the heart of little Italy and close to amenities
- Flexible hours (outside of core hours)
- Highly Competitive Pension scheme
- Medical healthcare insurance
- Additional employee benefits
Equal Opportunities:
BIOS is committed to equal employment opportunities. All qualified applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, gender or sexual orientation.