Machine learning developer applying AI for neural engineering

About BIOS:

We are a leading neural engineering startup, creating the open standard hardware and software interface between the human nervous system and machines. Our team combines a unique software stack with applied materials, software engineering, machine learning, neuroscience, and the experience of our clinicians and surgeons to solve the complex problems of successfully integrating bionics into the human body.

Joining BIOS means joining an incredibly talented and motivated group of people who share our vision of pioneering an industry. Team members range from highly talented engineers and developers to experienced clinicians. We have a range of ages, nationalities, and backgrounds working with us, and the team is close to 50/50 female to male ratio. We have a fun and friendly atmosphere but challenge ourselves every day and are committed to the work. You’ll often find us chatting through interesting problems over a coffee or beer at the local Cambridge pub or at our monthly team outings. 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 environment; care deeply about changing the way we treat chronic illness and helping to make real world change; and have a desire and belief in 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. BIOS has the largest neural data set in the world by an order of magnitude. This is career-making – 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 generative models) 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.

Essential skills and qualifications:

• • Proven knowledge of machine learning and/or statistics and demonstrable ability to apply to complex unstructured data
  • Competent in one or more of the following programming languages: Python, Java, C++
  • Strong expertise in reinforcement learning and / or deep learning
  • Experience with implementing numerical methods and data visualization
  • Good knowledge of algorithm design, evaluation and implementation
  • Experience with TensorFlow
  • Ability to adopt an innovative approach to thinking about data in new and creative ways
  • Hands on experience of communicating results and findings clearly and efficiently across different levels of audience understanding
  • Masters 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 GPU programming
  • Familiarity with multi-threaded design and parallel/distributed computing
  • Previous experience leading research projects and teams within academia and/or private sector
  • PhD in machine learning, computer science, mathematics, physics, electrical engineering, or equivalent
  • Working knowledge of source control management such as Git
  • Understanding of issue management systems such as JIRA and working with Agile software development methodologies
  • Familiarity with AWS, Trello, Slack

Key details:

Competitive salary depending on experience. Also includes equity and bonus-based remuneration.

Other benefits include:

• • Working on world-changing technology with leaders in the field
  • Dynamic, innovative, passionate, entrepreneurial team
  • Inclusive company culture
  • Flexible hours (outside of core hours)
  • Enhanced maternity leave
  • Additional employee benefits

Preferred start date: ASAP
Duration: Permanent
Location: Cambridge, UK

Please send a CV and 300 word cover letter to careers@BIOS.health to apply.

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.

Tagged as: Machine Learning