Description
xbird
is a medical AI company developing ways to use smartphones and wearable
devices to predict and prevent health risks. We are a 10-person,
interdisciplinary team on the mission of saving 1 million lives by 2020.
Our current solution focuses on detecting and preventing hypoglycemia
for diabetes patients.
We are looking for a Principal Engineer,
Machine Learning that will lead our efforts to build the intelligence
behind our systems. You will apply the latest machine learning
algorithms to improve the lives of people and to help doctors in their
diagnosis. In this role, you will have high responsibility and a strong
impact on the company's success.
You will be part of our engineering team consisting of machine learning engineers, backend and iOS developers.
You
will play a leading role in every part of our machine learning
lifecycle: from the initial research to the production-level
implementation, from discussing long-term goals, to making post-release
micro-improvements. Being an expert in machine learning technologies,
you also guide and coach other machine learning engineers at xbird.
You
are able to navigate yourself quickly through the sea of machine
learning literature, keeping our concrete goals as a compass. You will
decide the best model for every problem, and will be keen to implement
that in practice (Python). You are able to explain your choices at any
level of detail, from discussing the activation function of your neural
network convolutional layer to the most accessible explanation of your
goals and results.
You take full ownership of core projects of our company and we can rely on you to drive them forward proactively.
We look forward to welcome you as part of the xbird team!
Requirements
- You
are deeply familiar with state-of-the-art machine learning algorithms
and models. Your experience in designing and applying machine learning
algorithms is at a Ph.D.-level, or an equivalent professional
experience.
- You can build a model of reality, validate it, and
quantify your errors. You know how to fine-tune your hyperparameters,
optimize the results, and eventually optimize the performance.
- You
have 5+ years of practical experience in taking projects from idea to
experiment, to prototype, to implementation, with little supervision.
- You
have at least 3 years of experience developing in Python. You are very
familiar with Python libraries and tools for data analysis and machine
learning.
- You have experience in deploying solutions to cloud and virtualization environments.
- You have experience in coaching and guiding other machine learning engineers.
- Experience working with mobile sensors is a plus.
- Experience with human activity recognition or with digital health problems is a big plus.
- You enjoy what you do and want to work with people who share your passion.
Benefits
This
is an exciting opportunity to join a highly motivated,
interdisciplinary team with backgrounds in machine learning, software
development, medicine and business. You will benefit from a
communicative, stimulating, and friendly environment. We offer a
competitive salary and equity options to all full-time employees. We do
work that matters, join our journey!
