AI Research Engineer (NLP)
Alpha Health – AI
Alpha is a long term innovation facility created by Telefonica in 2016 to work on moonshot projects.
These are audacious projects, on the edge of what is technically possible, that will affect 100s of millions of people, have a positive societal impact, and grow into billion Euro businesses.
Worldwide, healthcare costs have been increasing faster than GDP for 50 years, whilst key indicators such as life expectancy have plateaued in many countries. The root cause is a change in disease burden; across the world, today’s biggest diseases and biggest killers are chronic diseases such as cancer, heart attack, stroke, and mental health disorders. In fact, for every life saved from infections since 2000, we’ve lost two lives to chronic disease.
It’s now well-established that the main cause of chronic diseases is everyday behaviours such as poor diet, lack of exercise, using tobacco, excessive alcohol, or lack of sleep. Yet healthcare systems are not geared-up to manage such behaviours at their source. To make the challenge even harder, pioneers in neuroscience and behavioural economics have begun to reveal that people are not even really in conscious control of much of their everyday behaviour.
At Alpha, we believe that advances in neuroscience, mobile computing, and machine learning now mean we can help people to take control of their own behaviour, optimise their life, and limit the effects of unhealthy behaviour on their bodies and their minds.
To support our work, we are partnering with the best academics, developers, companies, and professionals around the world.
The AI Research Engineers form the engineering backbone of Alpha Health’s technological innovation in the AI space. They stay up-to-date with the most recent developments in AI/ML and neighboring fields, identify opportunities how to apply cutting-edge research to solving Alpha Health’s mission, transfer novel AI/ML techniques and applications from the whiteboard to working PoC implementations, and work hand in glove with the AI Research Scientists in implementing and feasibility testing novel AI/ML solutions to strategically important challenges on Alpha Health’s path to success.
Additionally, they are Alpha Health’s connection to the IT engineering community, actively building and curating a network of internationally leading contacts and collaborators and bringing Alpha Health to the core of the AI/ML tech space.
‐ Serve as on-site NLP expert within R&D but also in interaction with Product and Engineering teams
‐ Develop cutting-edge technology solutions to the research questions of the AI Lab in close collaboration with Research Scientists
‐ Understand, test and improve proposed approaches and solutions by thorough questioning and ideating alternative solutions
‐ Lead or co-lead the development of Proof-of-Concept stage solutions and help embed them in the user-facing application for validation and growth
‐ Help run first tests of new solutions in scaling environments with the team and real user data and feedback
‐ Serve as interface between the AI Lab and the teams in Tech & Data
‐ Provide input in the overall roadmap of the AI Lab
‐ Provide technical expertise in the theory-development process
‐ Strong Computer-Science background
‐ Very strong programming skills in a relevant language, e.g., Python and/or C++
‐ Awareness of the current state-of-the-art in NLP, ability to understand NLP algorithms on a theoretical level up to a high level of detail
‐ Several years of experience building NLP systems (either in the context of application-oriented research or in industry) from conceptualization to implementation
‐ Able to train Machine Learning systems (especially for NLP applications)
‐ Able to implement complex software
‐ Able to use standard collaboration tools (Git etc.)
‐ Familiarity with concepts of distributed computing and large-scale data-infrastructure (Hadoop, Spark or related)
‐ Able to set up complex end-to-end data processing pipelines
‐ Able to build and effectively lead a small team of developers
‐ Able and willing to learn about new ideas and test them
‐ Able to flexibly and rapidly react to changes in the environment (project, market, company, team,..) and identify and effectively leverage opportunities for sustained team and project performance
‐ As a plus: Advanced knowledge of HealthTech, Psychology or related
‐ Problem Solving and Decision Making: Able to break complex problems into bite-size components, solve these components, and recombine into a global solution.
‐ Planning and Prioritization: Prioritises and uses time effectively to meet or exceed expectations and deadlines.
‐ Collaboration: Achieves results by working with the team towards a common goal (i.e. Data Scientists, Designers and Engineering and Product teams).
We provide all the necessary help and perks to make your life at work and outside of work fun and comfortable all year round, like:
- Benefits package (health, pension, life)
- Casual dress code and open culture
- Flexible work schedule
- High social impact with world-wide reach
- Free daily catering for lunch and large stocked kitchen
- Weekly ‘Lunch and Learn’ sessions with guests talking about the most varied world topics
- Work and learn with some of the very best minds in innovation and ideation
- A friendly and open environment
- A democratic team culture that encourages everybody to contribute ideas and acquire new skills
- Based in Barcelona, right by the beach!