Algorithms Engineer

Who we are

SWORD Health is on a mission to relieve the millions of people suffering from musculoskeletal disorders. We go around the world pairing our AI-driven Digital Therapist with our clinical team to deliver best practice care to those with chronic back and joint pain. We recently raised a $8M series A led by Silicon Valley heavyweight Khosla Ventures, and have our teams spread between Porto and New York. We are bold enough to think we can change the world, but we know we need to have stellar people with us in order to make that happen. This is why we need you.

To do what 

• Develop real-time algorithms for estimating the orientation of the patient’s limbs by correcting for sensor placement errors, magnetic disturbances, among others
• Develop real-time algorithms for analysing the patient’s movement using orientations and accelerations in order to provide detailed feedback regarding each possible movement
• Develop machine learning algorithms for extracting information from the patients' session data

 

Our ideal candidate has 

• Experience with Matlab, Python, R and/or other offline frameworks that allow computing datasets and statistical analysis
• Experience with Object-Oriented Programming (preferably Java)
• Background in algebra and mathematical analysis
• Background in algorithms and/or signal processing
• Experience with machine learning techniques
• Background in sensor fusion and control theory (a plus)
• Experience with 3D motion quantification algorithms and movement analysis (a plus)
• A result-oriented mindset and a highly motivated team player with a drive to disrupt
• Passion for developing novel and unique systems that have a direct impact on people’s lives
• Natural leadership, winning personality and start-up mentality
• Excellent written and verbal communication skills in English

 

We offer 

• A place at the forefront of the worldwide redefinition of physical therapy
• The possibility of having an impact on peoples lives like nowhere else
• A fast-paced, fun and energetic working environment where you will be constantly facing complex technological challenges