Sword Health is on a mission to free two billion people from pain as the world's first and only end-to-end platform to predict, prevent and treat pain.
With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using technology to save millions for our 25,000 enterprise clients across three continents.
Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.Recognized as a Forbes Best Startup Employer in 2024, this award highlights our focus on being a destination for the best and brightest talent.
Not only have we experienced unprecedented growth since our market debut in 2020, but we've also created a remarkable mission and value-driven environment that is loved by our growing team.
With a recent valuation of $3 billion, we are in a phase of hyper growth and expansion, and we're looking for individuals with passion, commitment, and energy to help us scale our impact.
Joining Sword Health means committing to a set of core values, chief amongst them to "do it for the patients" every day, and to always "deliver more than expected" on behalf of our members and clients.This is an opportunity for you to make a significant difference on a massive scale as you work alongside 900+ (and growing!)
talented colleagues, spanning three continents.
Your charge?
To help us build a pain-free world, powered by technology, enhanced by people — accessible to all.Algorithms Team:Our Algorithms team is a versatile Software Engineering team.
They build production-ready software for complex problems that require technical and innovative team combines:- software engineering ability;- technical expertise and versatility - and the ability to learn fast (in fields such as Computer Vision, Signal Processing, Kinematics, Control, Data Science, etc);- product awareness.The largest example of their work is the motion tracking and motion analysis engine that enables our AI Care Specialist to guide our members during their exercise sessions:- providing multi modal real-time feedback;- collecting valuable movement metrics.What you'll be doing:Optimize Human Pose Tracking accuracy in various scenarios through the training or fine-tuning of Deep Learning models;Design and implement image acquisition and processing pipelines for accurate real-time inference optimized to the hardware they run on;Build and improve tools, scripts and processes for all tasks related to the training of Computer Vision models;Troubleshoot, debug, maintain code and documentation and create tests and validation procedures to ensure quality;Help grow the Computer Vision team by defining and promoting best practices.What you need to have:5+ years of experience in solving complex problems with Computer Vision;Strong Software Engineering foundation;End-to-end experience training Deep Learning models;Experience working in projects from ideation to completion and maintenance (including releasing and iterating);Critical thinking, self-direction & results-oriented mindset;Initiative and ability to prioritize;Willingness and ability to collaborate effectively as a team to reach common goals.What we would love to see:Experience working in a fast-paced environment and wearing different hats;Experience with transfer learning or fine-tuning Computer Vision models;Experience optimizing models for inference speed tailoring them to hardware.To ensure you feel good solving a big Human problem, we offer:A stimulating, fast-paced environment with lots of room for creativity;A bright future at a promising high-tech startup company;Career development and growth, with a competitive salary;The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;A flexible environment where you can control your hours (remotely) with unlimited vacation;Access to our health and well-being program (digital therapist sessions);Remote or Hybrid work policy: We have offices in Porto and Lisbon, so if you want to have face-to-face contact you can always work from there.