Computer Vision Trainee

SWORD Health
Summary
Join Sword Health, a Forbes Best Startup Employer, and be part of a mission to free two billion people from pain. As a member of the Algorithms team, you will contribute to the development of AI-powered solutions for mental, movement, and pelvic health. This 12-month trainee program offers a steep learning curve and real-world impact, allowing you to design and evaluate model training experiments, perform data analysis, and contribute to the quality of the team's output. You will work with a global team, using technology to solve human problems at scale and build the engine of Sword Health's Digital Therapist. This role demands design and software engineering skills, a product-eye for data analysis, and a passion for working in fast-paced environments. The program is based in Portugal and requires a valid EU visa; relocation assistance is not offered.
Requirements
- Master’s degree in Engineering, Computer Science, Physics or Mathematics
- Ability to solve complex problems with software
- Solid knowledge of Python
- Good technical foundation in Machine Learning (models training, understanding concepts like dataset augmentation, loss functions, back propagation, optimizers, etc) but above all ability to learn about new technical topics
- Ability to visualize and interpret data of different types
- Critical thinking, self-direction, results-oriented mindset
- Ability to collaborate effectively with technical and non-technical stakeholders and within the team
- Passion to work in fast paced working environments
Responsibilities
- Design and evaluate model training experiments for human pose estimation problems
- Experiment training with different human pose estimation model architectures
- Perform dataset analysis (look for useful insights, possible biases, etc.)
- Contribute to the quality of the team’s output by developing and executing test plans and creating internal tools and scripts for automation and testing
- Troubleshoot, debug and maintain documentation
Preferred Qualifications
Experience in Computer Vision related topics
Benefits
- A stimulating, fast-paced environment with lots of room for creativity
- A start of a bright future at a promising high-tech startup company
- Access to our health and well-being program (digital therapist sessions)
- Learning opportunities with tailored mentoring
- Remote or Hybrid work policy