Position Overview The primary responsibility of this position is to bridge the gap between cutting-edge machine learning research in neuroscience and production-ready medical technology. In this role, you will play a critical part in wrapping, optimizing and deploying machine learning models onto both physical medical devices and AWS cloud infrastructure.

Key Responsibilities

· Architect & Deploy: Wrap, modularize, and optimize machine learning models for deployment on medical devices and AWS cloud environments.

· Applied Machine Learning Research: Keep up with the state-of-the-art in machine learning and do research to apply it to our use cases.

· Collaborate & Mentor: Partner closely with a researcher in neuroscience, providing code reviews, architectural guidance, and engineering mentorship.

· Productionize Code: Clean, refactor, and elevate Python functionalities into production-ready, highly maintainable, and well-tested codebases.

· Infrastructure & Pipeline Design: Build reliable CI/CD pipelines and deployment strategies that meet the rigorous standards required for medical software.

Required Qualifications

Education A bachelor's or master's degree in computer science, mathematics, physics or related field.

Professional Experience





· 6+ years of relevant experience in fast paced environments such as tech start-ups and/or scale-ups.

· Deep knowledge of Python (concurrency, parallelization, memory management, packaging, and ecosystem).

· Deep theoretical understanding of machine learning, including neural networks.

· Proven track record of deploying machine learning applications to both physical devices and AWS cloud infrastructure.

· Strong experience with writing clean code, unit testing, version control, and CI/CD pipelines.

· Excellent communication skills with a passion for mentoring and collaborating with cross-disciplinary team members.

Preferred Qualifications

We would especially value candidates with experience in the following areas:

· Scientific publications in machine learning

· Basic understanding and experience processing EEG and/or SSEP data

· Experience developing software under medical device regulations (e.g., ISO 13485, IEC 62304) or data privacy standards (HIPAA/GDPR)

Soft Skills

- Strong analytical and problem-solving skills
- Ability to work independently while collaborating effectively within multidisciplinary teams
- Good planning and time management skills
- Good written and spoken English

📌 MACHINE LEARNING ENGINEER (Barcelona)
🏢 Time is Brain
📍 Barcelona