About the job Junior Machine Learning Engineer
Junior Machine Learning Engineer
Location: Hybrid (Istanbul Office) — This role requires regular in-person collaboration at our Istanbul Hub - İTÜ ARI3 Teknokent.
ABOUT CEIBA
Founded in 2016, Ceiba is a global leader in healthcare technology, pioneering advancements that transform healthcare—particularly in critical care—through innovative AI, big data, and our state-of-the-art inpatient virtual care platform. Our revolutionary solutions enhance the lives of clinicians, nurses, and patients by providing intelligent tools that streamline workflows and enable data-driven decisions.
Ceiba's products are globally recognized and used across five continents and more than ten countries. What began as a small team has now grown to nearly 80 people, with offices in New York and Istanbul.
POSITION OVERVIEW
We are looking for a Junior Machine Learning Engineer who is eager to grow and contribute to the development of medical machine learning models.
In this role, you will primarily support projects involving multi-variate time-series analysis, with opportunities to expand into Computer Vision and Natural Language Processing as you grow. You will move beyond code to see the real-world impact of your work, collaborating directly with medical stakeholders to understand clinical problems and translate them into life-saving ML tasks.
We highly value coachability and a learning-first mindset. We are looking for someone who wants to deeply understand the "why" behind solutions, actively seeks feedback, and iterates quickly.
RESPONSIBILITIES
- Support the development and improvement of Medical ML models, with a primary focus on multi-variate time-series data, gradually expanding into Computer Vision and NLP projects.
- Assist with the full model lifecycle: data preparation, model training, evaluation, and detailed error analysis.
- Collaborate with medical staff and internal stakeholders to bridge the gap between clinical needs and technical implementation.
- Help maintain and improve model-serving pipelines (e.g., APIs), monitoring basics, and production reliability.
- Contribute to experiment tracking and reproducibility (e.g., logging runs, documenting datasets, saving artifacts).
- Write and maintain clear documentation for experiments, model behavior, and project learnings.
- Take ownership of small-to-medium scoped tasks and proactively suggest improvements as you learn the system.
QUALIFICATIONS
- Education: Bachelors or Masters degree in Computer Science, Bioinformatics, or a related field (or equivalent practical experience).
- Programming: Solid Python skills and software fundamentals (clean code, debugging, basic testing mindset).
- ML Fundamentals: Familiarity with machine learning basics and at least one major framework (PyTorch, TensorFlow, or Scikit-learn).
- Workflow: Solid understanding of the model development workflow: data training evaluation iteration.
- Experience: 3+ years of programming experience and 3+ years of hands-on machine learning experience (including internships, academic research, or significant personal projects).
- Soft Skills:
- Strong self-learning ability: You pick up new concepts quickly and enjoy continuous learning.
- Coachability: You actively seek feedback, apply it, and improve fast.
- Communication: Excellent communication skills in English.
NICE TO HAVE (BONUS)
- Familiarity with experiment tracking tools (e.g., Weights & Biases).
- Exposure to API development (e.g., FastAPI) and basic deployment concepts (Docker, Linux, Cloud basics).
- Any prior exposure to healthcare data, clinical terminology, CV, or NLP.
JOIN US
If you are passionate about healthcare technology and want to make a tangible difference in the industry, we encourage you to apply. Join us in our mission to transform healthcare through innovation and excellence!
Work Arrangement:
Ceiba embraces a hybrid work structure that combines office collaboration with flexibility. Fully remote work is not available for this role.
Employment Type: Hybrid
Location: Istanbul / Maslak