Senior Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer who can take ownership of end-to-end ML development, from problem formulation through model deployment. You will design, build, and optimize machine learning solutions using real-world data, working closely with cross-functional teams including software engineers, researchers, and product stakeholders.

This role requires a strong balance between theoretical understanding and hands-on implementation, with a focus on delivering robust, production-ready models in a healthcare or clinical context. We particularly welcome candidates who are currently pursuing or have recently completed PhD studies-especially those working in sleep research or related domains—as this background aligns well with our problem space.

Core technical focus

• Applied machine learning and deep learning model development
• End-to-end ML pipeline design (data-training-evaluation-deployment)
• PyTorch-based model implementation and optimization
• MATLAB-based prototyping and analysis
• Working with real-world, noisy, and large-scale datasets
• Experimental design and performance evaluation

What you’ll do

• Design and develop machine learning and deep learning models for real-world applications
• Work with complex datasets: data exploration, preprocessing, feature engineering, and validation
• Build and optimize training pipelines using PyTorch and Python-based ML ecosystems
• Prototype algorithms and validate concepts using MATLAB, where appropriate
• Design and run experiments, evaluate model performance, and iterate based on results
• Collaborate with engineering teams to integrate models into production systems
• Contribute to architecture decisions and improve ML development workflows
• Stay up to date with the latest advancements in machine learning and apply them where relevant

What we are looking for

We are seeking an experienced ML engineer with strong practical skills and a solid theoretical foundation. You are comfortable working independently, formulating research directions, and translating them into scalable solutions.

You have experience with modern deep learning frameworks such as PyTorch and are confident working with complex datasets, including image and multimodal data. Familiarity with MATLAB is also important for prototyping, analysis, or legacy system integration.

You should have

• 4+ years of experience in AI/ML research or applied machine learning
• Strong background in mathematics and computer science (statistics, linear algebra, optimization, algorithms)
• Solid understanding of machine learning and deep learning methods
• Hands-on experience with real-world datasets, including preprocessing and validation
• Strong Python skills and experience with scientific libraries (NumPy, SciPy, Pandas)
• Experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow
• Practical experience with MATLAB
• Ability to independently design experiments and evaluate results
• Strong analytical thinking and problem-solving skills

Nice to have

• Experience with computer vision or multimodal AI (images, video, 3D data)
• Experience deploying ML models into production environments
• Familiarity with MLOps tools and workflows
• Experience with large-scale or distributed training
• Background in research or publications in ML-related fields
• Experience in computer vision and multimodal data processing
• Experience with Healthtech or Medtech projects
• Ongoing or completed PhD studies, especially in sleep research or related fields

What we offer

• International, remote-first team
• Flexible working hours
• Opportunity to work on complex, high-impact systems
• Modern engineering culture with autonomy, ownership, and the ability to influence architectural direction
• Continuous professional growth and learning opportunities
• A transparent and collaborative company culture
• Room for continuous professional growth-mentorship, knowledge-sharing, and diverse challenges

Perks

We believe that a supportive and inspiring environment is essential for focusing on what truly matters: solving real user problems and delivering excellent products for our clients. That’s why we operate in a remote-first setup, offering a flexible schedule, long-term stability, and all the tools needed to work effectively.

Our team is equipped with modern hardware, software, and access to a wide range of high-quality learning resources, supporting continuous growth and productivity. We trust our people to work in the way that suits them best, while staying connected and aligned as a team.

We love sharing knowledge!

This is the best way to gain experience and form a terrific community. 10 paid hours per month are dedicated to internal workshops. We mentor and receive mentorship, hold regular design critique sessions and enhance our best practices. We create publications, product discoveries, case studies and also speak at webinars and conferences.