Applied Research Scientist

Artificial Intelligence holds immense potential for improving our lives and our work. One key challenge is its effective application in real-world manufacturing environments. At EthonAI, you will have the opportunity to shape how AI is deployed across entire industries. As a member of our team, you will tackle challenging engineering and applied ML problems in areas such as distributed systems and computer vision using state-of-the-art technologies in production settings.

We are a multinational and action-oriented team. We are guided by clear principles in our daily work: creating immediate impact and value, operating at the highest technical level, and building an environment where people can grow and do their best work.

We are looking for an Applied Research Scientist (Data & ML) to work on our Industrial AI analytics products. In this role, you will apply and adapt modern ML techniques to build data systems that directly shape model performance in production, with deployments in factories around the globe. You will take ownership of scalable data pipelines, model assisted data curation workflows, and labeling infrastructure that turn complex industrial data into high quality training signals. We are looking for someone who is self driven, curious, and motivated to grow with the company in a dynamic and fast paced environment.

First and foremost, we believe in curious people who are eager to learn and grow. Please also reach out if you don't check all the points mentioned here.

Your Roles & Responsibilities

• Design and operate scalable data pipelines for ingestion, preprocessing, augmentation, and validation.

• Source and curate diverse computer vision datasets, including open-source and proprietary industrial data.

• Build integrations with annotation tools (e.g., Label Studio, CVAT) and external labelling providers.

• Ensure reproducibility and scalability of data workflows.

• Support ML research by ensuring high-quality, well-organized datasets are always available for training and evaluation.

Your Experience & Skills

• Solid programming skills in Python.

• Experience working with ML libraries such as PyTorch, HuggingFace, and OpenCV.

• Familiarity with cloud infrastructure (AWS/GCP/Azure) and object stores (e.g., S3, MinIO).

• Familiarity with data versioning tools (e.g., DVC, MLflow, LakeFS).

• Practical ML skills - able to apply existing models (e.g., object detectors, SAM, OCR) to support data curation, pre-annotation, or quality checks.

• Experience with annotation tools and labeling services is a strong plus.

• Background with multimodal datasets (images, text, video) is a plus.

• Experience applying image generation models to create synthetic training data is a plus.

• Strong motivation to work in a dynamic and fast-paced environment.

We foster a culture where team members can grow and learn from each other. We are dedicated to being the workplace where each of us thrives.

We also offer a good handful of specific benefits:

• Comprehensive compensation package with stock options to become a co-owner of EthonAI.

• On-site work is important, with significant scope for flexible schedules and partially remote work.

• A CHF 2'000 yearly bonus when you take two consecutive weeks of vacation.

• Flexible parental leave.

• Support for continued learning, such as online courses and conferences.

• See your work being deployed in cutting-edge factories around the globe.

• We just moved to a brand new office and we are ready to grow

At EthonAI, there always are plenty of opportunities to step up and take charge. Other keys to our job satisfaction are the palpable impact we have on the real world, and being part of a top-notch team that is focused on a successful outcome for all.

EthonAI is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We particularly encourage applications from individuals traditionally underrepresented in tech.

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