Machine Learning Intern, Summer 2026

Job not on LinkedIn

10 hours ago

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Logo of Artera.net

Artera.net

Cloud

Artera. net is a leader in providing B2A (Business to Agency) solutions, specializing in premium hosting and cloud services tailored for agencies and their digital needs. The company offers a comprehensive array of services including hosting, cloud server, and cloud enterprise solutions. Artera. net emphasizes innovation, reliability, and security, boasting high-quality infrastructure with proprietary data centers in Switzerland, robust anti-DDoS protection, and compliance with privacy regulations including GDPR. Their offerings include pro-active 24/7 support with direct communication with system experts, ensuring high levels of customer satisfaction with a renewal rate of 93%. Artera. net also promotes environmental sustainability by powering its data centers with renewable energy. With a partnership program for web companies, software houses, and freelancers, Artera. net aims to build long-term, trust-based relationships while offering customized and flexible technology solutions that cater specifically to the needs of each project.

11 - 50 employees

Founded 2002

📋 Description

• Developing novel biomarkers alongside fellow ML engineers, biostatisticians, and scientific directors • Design and develop innovative computer vision models that predict patient outcomes and responses to therapy • Support and optimize our machine learning workflow by enhancing the efficiency of tools, processes, and systems used to develop and deploy AI-based biomarkers • Aid in the productionalization, launch, and monitoring of machine learning products • Research and development of machine learning algorithms that expand product capabilities • Contribute to and drive publications in scientific journals and machine learning conferences

🎯 Requirements

• 2+ years of academic or industry experience using PyTorch or TensorFlow • Ability to communicate technical (ML) details to a cross-functional team of non-technical collaborators. • Entering the final year of Masters or Phd following the summer of 2026 • (Preferred but not required) Hands-on experience with vision-language models (VLMs), including training, fine-tuning, or evaluating multimodal models

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