Senior Machine Learning Engineer, Model Dev

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August 13

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Artera.net

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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

• About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale. • As a Senior Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You’ll ensure that Artera’s model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.

🎯 Requirements

• 5+ years of industry experience using PyTorch or TensorFlow. • 2+ years of experience as a technical lead, launching and monitoring machine-learning products in production environments. • Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators.

🏖️ Benefits

• Equity is a core component of compensation • 401k matching • unlimited PTO • The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.