Machine Learning Engineer - Platform

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April 2

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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

• Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. • As a 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

• 4+ years of industry software engineering experience • 3+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python • 2+ years of industry experience building with AWS, Docker, and Kubernetes • 1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines • Desired: Experience using Terraform, SqlAlchemy • Experience using ML orchestration frameworks such as Ray, Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or Prefect • Experience deploying and maintaining infrastructure for machine learning training and production inference • Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization

🏖️ Benefits

• In addition to base salary, equity is a core component of our compensation. • We also offer 401k matching, unlimited paid time off (PTO), and more. • The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.