Machine Learning Engineer – Platform

Job not on LinkedIn

🕒 June 12

🏄 California – Remote

🏄 California – Remote

💵 $140k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Artera.net

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2002

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

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.

📋 Description

• Work on the AI Platform team focusing on scalable and efficient pipelines for model training, evaluation, and data processing • Build and evolve core libraries used by AI scientists to develop, launch, and monitor AI products • Optimize GPU and CPU efficiency and data throughput of large-scale foundation models • Ensure Artera’s observability infrastructure provides a clear picture of model performance optimization

🎯 Requirements

• 5+ years of industry software engineering experience • 4+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python • 3+ 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 • Experience in using ML orchestration frameworks such as Flyte, Ray, Kubeflow, Metaflow, MLFlow, Dagster, Argo Workflow or Prefect • Experience using Terraform, SqlAlchemy • Experience in multi-node and multi-gpu training • 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

• 401k matching • unlimited paid time off (PTO)