Remote Machine Learning Engineer, Infrastructure

Description:

• Design, implement, and maintain the infrastructure supporting machine learning applications, services, and workflows
• Build and enhance the ML platform for continuous integration, delivery, and training of models
• Utilize low-level programming languages, cloud native services, and serverless architectures for scalable systems
• Develop components in the data pipeline to enable various machine learning models in production
• Lead infrastructure projects, including technical designs, plans, and specifications
• Design, deploy, and maintain the full ML platform stack with monitoring and data observability
• Identify bottlenecks in the pipeline, optimize throughput and latency of ML components
• Develop automation tools for model training and deployment

Requirements:

• 4 years of experience in ML Systems Engineering
• 4 years of industry experience in Python or other common ML languages
• Proficiency in infrastructure and DevOps tools like Kubernetes, Docker, and Ansible
• Knowledge of distributed systems, storage systems, and databases
• Familiarity with cloud computing platforms such as AWS, GCP, and Azure
• Experience with infrastructure-as-code tools like Terraform, Pulumi, Cloud Formation
• Proficiency in monitoring tools like Cloudwatch, NewRelic, Prometheus
• Strong communication skills, problem-solving approach, and sense of ownership
• Ability to manage and lead active incidents and conduct blameless postmortems

Benefits:

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 paid company holidays
• Location-flexibility (remote-first company!)
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend