ML Platform Engineer

• Skills: Kubernetes, Terraform, GitHub, Machine Learning, Stripe, Payment gateways, Large Language Models, Webflow, Python
• Experiences: Mid-level
• Employments: Part-time
• Locations: Europe (Remote)

Description:

• Join Synthesia's ML Platform team to build and operate systems for training, serving, and deploying generative models.
• Focus on creating automation-friendly and agent-oriented workflows to enhance reliability and efficiency.

Requirements:

• Strong experience in building or operating production systems with a focus on reliability, scalability, and maintainability.
• Hands-on experience with cloud infrastructure, Linux, and infrastructure automation, including Kubernetes.
• Proficient coding skills in Python or similar languages for backend systems.
• Experience with internal platforms, developer tooling, or infrastructure abstractions.
• Ability to work in ambiguous environments and take ownership of technical problems.

Benefits:

• Significant ownership in a hands-on IC role, shaping the evolution of the ML platform.
• Opportunity to collaborate closely with researchers and product engineers to enhance platform capabilities.