Jr. ML Engineer (Customer Success)

*Native/Bilingual English is required for this role (read/written/spoken)

Please upload your CV Resume in English.

Monthly salary: $2,000 - $3,000 USD

Along with our partner, we're looking for a talented Jr. ML Engineer who will be the main touchpoint for our partner's client. You will have to leverage technical knowledge, soft skills, and strong problem-solving skills to deliver great experiences to clients.

Key Responsibilities:

• Guide new users through onboarding, setup, and best practices 
• Document technical learnings, common patterns, and solutions derived from real customer interactions 
• Transform lessons learned into clear, actionable knowledge for both internal teams and external users 
• Create and maintain documentation, tutorials, and sample projects 
• Provide technical support via Slack, email, and meetings, helping users troubleshoot and resolve issues quickly 
• Collaborate with engineering to debug production issues and prioritize fixes 
• Help users architect scalable and efficient deployments using FriendliAI 
• Lead customer-facing technical sessions, demos, and Q&As 

Qualifications:

• 1+ years of hands-on experience with deploying & debugging LLMs on GPUs for production
• 1+ years in a developer-facing or technical support role (Customer Success, Solutions Engineering, etc.) 
• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent 
• Have deep knowledge of how LLMs and related technologies/features work
• Familiarity with Kubernetes and cloud infrastructure
• Excellent written and verbal communication skills 
• Proficient in Python and familiar with LLM ecosystems (e.g., Hugging Face, LangChain) 
• Experience working with APIs, CLI tools, and deployment workflows 
• Ability to explain complex technical concepts clearly and concisely 

Preferred Experience:

• Strong technical writing skills with experience authoring user-facing or internal technical content.
• Experience working with open-source model inference in production.
• Experience writing developer documentation or educational content.
• Prior experience working with enterprise customers or managing technical escalations.
• Contributions to developer communities or open source.
• Familiarity with model serving platforms and inference workflows.
• Hands-on experience building with agentic or autonomous AI frameworks.

Work Schedule: rotating through Monday - Sunday, 6 AM - 6 PM PST.

Commitment: 180 hours per month

Benefits:

• A fully remote position with a structured schedule that supports work-life balance.
• The opportunity to work with our partner at the cutting edge of generative AI infrastructure and model serving.
• Two weeks of paid vacation per year.
• 10 paid days for local holidays.

*Please note our partner is only looking for full-time dedicated team members who are eager to fully integrate within their team.