Jr. ML Engineer
Há 2 dias
*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.
