Founding AI Engineer (ML/Data) Fully Remote
- Brazil, Canada, United Kingdom, United States
- Remote
- Posted Oct 10, 2026
- 1 position
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
Job summary
Build and improve the matching engine with machine learning models and embeddings, and maintain data pipelines for model training and product features. Ship LLM-powered product features, own model evaluation and monitoring, and work with the founders to identify high-impact AI opportunities.
Job details
To apply : https://matcha.fm/apply/ai Fully Remote (US, Canada, Europe, UK, Brazil, LATAM) Full-time What you will do : Build and improve the matching engine using ML models and embeddings Design and maintain data pipelines that feed model training and product features Ship LLM-powered features into the product using frontier models Own evals and monitoring so models don't silently degrade Work directly with founders to identify the highest-leverage AI bets What You Bring : Proven track record of shipping ML, data, or AI systems in production Strong Python and SQL fundamentals Experience with LLM APIs, embeddings, RAG, or agentic patterns Comfortable owning data pipelines alongside modeling work You can work in ambiguous situation and move forward Have worked remotely in the past Any level of experience (New Grads Ok) Compensation and benefits : Unlimited PTO Fully remote Remote setup ok with B2B contract or EOR Interview process: 30min chat with the founder > 45min system design interview > offer To apply : https://matcha.fm/apply/ai
What you’ll do
Build and improve the matching engine with machine learning models and embeddings, and maintain data pipelines for model training and product features. Ship LLM-powered product features, own model evaluation and monitoring, and work with the founders to identify high-impact AI opportunities.
Requirements
Applicants should have experience shipping production ML, data, or AI systems, strong Python and SQL fundamentals, and familiarity with LLM APIs, embeddings, RAG, or agentic patterns. They should be comfortable owning data pipelines and working through ambiguity; any experience level, including new graduates, is welcome.
Benefits
- Unlimited Paid Time Off
- Remote Work
Listed skills
- SQL · Preferred
- Machine learning · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Machine Learning
- Data Engineering
- Artificial Intelligence
- Python
- SQL
- Machine Learning Models
- Embeddings
- Data Pipelines
- Large Language Models
- LLM APIs
- Retrieval-Augmented Generation
- AI Agents
- Model Evaluation
- Model Monitoring
- System Design
Job areas
- Technology
- Software
- Data & Analytics
- Engineering
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