Machine Learning Engineer

Company Description

MARC is a residential property maintenance software company based in Dublin. We are building AI Agents for property management. We are developing state-of-the-art ML models and agentic systems to power our AI-native platform to streamline and expedite the residential repair process for tenants, firms, and contractors involved. 

This is an incredibly large market with less than a handful of players worldwide, who have all traditionally focused on legacy processes and technology. We recently had to close a very large and oversubscribed angel round, in a tough raising environment and in little over a month, we were 30% oversubscribed on the round. We are now backed by a who’s who of highly successful Irish founders with several large 9-figure exits. 

We are already working with the largest property managers in Ireland. With a diverse customer base across the UK and Ireland, we’re now seeing significant demand from major European firms eager to adopt MARC’s agentic solutions. Our thesis is that the proptech (Property Technology) industry is ripe for disruption and a perfect match for the recent breakthrough advances in AI. This technology has yet to be deployed in Europe or at scale anywhere globally. We believe these agentic solutions will transform this global industry.

Role Description

This is a full-time hybrid/flex role for a Lead AI Engineer at MARC based in Dublin, Ireland. The successful candidate will be responsible for developing state-of-the-art ML models and agentic systems to automate manual processes.

Qualifications

• Expert-level coding experience in a language such as Python e.g. familiarity with GIL & dis (Python)
• Strong experience designing, building and maintaining production or mission-critical ML systems in cloud environments such as AWS.
• Strong ML fundamentals and deep learning expertise.
• Excellent data engineering foundations and experience building data-intensive products.
• Working knowledge of prompt caching or KV caching techniques.
• Experience leading successful projects using OpenAI (or similar Google/Anthropic) APIs, such as the Chat Completions and Assistants API.
• Opinionated with strong expertise in modern software engineering best practices, source control (e.g. git), and cloud infrastructure automation tools such as Terraform.
• Strong communication and collaborative skill set.
• Team player mindset and bias to action
• Excellent prioritisation skills and ability to deliver projects effectively on a tight schedule.
• Ability to work both independently and collaboratively.
• Strong opinions loosely held mindset.

Nice to have

• AI research experience, conference publications, or experience competing in ML competitions e.g. (Kaggle).
• HW accelerator (GPU/TPU) or distributed training experience.
• Experience training or fine-tuning large models (10b+ parameters).
• Interest in disrupting traditional business models with generative AI.