Staff ML Engineer — Production-Grade AI Systems

ActAI; Ireland; On-site; EUR 90,000 - 130,000; Full time

Job summary

ActAI is building proactive AI-powered products and seeks a Member of Technical Staff, Machine Learning, to ship core ML components in production from day one. You will work on real systems, learning how large-scale ML behaves outside of research settings.

Join a hands-on team focusing on data, training, evaluation and inference, fine-tuning models, maintaining data pipelines, debugging, and delivering measurable improvements with engineers, product and research colleagues.

Qualifications

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Curious, coachable, and eager to learn from real systems in production.

Responsibilities

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety.

Skills

Python

PyTorch

JAX

GPU programming

Data pipelines

Tools

CUDA

PyTorch

JAX

Job description

ActAI is building proactive AI-powered products and seeks a Member of Technical Staff, Machine Learning, to ship core ML components in production from day one. You will work on real systems, learning how large-scale ML behaves outside of research settings.

Join a hands-on team focusing on data, training, evaluation and inference, fine-tuning models, maintaining data pipelines, debugging, and delivering measurable improvements with engineers, product and research colleagues.