Staff ML Engineer—Production-Scale AI & Systems

DNA325; España; Remote; EUR 90,000 - 125,000; Full time

Benefits offered by this job

Equity

Competitive salary

Job summary

DNA325 is a remote-first AI-native product company shaping everyday digital tasks with machine learning. As a Member of Technical Staff, Machine Learning, you’ll ship production ML components, debug real-world systems, and adapt models in end-to-end pipelines while collaborating with senior engineers and product teams.

You’ll work under real production constraints for latency, cost, and reliability, with compensation plus equity.

Qualifications

• Strong foundations in machine learning and modern neural architectures.
• Some 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 production systems.
• Able to work through ambiguity with guidance, growing ownership over time.

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

Machine Learning

Python

PyTorch

JAX

Job description

DNA325 is a remote-first AI-native product company shaping everyday digital tasks with machine learning. As a Member of Technical Staff, Machine Learning, you’ll ship production ML components, debug real-world systems, and adapt models in end-to-end pipelines while collaborating with senior engineers and product teams.

You’ll work under real production constraints for latency, cost, and reliability, with compensation plus equity.