About the position

We are looking for an ML Platform Engineer to join our Research and Development department at Squarehead Technology. In this role, you will bridge the gap between data science and software engineering by designing, building, and maintaining scalable machine learning systems to train and evaluate the models. You will also help develop the tools and infrastructure that make models robust, efficient, and production-ready.

You will be working closely with a team of scientists with expertise in signal processing, array technology, audio event detection and tracking, classification, and data science. The position offers an opportunity to work in a collaborative environment where machine learning and signal processing come together in solving real-life engineering problems.

Responsibilities:

Data pipeline development: Design, build, and maintain scalable ETL pipelines and feature stores to ingest, clean, and enrich large datasets for training and inference.
MLOps orchestration: Define and manage end-to-end CI/CD workflows for model training, validation, packaging, and tooling deployment in cloud environments.
Cloud provisioning: Use Terraform to provision and manage networking, data lakes, security, and compute resources (optimise for cost and performance)
Tooling & monitoring: Develop internal libraries, tooling, and monitoring to allow data exploration, model comparison, and live training monitoring

About you

Personality & Interests

We value curiosity, teamwork, and the ability to work independently when needed. We are looking for someone with an interest in machine learning from a software engineering perspective, combined with strong coding skills and the motivation to build robust, reliable systems.

Relevant skills:

Programming & engineering: Proficiency in one or more languages (Python, Go, SQL, TypeScript or C++)
Cloud & DevOps: Hands-on experience with Docker, Terraform, CI/CD, and at least one major cloud provider (GCP, AWS or Azure)
Observability & Reliability: Knowledge of monitoring stacks (Prometheus, Grafana, ELK), logging frameworks
Deep-learning frameworks: Proficiency in TensorFlow and/or PyTorch
System Design: Ability to architect and develop complex, integrated systems that combine diverse technical domains.

Workplace & Benefits

Office location in Nydalen, Oslo, with easy access to the subway
Flexibility on partly remote work by agreement
Staff canteen with subsidised lunch
Organised social and sports activities (Paddel-Tennis in 2025)

Practical

We review applications and invite candidates for interviews on an ongoing basis, so if you are interested in the position, we recommend that you apply quickly.

We work with partners who require confidentiality and have security requirements that we must ensure our employees can comply with. This position may require security clearance.

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