Machine Learning Systems Engineer

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Design, construct, and manage scalable backend services for a media intelligence platform.

• Take ownership of essential backend components from system design and API specifications to implementation, deployment, monitoring, and continuous improvement.

• Influence architectural decisions related to APIs, processing pipelines, distributed computing, storage solutions, search functionality, observability, and model-serving processes.

• Work in close partnership with engineering leadership to establish backend architecture, enhance reliability and scalability, and mentor fellow engineers in delivering secure, observable, and high-performance systems.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related field with equivalent practical experience.

• 5-7+ years of experience in backend engineering, preferably in developing scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Previous experience in owning significant backend modules from start to finish, including architecture, implementation, deployment, monitoring, and production operations.

• At least 3 years of experience in integrating AI/ML inference systems into backend workflows, encompassing model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Practical experience in creating AI-powered processing pipelines for the analysis of images, videos, audio, or text.

• Hands-on experience with optimizing production models, particularly for image, video, embedding, or multimodal models.

• Proven experience in mentoring engineers, leading technical discussions, and shaping architectural choices.

🏝️ Benefits

• Opportunity to collaborate with a global team.

• Engage with cutting-edge technologies.

• Flexible working arrangements.