ML Engineer

Project Details

• Industry: Technology solutions for consumer electronics, software, and streaming
• Project language: English
• Project duration: ASAP through September 30, 2026
• Onboarding: Two weeks in Malmö, Sweden
• Start: ASAP or ideally within one week of notice; latest start date is August 3, 2026
• Assignment type: B2B
• Remuneration: Up to 220 PLN/hour net plus VAT
• Work model: Full-time hybrid, with three days per week on-site

Description

The ML Engineer role focuses on the end-to-end development of machine-learning models, including data ingestion, model training, evaluation, and deployment. The role is key to strengthening machine-learning capabilities and delivering improved models for a range of applications.

Responsibilities

• Enhance encoder models to increase model capacity and resolution.
• Develop multi-classification support for diverse map-feature attributes, including a complete data pipeline, model training, and evaluation.
• Port a large-scale inference pipeline to C.
• Develop a CLI and frontend for job management.
• Create a plugin interface for results visualization.
• Migrate CoreML inference to MLX for cross-OS model execution.
• Train a confidence and ranking model using outputs from existing autoregressive models.
• Implement curriculum training by ranking tasks by difficulty and automating progressive training-data scheduling.

Key Requirements

• Proficiency in Python and experience across the full model development lifecycle: data pipelines, training, evaluation, and deployment.
• Strong understanding of encoder architectures, autoregressive models, or self-supervised pre-training methodologies.
• Familiarity with CoreML, MLX, or similar inference frameworks.
• Experience building data pipelines through model serving and frontend integration.

Nice to Have

• Proficiency in C or C++ for inference-porting tasks.
• Knowledge of curriculum learning or training-data scheduling techniques.