ML Engineer

Technology solutions company in consumer electronics, software, and streaming industry working with a global enterprise Swedish client.

• Proficient in Python with experience in full model development lifecycle including 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 to 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.

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