Edge AI ML Engineer: Distillation & Detection

Harmattan AI; Paris; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Harmattan AI is seeking an ML Research Engineer to distill large foundation models into efficient, task-specific components for edge devices. You will work across Paris, Lausanne, or Zurich, shaping the technical direction of an early-stage team and collaborating with cross-functional partners.

The role emphasizes advancing vision models, quantization methods, and robust ML pipelines while mentoring junior engineers as needed.

Qualifications

• Strong academic record in STEM fields.
• Experience with vision models and re-identification tasks.
• Hands-on knowledge distillation and edge deployment.
• Proficiency with GPUs and ML pipelines.

Responsabilités

• Distill large foundation models into compact, task-specific components.
• Optimize neural networks for constrained embedded systems.
• Build and manage training, evaluation, and MLOps pipelines.
• Collaborate with cross-functional teams and mentor juniors.
• Stay at the forefront of CV and quantization research.

Connaissances

Deep Learning

Computer Vision

Knowledge Distillation

Edge AI

MLOps

GPU Compute

Data Curation

Formation

STEM degree in Computer Science/Engineering/Math

Outils

Jetson

NPUs

Embedded Hardware

ML Ops tooling

Description du poste

Harmattan AI is seeking an ML Research Engineer to distill large foundation models into efficient, task-specific components for edge devices. You will work across Paris, Lausanne, or Zurich, shaping the technical direction of an early-stage team and collaborating with cross-functional partners.

The role emphasizes advancing vision models, quantization methods, and robust ML pipelines while mentoring junior engineers as needed.