20 beste Stellen als machine learning in orbe, vd – aktuell auf Personalsuche

Machine Learning Engineer (Detect & Track Distillation)
Harmattan AI —Lausanne, VD
- 100%
- Mentoring
- Kommunikationsfähigkeit
Senior Quality Specialist
Nestlé —Orbe, VD
- 100%
- Management-Erfahrung
- Englisch
- Master
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
AIML - Machine Learning Researcher, MLR
Apple —Lausanne, VD
- Informatik
- Doktorat
- Forschungserfahrung
Machine Learning Training Infrastructure Engineer
Logitech —Lausanne, VD
- 100%
- Doktorat
- Master
- AWS
- Homeoffice-Möglichkeit
Associate R&D Specialist System Performance
Nestlé —Orbe, VD
- 100%
- Englisch
- Mechanikkenntnisse
- Python
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
Senior AI Machine Learning Engineer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
Direkt bewerben
Edge AI & Connectivity Specialist
Nestlé —Orbe, VD
- 100%
- Englisch
- C++
- Python
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
Senior Specialist Applied Mathematics & Digital Biology
Nestlé —Lausanne, VD
- 100%
- Englisch
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
13 Tage
LLM & Reinforcement Learning Researcher
Swisscoding SA —Lausanne, VD
- Homeoffice
- Master
- Praktikum
- Python
12 Tage
Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- Python
Direkt bewerben
12 Tage
PhD Position in Long-Read Computational Genomics
Centre hospitalier universitaire vaudois —Lausanne, VD
- Datenanalyse
- Englisch
- Master
- Eltern-/Erziehungsurlaub
Post-Training Engineer - Apertus
emploi.epfl.ch —Lausanne, VD
- Homeoffice
- Doktorat
- Forschungserfahrung
- Master
Senior Embedded Systems Engineer
Global ID SA —Lausanne, VD
- CHF 80’000 - CHF 110’000 pro Jahr
- Englisch
- C++
- Linux
Direkt bewerben
4 Tage
Software Developer, circular-construction AI (REON / SXL)
emploi.epfl.ch —Lausanne, VD
- Englisch
- Master
- Python
Senior Engineer/Senior R&D Specialist Systems Innovation
Nestlé —Orbe, VD
- 100%
- Softwareentwicklung
Computer Vision Engineer
Harmattan AI —Lausanne, VD
- 100%
- Doktorat
- Master
- C++
AI Solutions & Delivery Manager
IMD —Lausanne, VD
- Management-Erfahrung
- Englisch
- Master
3 Tage
Chief Architect
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- AWS
- Erfahrung in der IT
Direkt bewerben
Forward Deployed Engineer - Switzerland
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- CAD
- Englisch
PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master

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Machine Learning Engineer (Detect & Track Distillation)

Harmattan AI
Lausanne, VD

Jetzt bewerben

Details zur Stelle

100%

Qualifikationen

Mentoring
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the Role

Harmattan AI is heavily pushing the boundaries of autonomous systems, where the perception of the surrounding world through visual cues is a vital component. To make sense of incoming visual data and enable mission-critical downstream decisions, we have developed custom detection models. As our product and project portfolio expands, we are diversifying our efforts in this space across multiple embedded platforms.

As an ML Research Engineer in the Detect&Track Distillation team, you will join us at a very early stage, giving you a unique opportunity to heavily influence the technical direction of the team. Operating out of Lausanne, Paris, or Zurich, you will focus on taking large foundation models and distilling them into highly optimized, task-specific components. Your work will span target detection, classification, and target re-identification across time, directly tackling the hardware inference constraints of diverse edge and embedded systems.

Responsibilities

Model Distillation & Finetuning: Take large foundation models and compress/distill them into highly specific, efficient components optimized for smaller tasks and target detection.
Edge AI Optimization: Optimize neural networks for constrained embedded systems using techniques such as quantization (PTQ vs. QAT), pruning, and LoRA.
Pipeline Management & MLOps: Build, heavily modify, and manage training, evaluation, and MLOps pipelines while ensuring reproducibility, robust logging, and version control.
Data Curation: Collaborate on data curation and the creation of task-specific datasets to constantly improve model accuracy.
Benchmarking & Evaluation: Framework-level benchmarking of newly distilled models to evaluate performance and latency, ensuring results are fully aligned with real-world operational deployments.
Research & Innovation: Stay at the absolute forefront of scientific trends in computer vision and quantization research to introduce cutting-edge methodologies to the team.
Cross-Functional Collaboration: Work closely with the Detect&Track Foundation team, downstream System Engineers, Project Teams, and Mission Intelligence to deliver robust solutions.
Mentorship: Depending on seniority, support the team by managing or mentoring junior engineers.

Candidate Requirements

Educational Background: A strong academic record with a degree in a STEM field (e.g., Computer Science, Engineering, Mathematics).
Deep Learning & Computer Vision: Proven experience running vision neural networks, developing target detection architectures, or managing re-identification tasks.
Model Compression & Edge AI: Hands-on expertise in knowledge distillation, model compression, and deploying networks onto highly constrained embedded systems or edge hardware (e.g., Jetson, custom NPUs, wearables).
Technical Competence & Infrastructure: Proficiency in MLOps, GPU compute, and building infrastructure (such as training pipeline templates and loggers).
Professional Attributes:
- Highly structured, analytical, task-aligned, and research-oriented.
- Excellent communication and influence skills, with the ability to effectively translate and present complex benchmarking data to downstream users and senior stakeholders.
- Thrives under pressure in a fast-paced environment with a “no-task-is-too-small” mentality toward building foundational team infrastructure.
Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Jetzt bewerben

Erweiterte Suche

machine learning Jobs in orbe, vd

Machine Learning Engineer (Detect & Track Distillation)

Senior Quality Specialist

AIML - Machine Learning Researcher, MLR

Machine Learning Training Infrastructure Engineer

Associate R&D Specialist System Performance

Senior AI Machine Learning Engineer

Edge AI & Connectivity Specialist

Senior Specialist Applied Mathematics & Digital Biology

LLM & Reinforcement Learning Researcher

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

PhD Position in Long-Read Computational Genomics

Post-Training Engineer - Apertus

Senior Embedded Systems Engineer

Software Developer, circular-construction AI (REON / SXL)

Senior Engineer/Senior R&D Specialist Systems Innovation

Computer Vision Engineer

AI Solutions & Delivery Manager

Chief Architect

Forward Deployed Engineer - Switzerland

PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in orbe, vd erhalten

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