Prior Labs
Senior ML Infrastructure Engineer(m/w/x)
Vollzeitnur vor OrtSenior
Freiburg im Breisgau, Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
INIntercom
Senior+ AI Infrastructure Engineers(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Implementing training pipelines for transformer and LLM models at AI customer service company. Low-level GPU coding (CUDA, Triton) required. Hybrid work, annual bonus, and equity.
Anforderungen
- Model training or inference at scale
- Low-level GPU coding (e.g. CUDA, Triton)
- 5+ years software engineering experience
- Shipping high-quality products or platforms
- Degree in Computer Science, Computer Engineering, or related field
- Equivalent experience with strong fundamentals
- Model training (especially transformers and LLMs)
- Model inference at scale (especially transformers and LLMs)
- Low-level GPU work (e.g. CUDA or Triton kernels)
- Working in production environments at meaningful scale
- Clear communication of technical topics
- Close collaboration with engineers and non-engineers
- Strong technical fundamentals
- Love of learning and self-development
- Deep knowledge of at least one programming language
- Ability to write clean, reliable code
- Ability to learn new stacks quickly
- Experience at AI native companies training/running inference
- Experience running training or inference on Kubernetes
- Experience with AWS or other major cloud providers
- Production experience with Python in ML or infrastructure
- Passion for technology (personal projects, open source, etc.)
Aufgaben
- Implement training pipelines for large transformer and LLM models
- Scale data ingestion and preprocessing processes
- Optimize distributed training and evaluation
- Build low-latency, high-reliability inference services
- Optimize inference services for autoscaling, routing, and fallbacks
- Tune GPU kernels for performance
- Improve GPU utilization
- Identify and resolve bottlenecks in training and inference
- Collaborate with ML scientists on cutting-edge methods
- Bring advanced training and inference methods to production
- Mentor and develop other engineers
- Hire new engineers
- Raise technical standards
- Enhance reliability and operational excellence
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- CUDA
- Triton
- Python
- Kubernetes
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working policy
- Flexibility to work from home
Boni & Prämien
- Annual bonus
Attraktive Vergütung
- Equity
- Regular compensation reviews
Sonstige Vorteile
- Unlimited access to Claude Code
Moderne Technikausstattung
- Access to best-in-class AI tools
- MacBook provided
- Windows laptop option
Mehr Urlaubstage
- Generous paid time off
Team Events & Ausflüge
- Fun events
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Intercom erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Helsing
AI Research Engineer - ML Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München - Langdock
Engineering Department(m/w/x)
Vollzeitnur vor OrtKeine AngabeBerlinab 140.000 / Jahr - SumUp
Senior AI Backend Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr
INIntercom
Senior+ AI Infrastructure Engineers(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Implementing training pipelines for transformer and LLM models at AI customer service company. Low-level GPU coding (CUDA, Triton) required. Hybrid work, annual bonus, and equity.
Anforderungen
- Model training or inference at scale
- Low-level GPU coding (e.g. CUDA, Triton)
- 5+ years software engineering experience
- Shipping high-quality products or platforms
- Degree in Computer Science, Computer Engineering, or related field
- Equivalent experience with strong fundamentals
- Model training (especially transformers and LLMs)
- Model inference at scale (especially transformers and LLMs)
- Low-level GPU work (e.g. CUDA or Triton kernels)
- Working in production environments at meaningful scale
- Clear communication of technical topics
- Close collaboration with engineers and non-engineers
- Strong technical fundamentals
- Love of learning and self-development
- Deep knowledge of at least one programming language
- Ability to write clean, reliable code
- Ability to learn new stacks quickly
- Experience at AI native companies training/running inference
- Experience running training or inference on Kubernetes
- Experience with AWS or other major cloud providers
- Production experience with Python in ML or infrastructure
- Passion for technology (personal projects, open source, etc.)
Aufgaben
- Implement training pipelines for large transformer and LLM models
- Scale data ingestion and preprocessing processes
- Optimize distributed training and evaluation
- Build low-latency, high-reliability inference services
- Optimize inference services for autoscaling, routing, and fallbacks
- Tune GPU kernels for performance
- Improve GPU utilization
- Identify and resolve bottlenecks in training and inference
- Collaborate with ML scientists on cutting-edge methods
- Bring advanced training and inference methods to production
- Mentor and develop other engineers
- Hire new engineers
- Raise technical standards
- Enhance reliability and operational excellence
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- CUDA
- Triton
- Python
- Kubernetes
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working policy
- Flexibility to work from home
Boni & Prämien
- Annual bonus
Attraktive Vergütung
- Equity
- Regular compensation reviews
Sonstige Vorteile
- Unlimited access to Claude Code
Moderne Technikausstattung
- Access to best-in-class AI tools
- MacBook provided
- Windows laptop option
Mehr Urlaubstage
- Generous paid time off
Team Events & Ausflüge
- Fun events
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Intercom erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Intercom
Branche
IT
Beschreibung
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Noch nicht perfekt?
- Prior Labs
Senior ML Infrastructure Engineer(m/w/x)
Vollzeitnur vor OrtSeniorFreiburg im Breisgau, Berlin - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München - Langdock
Engineering Department(m/w/x)
Vollzeitnur vor OrtKeine AngabeBerlinab 140.000 / Jahr - SumUp
Senior AI Backend Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr