Dein persönlicher KI-Karriere-Agent
Staff Machine Learning Engineer, AI Applications(m/w/x)
Scaling knowledge mining from diverse data sources for AI-powered support systems. Hands-on retrieval-augmented systems experience required. Stock options, wellness perks.
Anforderungen
- Hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI
- Understanding of drivers for high-quality grounded responses
- Experience in knowledge-heavy or policy-constrained domains
- Understanding of correctness, consistency, and trust in domains
- Experience building feedback loops for system improvements
- Ability to operate at strategic and hands-on levels
- Defining long-term direction
- Diving into data, experiments, and failure analysis
- Strong communication skills
- Strong stakeholder management skills
- Ability to align engineering, product, and operations
- Experience with LLM-based pipelines or agentic AI systems (strong plus)
- Experience in tool use, routing, memory, multi-step reasoning, or human-AI orchestration (strong plus)
- Drive, intelligence, and integrity
Aufgaben
- Align AI system behavior with business goals and customer experience standards
- Improve answer quality, consistency, and escalation behavior
- Build and scale knowledge mining capabilities from various data sources
- Transform conversations and support tickets into reusable knowledge assets
- Develop and maintain evaluation strategies for LLM-powered support systems
- Create offline benchmarks, golden datasets, and human review workflows
- Conduct online experimentation and track production quality metrics
- Establish feedback loops for continuous improvement of automation quality
- Integrate production failures and human corrections into model behavior
- Collaborate with engineers on AI application infrastructure
- Contribute ML expertise to tool-use quality, routing behavior, and memory quality
- Influence technical direction and roadmap across teams
- Clarify trade-offs in model behavior, retrieval quality, and business impact
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- retrieval-augmented systems
- LLM-based pipelines
- agentic AI systems
Benefits
Gesundheits- & Fitnessangebote
- Wellness perks
Attraktive Vergütung
- Stock option package
Karriere- und Weiterentwicklung
- Career opportunities
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Staff Machine Learning Engineer, AI Applications(m/w/x)
Scaling knowledge mining from diverse data sources for AI-powered support systems. Hands-on retrieval-augmented systems experience required. Stock options, wellness perks.
Anforderungen
- Hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI
- Understanding of drivers for high-quality grounded responses
- Experience in knowledge-heavy or policy-constrained domains
- Understanding of correctness, consistency, and trust in domains
- Experience building feedback loops for system improvements
- Ability to operate at strategic and hands-on levels
- Defining long-term direction
- Diving into data, experiments, and failure analysis
- Strong communication skills
- Strong stakeholder management skills
- Ability to align engineering, product, and operations
- Experience with LLM-based pipelines or agentic AI systems (strong plus)
- Experience in tool use, routing, memory, multi-step reasoning, or human-AI orchestration (strong plus)
- Drive, intelligence, and integrity
Aufgaben
- Align AI system behavior with business goals and customer experience standards
- Improve answer quality, consistency, and escalation behavior
- Build and scale knowledge mining capabilities from various data sources
- Transform conversations and support tickets into reusable knowledge assets
- Develop and maintain evaluation strategies for LLM-powered support systems
- Create offline benchmarks, golden datasets, and human review workflows
- Conduct online experimentation and track production quality metrics
- Establish feedback loops for continuous improvement of automation quality
- Integrate production failures and human corrections into model behavior
- Collaborate with engineers on AI application infrastructure
- Contribute ML expertise to tool-use quality, routing behavior, and memory quality
- Influence technical direction and roadmap across teams
- Clarify trade-offs in model behavior, retrieval quality, and business impact
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- retrieval-augmented systems
- LLM-based pipelines
- agentic AI systems
Benefits
Gesundheits- & Fitnessangebote
- Wellness perks
Attraktive Vergütung
- Stock option package
Karriere- und Weiterentwicklung
- Career opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bolt Technology
Branche
IT
Beschreibung
The company is one of the fastest-growing tech companies in Europe and Africa, aiming to make cities for people, not cars.
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