Assistant Data-Scientist - Machine Learning H/F
Extreme Networks
Staff Data Scientist (Gen AI, Machine Learning)
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
Advance with us and help shape the future of network intelligence.
Serve as a thought leader, shaping long-term ML strategy and driving innovation across products and platforms
Lead research and development of novel ML, GenAI, and Graph ML techniques, and translate cutting-edge research into scalable production systems
Guide end-to-end solution development including model design, experimentation, validation, deployment, and operations at scale
Mentor engineers and scientists, fostering a culture of technical excellence and cross-functional collaboration
Extend ML libraries, frameworks, and infrastructure to accelerate experimentation and production integration
Degree in Computer Science, Mathematics, or a related field
- 5+ years of experience researching and delivering ML solutions in production
- Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
- Experience developing Graph ML and Graph technologies such as GNNs and GraphRAG
- Strong background across the full SDLC: design, coding, reviews, testing, deployment, and operations
- Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)
- MS/PhD in Computer Science, Machine Learning, or a related discipline
Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Hudi, Druid, and Glue
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us.
$60k - $76k per year
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