Staff GenAI Engineer (APM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff GenAI Engineer (APM): Designing, training, and deploying GenAI/ML models for agentic investigation and incident troubleshooting within the APM product with an accent on automated triaging and model scalability. Focus on building state-of-the-art agentic workflows to optimize application performance visibility and resolve complex system bottlenecks.
Location: Hybrid, New York, New York, USA
Salary: $234,000 USD
Company
is a leading observability and security platform providing unified visibility across the technology stack to manage complexity at scale.
What you will do
- Lead GenAI/ML projects from concept to production within the APM organization.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset and advocating for the end user.
- Guide teams through ambiguity and scaling challenges with clear technical direction.
- Mentor engineers and influence engineering culture through design reviews and technical talks.
Requirements
- BS/MS/PhD in a scientific field or equivalent experience.
- 10+ years of relevant engineering experience with a track record as a technical lead.
- Proven experience leading large-scale GenAI/ML initiatives in a product-driven environment.
- Significant expertise in model deployment, development, training, fine-tuning, or evaluation.
- Must be based in New York, USA to support a hybrid work model.
Culture & Benefits
- Opportunity to build and use professional tools designed for software engineers.
- High level of influence on product direction and business impact.
- Collaborative environment with skilled, knowledgeable, and kind teammates.
- Comprehensive benefits including healthcare, dental, parental planning, and mental health support.
- 401(k) plan with company match and a discounted employee stock purchase plan.
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