Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Applied AI Scientist (Auth0) (AI/ML, identity security): Building production-grade AI products and models for authentication, authorization, and AI-agent security with an accent on end-to-end model development, evaluation workflows, and product innovation. Focus on designing and training models, fine-tuning and aligning language models, and balancing quality, security, latency, and cost.
Location: Hybrid role requiring attendance at a local office three times per week in Bellevue, Chicago, New York, San Francisco, or Washington, DC.
Salary: $244,000–$335,500 or $274,000–$376,200 USD annual base salary, depending on work location.
Company
Identity and access management company developing trusted infrastructure for organizations, developers, and AI applications.
What you will do
- Model and solve authentication and security problems using AI and machine learning.
- Lead end-to-end model development, from selecting the appropriate approach through deployment and iteration.
- Train traditional machine learning models and fine-tune or align small and large language models.
- Create and maintain evaluation and training datasets, workflows, and supporting infrastructure.
- Take ideas from research through prototypes and product recommendations.
- Evaluate solutions across quality, security, latency, and cost.
Requirements
- 8+ years of experience in machine learning or applied research roles.
- Experience leading multiple 0-to-1 AI or ML projects and shipping practical systems.
- Strong Python, machine learning frameworks, and software engineering skills.
- Ability to understand computer systems and apply that knowledge to complex technical problems.
- Strong customer empathy, problem-solving, communication, and collaboration skills.
- Ability to work from one of the listed US office locations and attend the local office three days per week.
Nice to have
- Experience building security-related products.
- Experience publishing research papers or open-sourcing results.
Culture & Benefits
- Hands-on ownership with independence to define technical direction and experiment quickly.
- Opportunity to shape new AI products from 0 to 1 within an early-stage product team.
- Health, dental, and vision insurance.
- 401(k), flexible spending account, paid time off, and parental leave.
- Equity and bonus opportunities where applicable.
- In-person onboarding designed to support connection and impact.
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