5 дней назад
Principal Machine Learning Engineer - Central AI
196 461 - 309 025$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer - Central AI (AI/Machine Learning): Building foundational AI infrastructure, data pipelines, frameworks, models, search, knowledge discovery, and conversational capabilities across Atlassian products with an accent on machine learning algorithms, model architecture, and experimentation. Focus on designing scalable systems, evaluating sophisticated models, integrating AI functionality across products, and mentoring emerging ML engineers.
Location: Remote; can hire in any country where it has a legal entity. Offices and listed pay zones include Bellevue, Mountain View, and Seattle, United States.
Base salary in the United States: $196,461–$256,491 for Zone C, $213,030–$278,123 for Zone B, or $236,700–$309,025 for Zone A, plus possible benefits, bonuses, commissions, and equity.
Company
develops software products that help teams collaborate and manage different types of work.
What you will do
- Develop and implement advanced machine learning algorithms and sophisticated models.
- Build foundational AI infrastructure, data pipelines, frameworks, and shared capabilities for products.
- Design machine learning system and model architectures.
- Conduct experimentation and rigorous model evaluations.
- Collaborate with product, engineering, and analytics teams to integrate AI functionality into products and services.
- Guide and mentor emerging machine learning engineers.
Requirements
- Principal-level experience in machine learning engineering or a closely related field.
- Experience developing machine learning algorithms and training sophisticated models.
- Experience designing system and model architectures and evaluating model performance.
- Ability to collaborate across product, engineering, and analytics teams.
- Ability to work remotely from a country where has a legal entity.
Culture & Benefits
- Distributed-first work model with the option to work remotely, from an office, or through a combination of both.
- Virtual interviews and onboarding.
- Health and wellbeing resources.
- Paid volunteer days and additional benefits supporting employees and their families.
- Accommodation and adjustments are available during the recruitment process.
Hiring process
- Interviews and onboarding are conducted virtually.
- Identity verification may be required as a condition of employment.
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