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Senior Machine Learning Engineering Manager
Исключительно привлекательная вакансия в топовой технологической компании с очень высокой компенсацией. Роль предлагает работу над социально значимыми задачами безопасности с использованием самых современных технологий ИИ (VLM, Foundation Models) на огромном масштабе.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокую техническую экспертизу в области мультимодальных LLM и Vision-моделей с управленческим опытом в масштабах систем Roblox. Требуется опыт работы с высоконагруженными микросервисами и умение принимать решения в условиях высокой неопределенности.
Анализ зарплаты
Предлагаемая зарплата ($345k - $399k) находится на верхнем пределе рыночного диапазона для Senior Engineering Manager в Кремниевой долине. С учетом бонусов и опционов (Equity), совокупный доход значительно превышает средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Machine Learning Engineering Manager position for Safety AI Systems at Roblox. With over five years of experience building large-scale production ML systems and a deep background in vision-language models, I am excited by the opportunity to lead a team dedicated to ensuring the safety and civility of Roblox's immersive 3D experiences. My experience in architecting multimodal model pipelines and managing high-performing engineering teams aligns perfectly with your mission to connect a billion people with optimism.
Throughout my career, I have successfully navigated the complexities of deploying foundation models and managing the trade-offs between system performance and real-time moderation needs. I am particularly drawn to Roblox's unique challenge of multi-verse content understanding across avatars, audio, and code. I am confident that my technical expertise in distributed systems and my commitment to fostering an inclusive, high-accountability team culture will allow me to drive significant impact within your Trust & Safety organization.
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Откликнитесь в roblox уже сейчас
Присоединяйтесь к Roblox, чтобы возглавить разработку передовых систем безопасности на базе ИИ и защитить миллиард пользователей!
Описание вакансии
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Why Safety AI Systems?
As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites.
In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences.
You Will
- Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.
- Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.
- Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.
- Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.
- Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders.
- Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
- Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.
You Have
- 5+ years of experience building large-scale machine learning systems in production environments.
- Proven track record of designing, developing, and launching ML models from scratch into production.
- 2+ years of hands-on experience with vision language models or other foundation model technologies.
- Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale.
- Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces.
- Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact.
- Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals.
- High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members.
- Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines).
- Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning.
You Are
- Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact.
- An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team.
- A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact.
- Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations.
- Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus.
- Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute.
- Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$345,040—$399,420 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
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Навыки
- Machine Learning
- Vision Language Models
- Distributed Systems
- Microservices Architecture
- Python
- PyTorch
- TensorFlow
- Scalable Data Pipelines
- Cloud Services
- Multimodal AI
Возможные вопросы на собеседовании
Проверка опыта работы с конкретными технологиями, указанными в вакансии (VLM).
Расскажите о вашем опыте внедрения Vision Language Models (VLM) в продакшн: с какими основными проблемами задержки (latency) и точности вы столкнулись?
Оценка лидерских качеств и умения развивать команду.
Как вы подходите к менторству опытных инженеров и разрешению технических конфликтов внутри команды при выборе архитектуры модели?
Проверка продуктового мышления и умения работать с метриками безопасности.
Как бы вы определили и сбалансировали метрики точности (precision) и полноты (recall) в системе модерации контента, чтобы не ограничивать свободу самовыражения пользователей?
Оценка навыков управления проектами в сложной среде.
Опишите случай, когда вам пришлось декомпозировать амбициозную долгосрочную цель в области ИИ на итеративную дорожную карту. Как вы обеспечивали ценность на каждом этапе?
Проверка навыков кросс-функционального взаимодействия.
Как вы выстраиваете коммуникацию с отделами политики (Policy) и продукта, когда технические ограничения ИИ-системы не позволяют реализовать их требования в полной мере?
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- Страна
- США
- Зарплата
- 345 040 $ – 399 420 $