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- США
- Зарплата
- 295 250 $ – 345 040 $
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Machine Learning Engineering Manager, Critical Harms
Исключительная позиция в топовой технологической компании с высокой социальной значимостью. Предлагается конкурентная зарплата, работа над сложнейшими задачами и возможность влиять на безопасность миллионов детей по всему миру.
Сложность вакансии
Высокая сложность обусловлена необходимостью совмещать глубокую экспертизу в ML с управленческими навыками в критически важной области безопасности (Critical Harms). Работа с редкими событиями и противодействие злоумышленникам требуют стратегического мышления и высокой ответственности.
Анализ зарплаты
Предложенная зарплата ($295k - $345k) находится на верхнем уровне рыночных ожиданий для Engineering Manager в Кремниевой долине. С учетом бонусов и акций (RSU), совокупный доход может значительно превышать средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Machine Learning Engineering Manager position for the Critical Harms team at Roblox. With a solid background in managing ML engineering teams and a deep commitment to digital safety, I am drawn to Roblox's mission of fostering civility and optimism in immersive 3D experiences. My experience in scaling high-performance teams and delivering robust ML solutions in adversarial environments aligns perfectly with the challenges of detecting predatory behavior and fraud at scale.
Throughout my career, I have focused on building collaborative cultures where engineers can thrive while solving complex technical problems. I am particularly impressed by Roblox's proactive approach to safety and the scale at which your systems operate. I am eager to bring my expertise in ML architecture and team leadership to help protect the Roblox community and contribute to the platform's long-term vision of connecting a billion people safely.
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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?
At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically and proactively detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We also keep the platform compliant for changing regulations and growth markets. We cover a broad area of the tech spectrum, including machine learning, experimentation, automation, highly scalable distributed backend systems, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world.
WHY CRITICAL HARMS?
As an Engineering Manager on Critical Harms, you’ll lead an engineering team to identify and address some of the highest-risk and most critical problems we face, including rare events with sparse data such as predatory behavior, child endangerment, extremism, fraud. Safety and Civility is Roblox's #1 priority, and our mission is to protect our community.
You Will:
- Shape and grow a high-performing engineering team. Support engineers, ranging from junior to principal, in their development.
- Foster a team culture of collaboration, innovation, and engineering excellence; while getting things done.
- Take responsibility for high-scale systems to detect and address problematic content on Roblox. Operate creatively and strategically in a highly adversarial space.
- Own the team’s mission and outcomes. Work with stakeholders to define the team’s roadmap, and ensure execution.
- Partner with Moderation Operations, PM, Data, and stakeholders across Roblox, to develop innovative solutions that ensure the safety of user-generated content.
You Have:
- 2+ years of experience as an engineering manager working in ML space
- Excellence in collaborating with others, and in developing software engineers. You have demonstrated outcomes of facilitating team success.
- A proven track record of technical delivery in high-scale environments with complex constraints
- Ability to contribute to architecture and implementation discussions around high-scale ML systems
- Experience solving difficult problems involving both engineering and non-engineering stakeholders
You Are:
- Resourceful: You're able to navigate tough constraints to find the best solution. You stay laser-focused on the end goal and are adaptable, creative, and strategic to achieve it.
- Solution Oriented: You start with the problem to be solved, and stay laser-focused on getting it solved. You can tackle anything that comes your way, whether it’s a technical problem, a business problem, or a people problem.
- Team Oriented: You are constantly looking at how to make the team stronger – both the team you directly manage, and the team of peers you collaborate with.
Empathetic: You can put yourself in the shoes of anyone – a junior engineer, an executive, an adversarial attacker, a new user – and understand their needs.
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
$295,250—$345,040 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 Engineering
- Engineering Management
- Distributed Systems Architecture
- Data Science
- Product Management Collaboration
- Strategic Planning
Возможные вопросы на собеседовании
Проверка опыта управления и развития талантов разного уровня.
Расскажите о вашем опыте руководства командой инженеров разного уровня (от junior до principal). Как вы адаптируете свой стиль наставничества для каждого?
Оценка технических знаний в области ML применительно к специфике команды.
Как бы вы подошли к проблеме обнаружения редких событий (например, экстремизма или эксплуатации детей) при условии крайне несбалансированных данных?
Проверка умения работать в условиях противодействия (adversarial space).
Опишите случай, когда вам приходилось адаптировать ML-модели в ответ на изменение тактики злоумышленников. Как вы измеряли успех?
Оценка навыков кросс-функционального взаимодействия.
Как вы балансируете технические ограничения ML-систем с требованиями продуктовых менеджеров и операционных команд модерации?
Проверка лидерских качеств и умения расставлять приоритеты.
Как вы формируете дорожную карту команды в условиях неопределенности и высоких рисков, характерных для отдела Critical Harms?
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