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- США
- Зарплата
- 186 065 $ – 225 000 $
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Senior Machine Learning Platform Engineer (Platform)
Отличная вакансия в одной из ведущих крипто-компаний мира с прозрачной и высокой оплатой. Работа над критически важными ML-системами и современный стек технологий делают эту роль крайне привлекательной для профессионального роста.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям распределенных систем, опытом работы с ML-инфраструктурой и специфической корпоративной культурой Coinbase, ориентированной на высокую интенсивность работы. От кандидата ожидается не только написание кода, но и менторство, а также архитектурное проектирование.
Анализ зарплаты
Предлагаемая зарплата ($186k - $225k) находится на верхнем уровне рыночного диапазона для Senior ML Engineer в США. Она полностью соответствует ожиданиям для Tier-1 технологических компаний, особенно с учетом дополнительных бонусов и акций.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Machine Learning Platform Engineer position at Coinbase. With over five years of experience in software engineering and a deep focus on distributed systems, I am drawn to Coinbase’s mission of increasing economic freedom and the high-intensity engineering culture that drives your ML Platform team. My background in building scalable infrastructure aligns perfectly with your goals of optimizing low-latency streaming pipelines and maintaining high-availability for ML inference.
In my previous roles, I have successfully mentored junior engineers and led the design of complex technical systems that treat internal developers as the primary customer. I am particularly excited about the opportunity to work with your tech stack, including Ray, Spark, and Golang, to enhance the foundational components for feature engineering and distributed training. I thrive in environments that demand excellence and am eager to contribute to the robust ML infrastructure that protects Coinbase users and personalizes their experience.
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Описание вакансии
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. You will get the opportunity to apply your engineering skills across all aspects of building ML at scale: stream processing, distributed training, and highly available online services.
What you’ll be doing (ie. job duties):
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
- Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
- Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data.
- Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
- Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.
What we look for in you (ie. job requirements):
- 5+ yrs of industry experience as a Software Engineer.
- You have a strong understanding of distributed systems.
- You lead by example through high quality code and excellent communication skills.
- You have a great sense of design, and can bring clarity to complex technical requirements.
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
- You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level.
Nice to haves:
- Experience building ML models and working with ML systems.
- Experience working on a platform team, and building developer tooling.
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Job ID: P75535
Pay Transparency Notice:Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).
Annual base salary range (excluding equity and bonus):
$186,065—$225,000 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodationsat]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site[click here to download a free compatible screen reader(free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com
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Навыки
- Python
- LLM
- Snowflake
- Airflow
- Distributed Systems
- Spark
- DynamoDB
- Databricks
- Stream Processing
- Ray
- Machine Learning Infrastructure
- Go
- Tecton
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами, что критично для инференса моделей в Coinbase.
Как бы вы спроектировали систему ML-инференса с ультранизкой задержкой для обработки транзакций в реальном времени?
Вакансия подразумевает работу над платформой для других инженеров.
Опишите ваш опыт создания инструментов для разработчиков. Как вы собираете обратную связь и определяете приоритеты функций платформы?
В описании упоминаются Ray и Spark; важно понимать навыки работы с распределенными вычислениями.
С какими основными проблемами масштабирования распределенного обучения моделей вы сталкивались и как их решали?
Coinbase подчеркивает важность качества данных для моделей.
Как реализовать эффективный мониторинг качества данных (data drift) в потоковых конвейерах (streaming pipelines)?
Роль Senior предполагает наставничество.
Расскажите о случае, когда вы помогли младшему инженеру значительно вырасти в профессиональном плане. Каков был ваш подход?
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- Страна
- США
- Зарплата
- 186 065 $ – 225 000 $