- Страна
- США
- Зарплата
- 218 025 $ – 256 500 $
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Staff Machine Learning Engineer - Platform (Core AI Automation)
Отличная вакансия в топовой криптокомпании с высокой зарплатой и возможностью работать с передовыми технологиями (LLM, GenAI). Высокий балл за прозрачность оплаты и сильную инженерную культуру, несмотря на предупреждение об интенсивности работы.
Сложность вакансии
Высокая сложность обусловлена требованием 8+ лет опыта, необходимостью глубоких знаний в LLM и распределенных системах, а также специфической 'интенсивной' культурой Coinbase. Роль уровня Staff подразумевает не только техническое лидерство, но и стратегическое планирование.
Анализ зарплаты
Предложенная зарплата ($218k - $256k) находится на верхнем уровне рыночных значений для Staff-позиций в США, особенно учитывая дополнительные бонусы и опционы. Это конкурентоспособное предложение даже для Tier-1 технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Machine Learning Engineer position within the Core Automation Team at Coinbase. With over 8 years of experience in software engineering and machine learning, I have a proven track record of building and scaling production-grade ML systems. My background in developing high-quality Python code and my expertise in Large Language Models (LLMs) align perfectly with your mission to streamline operations and enhance customer experiences through AI.
Throughout my career, I have successfully led complex technical projects and mentored junior engineers to maintain high standards of excellence. I am particularly drawn to Coinbase's intense and high-caliber culture, as I thrive in environments that challenge me to solve the company's hardest problems. I am eager to leverage my skills in GenAI frameworks and data processing to contribute to the development of the emerging onchain platform and the future global financial system.
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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.
The Core Automation Team is a highly driven and innovative group dedicated to developing AI infrastructure and automation solutions that enhance productivity, foster innovation, and create meaningful customer impact across Coinbase. Our mission is to streamline operations for customer support and compliance teams while delivering exceptional customer experiences. As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions.
What you’ll be doing (ie. job duties):
- Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
- Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
- Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
- Develop high-quality, well-tested Python code to address critical product and business needs.
- Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
- Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
- Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
- Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.
What we look for in you (ie. job requirements):
- 8+ years of experience in machine learning and software engineering.
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
- Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
- Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
- Ability to write high-quality, well-tested code that effectively addresses customer needs.
- Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.
- Passion for building an open financial system that connects the world.
- Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.
Nice to haves:
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
- Familiarity with model interpretability and responsible AI practices.
- Expertise in data analysis and visualization.
Job #: P74155
\*Answers to crypto-related questions may be used to evaluate your onchain experience.
#LI-Remote
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):
$218,025—$256,500 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
- Machine Learning
- Large Language Models
- Deep Learning
- Natural Language Processing
- Apache Airflow
- Apache Spark
- Apache Flink
- Apache Kafka
- Snowflake
- Databricks
- Data Mining
- Information Retrieval
- Computer Vision
Возможные вопросы на собеседовании
Проверка опыта проектирования систем, способных обрабатывать огромные объемы данных Coinbase.
Опишите архитектуру ML-системы, которую вы спроектировали и масштабировали для работы в реальном времени. С какими узкими местами вы столкнулись?
Оценка практических навыков работы с современными языковыми моделями, что является ключевым для команды Core Automation.
Как бы вы подошли к оптимизации LLM для специфических задач клиентской поддержки, учитывая необходимость точности и безопасности ответов?
Роль Staff требует умения направлять команду и принимать архитектурные решения.
Расскажите о случае, когда вам пришлось убеждать стейкхолдеров в необходимости изменения технического вектора развития продукта. Каков был результат?
Проверка соответствия культуре компании, которая ценит прямолинейность и постоянное развитие.
Как вы относитесь к культуре радикальной обратной связи и как она помогала вам 'повышать уровень' (level up) в прошлом?
Проверка навыков работы с данными, специфичными для криптоиндустрии.
Какие особенности блокчейн-данных необходимо учитывать при обучении моделей для выявления аномалий или комплаенса?
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- Страна
- США
- Зарплата
- 218 025 $ – 256 500 $