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Senior Staff Machine Learning Engineer - Platform
Coinbase
·
6-7 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Senior Staff Machine Learning Engineer - Platform
Coinbase India Services
posted 21d ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
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.
About Coinbase
Founded in 2012, Coinbase is on a mission to increase economic freedom for more than 1 billion people globally. With $300+ billion USD traded in a single quarter in 100+ countries, our team of mission-driven overachievers is helping update the centuries-old financial system by establishing itself as the most trusted place for people and businesses to buy, sell, and use crypto.
The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.
As a Senior Staff Machine Learning Engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as youll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.
What you ll be doing (ie. job duties):
- Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
- Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
- Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.
What we look for in you (ie. job requirements):
- 10+yrs of industry experience as a machine learning and software engineer
- Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
- Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
- Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Nice to haves:
- BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
- Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive.
- Experience with Python.
- Experience with model interpretability, responsible AI.
- Experience with data analysis and visualization.
PID - GML07IN
#LI-Remote
#LI-Remote
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and 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 Know Your Rights notice here . 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 accommodations[at]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.
Employment Type: Full Time, Permanent
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based on 6 employees
Strict timing
Rotational Shift
No travel
Night Shift
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