Senior Staff Machine Learning Engineer, Risk AI/ML at Coinbase Careers Page

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Feature Exploration, ETL, Visualization, Data Mining, Information Retrieval, Advanced Statistics, Natural Language Processing, Computer Vision, Backend Systems, Data Processing, Analytics, Python, Model Interpretability, Responsible AI

Industry

Financial Services

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. 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. As a Senior Staff Machine Learning engineer at Coinbase, you will be a steward of our architecture, operations, scale, and security. you’ll be building the critical infrastructure for the open financial system -- tapping into a variety of large data sources such as the blockchain -- to provide millions of people access to crypto while detecting and preventing bad actors. You’ll not only have the chance to drive significant impact from protecting Coinbase, you’ll also leverage machine learning to make our product delightful by adding intelligence to news, notifications, risk, and much more. You will help us recruit and develop world-class engineers that represent the best in the industry. You will look outward as well as inward, aligning our executive team and product strategy with changes in technology, and help us create an innovative culture. While you need to be strategic in your thinking, this is also very much a “hands-on” job - there are no ivory towers or “architect-only” roles. You should be able to dive deep into code and implement complex systems where necessary. You must be willing to operate without boundaries and be able and willing to fix problems anywhere you find them. ***Add PG Boilerplate paragraph here.*** What you’ll be doing (ie. job duties): Build and launch excellent productionalized, low-maintenance models. Build features and success metrics by disambiguating requirements. Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining. Setup A/B experiments and iterate until impact is landed. What we look for in you (ie. job requirements): 12+ yrs of industry experience as a machine learning engineer Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc. Experience with data analysis, feature exploration, ETL, and visualization. Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Experience building backend systems at scale with a focus on data processing/machine learning/analytics. 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. Job #: Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $[Zone 3 Pay] to $[Zone 1 Pay] + target bonus + target equity + benefits (including medical, dental, vision and 401(k)). 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 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. 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

Responsibilities

As a Senior Staff Machine Learning Engineer, you will build and launch productionalized models and leverage machine learning techniques to solve various problems across the company. You will also help recruit and develop engineers while aligning technology changes with product strategy.