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Practising for the listing Senior Machine Learning Engineer. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Senior Machine Learning Engineer
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase .

The ML & Discovery team in Consumer Growth builds the machine learning systems that help millions of customers discover what to trade and engage with next across crypto, equities, derivatives, and prediction markets. Our models and platforms power personalized feed and asset ranking, intelligent notification orchestration, and LLM-driven market insights across the Coinbase app. As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and modeling to production serving and online A/B experimentation. Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engineering quality bar, and use AI-native workflows to deliver measurable business impact.

What you’ll do:

• Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurable lifts in user engagement, retention, and trading activity.

• Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models that serve personalized experiences to millions of users across crypto, equities, derivatives, and prediction markets.

• Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigue and improving user experience.

• Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized financial content.

• Architect resilient, low-latency model serving services and real-time feature pipelines, eliminating technical debt, leading incident response, and raising our operational reliability bar.

• Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that multiply team velocity.

Required Skills and Experience:

• 5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems that move customer and business metrics.

• Proven track record in one or more relevant domains: recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.

• Strong software engineering and data skills in a backend language like Python or Go, with hands-on proficiency in modern ML and data stacks (such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton).

• Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and design/interpretation of online A/B experiments tied to business metrics.

• Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

P77866

#LI-Remote

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):
$213,750 — $225,000 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.

• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

• US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation.

• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial .

• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

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Requirements found

Marketing Python (must) Training (must)

What this posting asks for

Level: Senior — The title says "Senior".

Main responsibilities

Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurab…
Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models that serve personalized experiences to millions of users across cryp…
Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigu…
Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized fina…
Architect resilient, low-latency model serving services and real-time feature pipelines, eliminating technical debt, leading incident response, and raising o…
Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that mult…

Competencies an interviewer will look for

Technical skill Core
In the posting: “As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and mo…” · “Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engi…” · “Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that mult…”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Ownership and accountability Core
In the posting: “As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and mo…” · “Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurab…” · “Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
Customer focus Core
In the posting: “The ML & Discovery team in Consumer Growth builds the machine learning systems that help millions of customers discover what to trade and engage with next ac…” · “Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigu…” · “5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems that move customer and…”
Show it by: Puts the customer's need in their own words; Shows a result for the customer, not only for the company.
Data and analysis Core
In the posting: “Our models and platforms power personalized feed and asset ranking, intelligent notification orchestration, and LLM-driven market insights across the Coinbas…” · “Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engi…” · “Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized fina…”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engi…” · “Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurab…” · “Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized fina…”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Leadership and mentoring Core
In the posting: “Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that mult…” · “Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
Teamwork and collaboration Supporting
In the posting: “Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that mult…”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a task you took from start to finish without anyone asking you to. From this posting
Describe a time you went out of your way to solve a customer's problem. From this posting
Tell me about a time you used data or numbers to make a decision. From this posting
How have you used python in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using training. From this posting
Tell me about a time you helped someone on your team get better at their work. From this posting
Describe a time you worked with another team to deliver something. What was your part? From this posting
This posting reads as Finance & accounting: its questions come first.
Tell me about a time you found an error in a financial report or reconciliation. Finance & accounting
Walk me through how you build a budget or forecast. Finance & accounting
It is the last day of month-end close and a balance will not tie out. What do you do? Finance & accounting
Describe a time you explained a financial result to a manager outside finance. Finance & accounting
How do you make sure your work holds up in an audit? Finance & accounting
Tell me about an analysis that saved money or found revenue. Finance & accounting
Three urgent requests arrive during close. How do you decide the order? Finance & accounting
Describe a finance process you made faster or more reliable. Finance & accounting
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
Two managers ask you to book the same room at the same time. What do you do?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
Tell me about a sale or agreement you are proud of.
A prospect says your price is too high. How do you respond?
How do you keep your pipeline organised?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?
Walk me through how you would check whether a report's numbers are right.