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🔥 Viewed by 54 students today✓ Verified Listing

Machine Learning Engineer

CoinbaseCompetition: Moderate • Entry Level
|Remote|By CampusToCareer Editorial Team|Posted 2 days ago|Last verified 2 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jun 25, 2026
💼 Experience Required
2+ Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
Machine Learning Engineer
📌 How to Apply
Click on the Apply button
💰 Salary
₹4,408,400 LPA
Skills Recommended
PythonLLMsdeep learningLangGraphLangSmithGoogle ADKVertex AIAWS BedrockNLPinformation retrievalcomputer visionstatistical modeling
Career Guide • 7 min preparation guide

Complete preparation guide for Machine Learning Engineer

Coinbase is hiring for Machine Learning Engineer (Full-time) in Remote, targeting candidates from the Any batch with 2+ Years experience. The listed compensation is ₹4,408,400 LPA. Key skills mentioned in the listing include Python, LLMs, deep learning, LangGraph. This page goes beyond the raw listing so students can understand what Coinbase usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.

AI editorial content is being generated for this role. Check back shortly for personalized interview questions, salary insights, and skill breakdowns.

Application trackerSkill learning pathsDaily coding practice

Role Preparation Guide

CampusToCareer Editorial

This page is built as a career preparation guide for Machine Learning Engineer at Coinbase. Read the editorial sections below for company context, skill breakdowns, interview preparation, and salary insights. The original employer job description is preserved at the bottom of this page for reference.

💡 Editor's Comprehensive Career Guide for this Role

🏢 About Coinbase & Culture

Coinbase is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Coinbase are integrated into production teams with structured onboarding and mentorship.

📈 Career Progression Pathway

Software Engineers can quickly transition from SDE 1 to SDE 2, Tech Lead, Principal Engineer, or Software Architect, directing product architecture and mentoring junior developers.

💰 Salary & Compensation Insights

Software development remains one of the highest-paying entry domains, with stipends and packages scaling rapidly depending on backend mastery and problem-solving capability.

⚡ Recruitment & Selection Process

1
Online Coding Assessment2-3 standard data structures problems (typically arrays, strings, dynamic programming) to solve within 90 minutes.
2
Technical Interview 1DSA coding review, dry runs, optimization of time/space complexity, and code clean-up.
3
Technical Interview 2System design basics (APIs, databases, caching layers) and project walkthrough.
4
HR & Culture RoundLeadership Principles, scenario based behavioral questions, and salary discussion.

CampusToCareer Analysis

⭐ Original AnalysisLast Verified: Jun 25, 2026

🎯 Should You Apply?

✓ Suitable for:

  • Computer Science graduates
  • Self-taught coders with strong portfolios
  • Students interested in software development

✗ Not ideal if:

  • Seeking non-technical support roles
  • Comfortable only with drag-and-drop tool designs

⚡ Difficulty Level

Application DifficultyHard
Expected CompetitionVery High
Interview Rounds3–5 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.

🎓 What You Will Learn

Skills you may develop through this role:

  • Python
  • LLMs
  • deep learning
  • Production-grade software construction

📝 How to Prepare

  1. Practice medium-level coding questions (arrays, strings, trees) on LeetCode
  2. Build fullstack projects demonstrating standard backend/frontend interfaces
  3. Understand database indexes, joins, and normalizations
  4. Be ready to draw and explain your project system designs

📄 Resume Match Tips

Highlight these on your resume to stand out:

  • List your GitHub profile link with pinned project repositories
  • Highlight competitive programming ratings or coding certificates
  • Clearly list tech stacks (e.g. React, Express) next to each project description
⚠️

Reality Check

This is a high-intensity software coding role. Technical assessment rounds can be demanding, and you will be expected to learn large codebases quickly.

❓ Frequently Asked Questions

Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
Apply Now
Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Machine Learning Engineer

Remote - India

Job ID#: P77099

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 CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively.

We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable.

What you'll do:

Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.

Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.

Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.

Contribute to system design, coding standards, and AI/ML development best practices across the team.

Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.

Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.

Required Skills and Experience:

2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.

Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.

Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.

Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.

Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.

Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.

Pay Transparency Notice: 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, and vision).

Annual base salary range (excluding equity and bonus):

₹4,408,400—₹4,408,400 INR

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.

AI Disclosure: 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. 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. Coinbase will not use AI to make decisions impacting employment.