Coinbase: Senior Machine Learning Engineer — Remote - India

About Coinbase

Coinbase works on digital-asset and financial technology, with its recruitment material discussing an open financial system and crypto-related markets. Its advertised business activities connect consumer and business products with engineering, financial operations and regulated-market development. The company describes local product initiatives alongside the compliance, policy and operational work needed to support them. This gives the business both a technology dimension and a financial-services context, with product delivery linked to the requirements of the markets in which it operates.

The position and its setting

Coinbase lists Senior Machine Learning Engineer in Remote - India, under reference 7739592. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Enterprise Applications
• Employer listing date: 10 June 2026

Responsibilities and work described

• Architecture: and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment
• Building: production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products
• Leadership: end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery
• Establishment: best practices for system design, coding standards, and AI/ML development workflows across the team
• Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team
• Research / execution: design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance
• Required Skills and

Essential requirements and candidate background

• 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale
• Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock
• Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code
• Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling
• Ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow 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)

Preferred experience and additional strengths

• ₹6,612,600 — ₹6,612,600 INR
• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period
• 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
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• 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

Location, schedule and contract conditions

• Work arrangement: Remote
• Advertised location: Remote - India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Machine Learning Engineer vacancy is not an offer for reference 7739592; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Coinbase

Applications follow the official employer page linked below.

Open the official Coinbase posting below and match the title and reference 7739592.

Compare your qualifications and experience with the essential conditions for the Remote - India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• AWS
• AI/ML
• LLMs
• machine learning
• AI
• stakeholder management