
Machine Learning Engineer
Posted Jul 30

Posted Jul 30
This is a fully remote position, open to applicants in India.
β’ Design and enhance the orchestration layer responsible for managing state transitions, sharing context, and routing intents across both vendor and internal LLM frameworks within a distributed conversational environment.
β’ Create production-grade Python services that connect advanced AI and ML capabilities with dependable customer-facing products.
β’ Lead well-defined ML projects from concept to execution, skillfully balancing technical trade-offs while collaborating with various teams.
β’ Contribute to system architecture, coding standards, and best practices in AI/ML development throughout the team.
β’ Collaborate with engineers and cross-functional partners to develop secure, scalable, and high-performing AI-driven experiences.
β’ Engage in design reviews and ensure that features align with Coinbase's standards for security, compliance, and performance.
β’ Over 2 years of professional experience in machine learning and software engineering, with a track record of delivering production-grade ML services.
β’ Practical experience working with contemporary AI architectures such as LLMs and deep learning, along with familiarity with tools like LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
β’ Strong command of Python, capable of writing clean, maintainable, and well-tested production-level code.
β’ Proficient in at least one area such as NLP, information retrieval, computer vision, or statistical modeling.
β’ Competence in drafting technical design documents and clearly conveying ML system designs to cross-functional stakeholders.
β’ Utilizes generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable enhancements in efficiency, cost, and quality.
β’ Total compensation may also include equity and bonus eligibility, along with benefits such as medical, dental, and vision.
Lyra Health
Allstate
Tala
Unity
Get handpicked remote jobs straight to your inbox weekly.