Machine Learning Engineer

Amit érdemes tudni

• Hibrid · Ismeretlen
• Távmunka-megjelölés további földrajzi adat nélkül — nem automatikus igen.
• Fizetés: nem közölt

Helyszín és jogosultság

Távmunka-megjelölés további földrajzi adat nélkül — nem automatikus igen.

Remote - India

Megbízhatóság: 42%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.

Pozíció

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, 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.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><p class="wnfdntt _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea" data-pm-slice="1 3 []">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.</p> <p class="wnfdntt _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p> <h4 class="wnfdnth _1ibi0s33y _1ibi0s34u">What you'll do:</h4> <ul class="wnfdnte"> <li class="wnfdntd _1ibi0s33w"> <p class="wnfdntt _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p> </li> <li class="wnfdntd _1ibi0s33w"> <p class="wnfdntt _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Develo

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