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Sr. Machine Learning Engineer
Summary by AIEngineer.careers
Sr. Machine Learning Engineer is a Machine Learning Engineer role (full-time). with DigitalOcean. in REMOTE, WORLDWIDE. Compensation shown: $32K–$72K (est.). Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
REMOTE · WORLDWIDE
$32K–$72K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from flexgen.zya.me
Revionics, an Aptos company, is seeking a Senior Machine Learning Engineer to join its Science team in the Austin area. The role focuses on designing, building, and deploying end-to-end AI/ML systems, with an initial emphasis on agentic capabilities and the agent-to-agent (A2A) roadmap. You will work alongside data scientists and engineers to bring pricing, forecasting, and optimization solutions from research to production.
Responsibilities
- Build out new features on the Science roadmap, including agentic AI, A2A communication protocols, predictive and decision-making AI, and modernization of legacy features.
- Work on full stack technology, from prototyping to production-ready software.
- Collaborate with product managers, engineers, and data scientists to turn ideas into new products, services, and features.
Requirements
- Bachelor's or Master's degree in a STEM field such as computer science.
- Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain.
- Proficiency with agentic development concepts including Skills, Tools, Callbacks, code execution, token caching, compaction, and multi-agent orchestration.
- Experience exposing agentic systems using MCP or A2A frameworks.
- Experience working in cloud-native environments like GCP (BigQuery, Cloud Run, GKE) or AWS.
DigitalOcean
Broomfield · US · 2473+ employees
DigitalOcean is an AI-native cloud platform purpose-built for the inference and agentic era, providing a unified stack for developers and businesses. It offers a five-layer integrated platform spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration.
