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# Senior Machine Learning Engineer in United

- **Company:** Energy Jobline
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Software Engineering, SQL Databases, Feature Engineering, Data Ingestion, Backend, Kubernetes, Information Technology, PydanticAI Framework, LiteLLM, Machine Learning Operations, Docker, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/senior-machine-learning-engineer-united-31815930

## About the Role

* MS or PhD in Computer Science, Engineering, Mathematics, or equivalent practical experience.
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 * 5+ years in machine learning and backend software engineering.
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 * Strong proficiency in Python, plus at least one other backend (Go or Java ).
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 * Deep understanding of user modeling, embeddings, similarity search, and ranking models.
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 * Strong experience with serving architectures (REST/gRPC APIs, model servers) and low-latency inference.
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 * Hands-on experience with modern AI development tooling - MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar.
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 * Experience with ML pipeline and experiment-tracking tools (MLflow, Kubeflow, Airflow, Weights & Biases, or similar).
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 * Solid grasp of distributed systems, microservices, and system design.
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 * Cloud experience (AWS, GCP, or Azure) and containerized development (Docker, Kubernetes).
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 * Experience with SQL and NoSQL databases and large-scale datasets.
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 * Familiarity with the full data science workflow - data ingestion, feature engineering, experimentation, deployment, and monitoring., * Strong written and verbal communication; able to explain ML results and applications to scientists, engineers, and business partners.

## Description

Our client is transforming grocery shopping by giving people time back - shoppers handpick fresh groceries and household essentials and deliver them in as little as one hour. We're hiring a Senior Machine Learning Engineer for our Personalization Platform team within the Membership organization. You'll partner closely with Data Scientists to design, deploy, and scale personalized recommendation and ranking models that drive engagement across the Shipt marketplace. This is a hands-on senior technical role spanning architecture, ML infrastructure, and production systems - from training and serving pipelines to CI/CD and monitoring. If you have an AI-first mindset and enjoy building platforms that make other engineers and scientists more effective, this is your team.


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