I

Machine Learning Engineer, ML Infrastructure & MLOps

institute of foundation models • United State
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AI Summary

Design and operate scalable ML infrastructure and MLOps systems for a cutting-edge AI research lab. Focus on building reliable cloud infrastructure, supporting data pipelines, experimentation, and evaluation workflows. Requires 3+ years of MLOps/ML infrastructure experience, strong AWS, and distributed systems knowledge.

Key Highlights
Build and operate scalable ML infrastructure on AWS.
Develop and maintain MLOps workflows for data versioning and model evaluation.
Partner closely with researchers to translate experimental workflows into robust systems.

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Key Responsibilities
Design, build, and operate scalable ML infrastructure on AWS (e.g., compute, storage, networking, access control).
Develop and maintain MLOps workflows for data versioning.
Build and manage distributed systems for large-scale data processing (filtering, captioning, etc.) and model evaluation.
Own architecture decisions for ML infrastructure and drive best practices in reliability, scalability, and cost efficiency.
Implement observability across systems, including monitoring, logging, and alerting.
Integrate OpenWebUI, Gradio, or similar UIs for data quality assurance.
Build and maintain dashboards for experiment tracking and system health.
Partner closely with researchers to translate experimental workflows into robust, scalable systems.
Technical Skills Required
Amazon Web Services MLOps Distributed Systems

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Benefits & Perks
Comprehensive medical, dental, and vision benefits
Bonus
401K Plan
Generous paid time off, sick leave and holidays
Paid Parental Leave
Employee Assistance Program
Life insurance and disability
Visa Sponsorship

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Nice to Have
Experience in fast-paced or research-driven environments.
Experience with large-scale video or multimodal data pipelines.
Experience building automated model evaluation or benchmarking systems.
Knowledge of cost optimization, security, and networking in multi-tenant environments.
Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code)

Job Description

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
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Job Overview
Posted Date Sep 28, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Machine Learning
Company institute of foundation models
Mentioned Skills
python ai storage pan git kubernetes aws docker kafka deep learning cloud spark mlops machine learning

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