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# Machine Learning Engineer

- **Company:** Alexander Chapman
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Python (Programming Language), Machine Learning, Reinforcement Learning, Data Processing, High Performance Computing, Graph Neural Networks, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Information Technology, Optimization Algorithms, Machine Learning Operations, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_69f7acd8ab48a7bc64e58c102e38ebbb

## About the Role

* 5+ years of professional experience in applied machine learning
 * Strong expertise in PyTorch for deep learning research and development
 * Advanced proficiency with Python for ML model implementation and data processing
 * Experience with large language models, multimodal models, and retrieval-augmented generation
 * Proven track record of deploying ML models to production environments
 * Experience with ML infrastructure and MLOps practices
 * Strong background in mathematics, particularly linear algebra, calculus, and statistics
 * Demonstrated ability to conduct independent research and solve novel problems
 * Strong communication skills and ability to explain complex ML concepts clearly, * PhD or MS in Computer Science, Machine Learning, or related technical field
 * Familiarity with reinforcement learning and optimization techniques
 * Experience with geometric deep learning or graph neural networks
 * Familiarity with CAE software or engineering simulation tools
 * Background in physics-informed neural networks or scientific ML
 * Experience with high-performance computing for ML
 * Publication record at top ML conferences (NeurIPS, ICML, ICLR, etc.)

## Description

* Build data pipelines for training, evaluation, and deployment of ML systems
 * Collaborate with full-stack engineers to integrate ML capabilities into our platform
 * Help establish ML best practices, experiment tracking, and model governance
 * Participate in product strategy discussions and help define our technical ML roadmap
 * Contribute to research publications and IP development