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# Machine Learning Engineer

- **Company:** Openreq
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Computer Vision, Information Engineering, Machine Learning, Software Engineering, Transport Layer Security, Deep Learning, Machine Learning Operations, Feature Extraction
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-san-francisco-ca--688f932b-a1c3-4074-bfad-9216576a86ac

## About the Role

Machine Learning, Data Collection, Training/Teaching, Artificial Intelligence (AI), Computer Vision, Problem Solving Skills, Manufacturing Automation, Production Costing, Fortune 500 Customers, Performance Modeling, We are seeking a candidate who embodies the following qualifications and characteristics:

 * 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision
 * Prior experience working at a startup
 * Experiences in end to end ML application development, including data engineering, model tuning, and model serving
 * Technical expertise demonstrated through published papers or industry experience:
*

 + Representation learning - SSL, VAE, Dino, SAM
 + Building and scaling ML Infrastructure - AWS, GCP, containerization
 * Proven track record of rapidly delivering complex project within tight deadlines
 * Ability to make critical decisions with little information
 * Excel at identifying bottlenecks and gaps within research papers and swiftly translating them into code.

## Description

As a Machine Learning Engineer at Advex, you will play a pivotal role in shaping the company's technical direction. As an MLE you are well versed with the ML life-cycle process, collect data, label data, train model and iterate multiple times before achieving desired performance. Your hands-on involvement will include working with our CTO to automate the entire ML life-cycle by scaling the Advex pipeline that automatically (1) identifies gaps in data distributions, (2) generates labeled synthetic samples, (3) and trains downstream models on enhanced synthetic datasets. You are also expected to engage directly with our customers. As we expand, you will contribute heavily to the architectural roadmap, laying the foundation for the Advex platform. Your technical leadership will be instrumental in supporting and growing our engineering and product teams.

Sneak peek of things we're working on and what you'll have the opportunity to spearhead:

Research:

 1. Understanding gaps in data distributions
 2. Controllability of Diffusion Models
 3. Evaluation of generative models

Engineering:

 1. Full-stack development
 2. Large scale model training
 3. Building infrastructure to run complex ML pipelines
 4. Pruning and model quantization

We are seeking an individual who is strategic, capable of transforming research constraints and product specifications into an enterprise-ready application. We value self-starters who aren't afraid to dive into the details and iterate on prototypes in the early stages of development.