Machine Learning Engineer - ML Ops
Description For Machine Learning Engineer - ML Ops
Regrello, a cutting-edge startup with 60 team members, is revolutionizing supply chain automation through AI innovation. We're seeking a Machine Learning Engineer to join our AI-research team in a role that bridges ML Research and Software Engineering. The position offers a competitive salary range of $165,000 - $220,000 plus equity, focusing on productionizing novel deep learning models for complex tabular datasets.
The role requires 3+ years of experience in MLOps and deep learning deployment, with expertise in distributed GPU environments and data engineering technologies. You'll be working with a team of veterans from Oracle, Palantir, Apple, Amazon, and Microsoft, building solutions that process $13T of annual shipments in the supply chain industry.
Our company is backed by prestigious investors including Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram, providing both startup agility and longer-term stability with a 2-3 year runway. We're building a global operating network that includes a workflow engine, forms engine, and AI engine to optimize supply chain processes.
The ideal candidate will have a strong technical background with a Bachelor's degree in Computer Science or Software Engineering, excellent communication skills, and a passion for solving complex problems. While supply chain experience isn't required, you'll have the opportunity to learn and make a significant impact in this $220-billion market opportunity.
We offer a flexible, hybrid/remote work environment with locations in Seattle, San Francisco, New York, and Austin. Our comprehensive benefits package includes health insurance (medical, dental, vision), generous PTO, and equity compensation. Join us in creating cutting-edge solutions that are transforming how organizations optimize manufacturing and supply chain processes globally.
Responsibilities For Machine Learning Engineer - ML Ops
- Manage the deployment of AI models to solve real-world complex problems in global supply chain and manufacturing
- Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts
- Take on new challenges and responsibilities as needed
- Help shape the company by participating in hiring decisions and contributing to our culture
Requirements For Machine Learning Engineer - ML Ops
- Bachelors in Computer Science or Software Engineering with a 3.5+ GPA
- 3+ years of industry experience architecting MLOps pipelines for Deep Learning models
- Strong understanding of training models in distributed multi-node GPU environments
- Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery
- Familiarity with Python and PyTorch, Tensorflow, or JAX
- Excellent written and verbal communication skills
- Strong desire to learn, grow, and drive impact on real global problems
Benefits For Machine Learning Engineer - ML Ops
- Competitive salary
- Equity compensation
- Health insurance (medical, dental, vision)
- Generous paid time off
- 2-3 year runway
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