Lead ML Engineer — Scale Production-Ready AI

Movable Ink; United States; Remote; USD 100,000 - 129,000; Full time

Job summary

Movable Ink is seeking a technical leader to bridge research and productization, building scalable ML platforms that drive client value. You will ship production AI models and integrate cutting-edge techniques into our core model suite in a fast-paced environment.

The role requires 5+ years in AI/ML, a strong background in deep learning, transformer architectures, and experience with PyTorch or TensorFlow, Python, Spark, and cloud platforms.

Qualifications

• Master’s degree or higher in CS/Math/Engineering or related field.
• 5+ years of AI/ML development and production-ready models.
• Proven track record productizing AI research into commercial models.
• Experience with neural networks, transformers, CV, NLP, and multimodal learning.
• Proficiency in PyTorch or TensorFlow and Python ML toolkits.
• Experience with Spark and cloud platforms (GCP preferred).

Responsibilities

• Deploy robust, commercial-grade AI products that redefine client expectations.
• Seamlessly integrate breakthroughs into our core AI models suite.
• Engineer high-performance, scalable ML systems under pressure.
• Elevate our ML Platform with monitoring, orchestration, and automated testing.
• Drive product adoption and client satisfaction by delivering AI-driven insights.
• Ship high-impact AI models that translate into business growth.

Skills

AI/ML development

Deep learning systems

Transformer architectures

PyTorch or TensorFlow

Python

Spark

Google Cloud Platform

Production ML systems

A/B testing

Statistical modeling

Education

Master’s degree or higher in Computer Science, Mathematics, Engineering, or related technical field

Tools

TensorFlow

scikit-learn

XGBoost

Job description

Movable Ink is seeking a technical leader to bridge research and productization, building scalable ML platforms that drive client value. You will ship production AI models and integrate cutting-edge techniques into our core model suite in a fast-paced environment.

The role requires 5+ years in AI/ML, a strong background in deep learning, transformer architectures, and experience with PyTorch or TensorFlow, Python, Spark, and cloud platforms.