J

Staff Machine Learning Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Join a highly autonomous engineering environment focused on solving complex real-world problems through AI and data-driven innovation. Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data. Collaborate with cross-functional teams to transform customer challenges into reliable, scalable solutions.

Key Highlights
Lead the design, development, and operation of production-scale machine learning systems
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements
Partner with product managers, engineers, and business stakeholders to understand customer needs and deliver impactful AI solutions
Key Responsibilities
Lead technical initiatives from early experimentation through production implementation and ongoing improvement
Create reliable model deployment strategies while ensuring performance, scalability, and operational stability
Improve ML system accuracy, efficiency, and latency through advanced techniques such as deep learning, transfer learning, and model optimization
Technical Skills Required
Python Machine Learning Deep Learning
Benefits & Perks
Annual salary range of $206,261 - $330,017
Fully remote work opportunity within eligible U.S. locations
Comprehensive medical, dental, and vision insurance coverage
Nice to Have
PyTorch
HuggingFace
AWS SageMaker

Job Description

This role offers the opportunity to build and scale advanced machine learning solutions that directly impact a rapidly evolving technology platform.You will join a highly autonomous engineering environment focused on solving complex real-world problems through AI and data-driven innovation.The position combines deep technical expertise with ownership of ML systems from experimentation through production deployment.You will collaborate with cross-functional teams to transform customer challenges into reliable, scalable solutions.Working with large-scale document processing systems and modern ML technologies, you will help shape the future of intelligent automation.
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