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# Machine Learning Engineer

- **Company:** Adapter Group, Inc.
- **Location:** Poland, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Big Data, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Machine Learning Operations, Software Library
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_b5fd2f0641d86b174d0f73a438971654

## About the Role

* Experience with optimizing models for size, cost, and latency is a plus.
 * Proficient in designing, developing, and operating fine-tuning pipelines in production environments.
 * Experience with large-scale data processing and distributed systems.
 * Strong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, TensorFlow, etc., * 3+ years of experience in a similar role, focusing on developing and deploying ML models in production environments.
 * Startup experience is a plus.
 * Early stage equity.
 * Generous PTO.
 * Remote and in-person cultures that promote collaboration.

## Description

* Use the latest cutting edge technologies such as LLMs, multimodal models to handle complex problems.
 * Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.
 * Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).
 * Deploy models at scale: collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
 * Monitoring and maintenance: implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.
 * Collaboration: work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.
 * Research and innovation: stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.