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# Member of Technical Staff (Machine Learning Engineer)

- **Company:** MISSION & MISSION, LLC
- **Location:** Vienna, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, C++ (Programming Language), Nvidia CUDA, Relational Databases, Distributed Computing Environment, Memory Management, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Open Source Technology, Tensorflow, Video Editing, Multithreading, Cloud Platform System, Real Time Systems, Pytorch, Apache Spark, Information Technology, Low Latency, Machine Learning Operations
- **Published:** August 16, 2026
- **Apply:** https://www.workingnomads.com/job/go/1794202/

## About the Role

* MS/PhD in Computer Science, Electrical Engineering, or related field
 * Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)
 * 5+ years of experience in Python and proficiency in Java, C++, or Scala
 * Strong understanding of diffusion models
 * Strong understanding of multi-threading and memory management
 * Solid knowledge of ML architectures: CNNs and Transformers
 * Experience with PyTorch or TensorFlow
 * Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications
 * Experience deploying ML models in cloud environments (AWS preferred)
 * Experience with experiment tracking systems and ML workflows Nice to Have
 * Experience in low level optimisation, cuda etc.
 * Experience productionizing and scaling ML models in real-world systems
 * Contributions to open-source projects
 * Experience with MLOps tools or distributed training systems
 * Familiarity with relational databases (Postgres/MySQL)
 * Experience handling large-scale data using tools like Spark

## Description

* Translate cutting-edge research into production-ready machine learning systems
 * Design, build, and deploy end-to-end ML models and pipelines
 * Develop and optimize models for image and video processing
 * Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
 * Rapidly prototype using open-source models and adapt them for product needs
 * Conduct experiments, analyze results, and iterate to improve performance
 * Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale
 * Participate with advancements in machine learning and apply them to continuously improve products What We're Looking For Required Qualifications


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