Machine Learning Engineer

Two Six Technologies•Ellicott City, MD

16h•Onsite

About The Position

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future. Overview of Opportunity We are seeking a highly skilled cleared Machine Learning Engineer to design, build, and deploy advanced AI/ML systems from proof-of-concept through production. This role sits at the intersection of modern deep learning architectures, high-performance compute, and real-world deployment constraints. You will work independently or in small, highly capable teams to solve complex, loosely defined problems using cutting-edge models and infrastructure.The ideal candidate is comfortable operating with loosely defined requirements, balancing research innovation with small teams. This is a hands-on engineering role for someone who thrives in ambiguity, enjoys deep technical challenges, and can communicate clearly across technical and non-technical audiences. The work will be onsite in our Ellicott City, Maryland office.

Requirements

Bachelor’s degree in relevant Computer Science/ Engineering Fields and or Mathematics or 5+ years in job experience
2 years of experience writing both proof-of-concept and production level code and accompanying documentation
Minimum of 5 years experience with both Transformer and Convolution Neural Network architectures including: LLMs VLMs CNNs Mixture of Experts Models Reasoning Models
5 years of experience with model training and inference including: Model Quantization Model Compilation Knowledge Distillation Distributed Model Execution
3 years of experience with PyTorch, scikit-learn, docker, git, pandas and other machine learning and machine learning adjacent technologies
High Performance Compute or atypical compute experience (i.e. Google’s TPU, CUDA Programming)
Experience and understanding of computer architecture, operating systems, programming languages and software vulnerabilities.
5 years experience developing software using Python, C and C++
Ability to self-direct and work independently to include learning new technologies, languages and platforms, etc
Active TS/SCI clearance

Nice To Haves

Experience with common reverse engineering tools, such as, IDA/Ghidra, debuggers, etc a plus
Experience with RFML and SDRs a plus
Experience working with embedded devices

Responsibilities

Design, implement, and document proof-of-concept and production-grade machine learning systems
Develop and optimize deep learning models across a variety of architectures, including transformer-based and convolutional approaches
Train, fine-tune, and deploy models with a focus on performance, scalability, and efficiency
Optimize model inference using techniques such as quantization, compilation, knowledge distillation, and distributed execution
Work with high-performance and non-traditional compute platforms (e.g., GPUs, TPUs, CUDA-based systems)
Collaborate closely with small teams or operate as a sole contributor on technically demanding projects
Translate loosely defined requirements into effective technical solutions
Clearly document designs, tradeoffs, and results for both technical and stakeholder audiences