Machine Learning Engineer

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.

Key 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

What you will need:

• 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.
• 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
• 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

Clearance:

• Active TS/SCI clearance

#LI-MS1

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Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.

The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.

Salary Range

$142,300 - $195,600 USD

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Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey ! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies . We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com . Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.