Machine Learning Engineer jobs in United States
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Two Six Technologies · 14 hours ago

Machine Learning Engineer

Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges. They are seeking a highly skilled Machine Learning Engineer to design, build, and deploy advanced AI/ML systems, working independently or in small teams to tackle complex problems.

Cyber SecurityInformation TechnologyNetwork Security
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Qualification

Machine Learning SystemsDeep Learning ArchitecturesModel TrainingInferenceHigh Performance ComputePythonPyTorchCC++Model Optimization TechniquesSelf-directionDocumentation SkillsCollaboration Skills

Required

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

Preferred

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

Company

Two Six Technologies

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Two Six Technologies provides cybersecurity and technology solutions for national security customers.

Funding

Current Stage
Late Stage
Total Funding
$54.56M
2026-01-05Series Unknown· $10M
2024-01-30Series Unknown· $2.2M
2023-10-16Series Unknown· $8.73M

Leadership Team

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Bob Kwaja
Chief Financial Officer
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Richard Housley
Chief Scientist, Reverse Engineering
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Company data provided by crunchbase