GliaCell Technologies · 17 hours ago
AI/ML Engineer
Annapolis Junction, MD
Full-time
Onsite
Entry, Mid Level
$115K/yr - $190K/yr
2+ years expGliaCell Technologies is focused on Software & System Engineering in Enterprise and Cyber Security solution spaces. They are seeking an AI/ML Engineer to provide technical expertise in sustaining critical mission-related software and systems for a U.S. Government customer.
Cloud SecurityCyber SecurityInformation TechnologySoftwareSoftware Engineering
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Knowledge and experience of Language models is required
Specific experience with Marian and multi-lingual model development
Knowledge of Computation Linguistics is a plus
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
Strong Java, C, C++ programming experience
Willingness to support occasional on-call duties is a plus
Model Development & Training:
Build, train, and fine-tune machine learning models, particularly language models
Apply best practices in model training, tuning, and optimization
Design and implement solutions for model performance improvement
Evaluation & Testing:
Conduct rigorous model evaluation, including performance analysis and benchmarking
Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
Model Deployment & Integration:
Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models
Integrate machine learning models into production environments, ensuring seamless integration with other systems
Full-Stack Engineering:
Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end)
Collaborate with software engineers to build scalable and efficient deployment pipelines
Collaboration & Reporting:
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions
Document workflows, model design processes, and technical specifications
Qualification
Required
An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED
U.S. Citizenship
2+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required
A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required
3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor's degree
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow
Work well independently as well as on a team
Strong communication skills
Knowledge and experience of Language models is required
Specific experience with Marian and multi-lingual model development
Strong Java, C, C++ programming experience
Build, train, and fine-tune machine learning models, particularly language models
Conduct rigorous model evaluation, including performance analysis and benchmarking
Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models
Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end)
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions
Preferred
Knowledge of Computation Linguistics is a plus
Willingness to support occasional on-call duties is a plus
Hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP)
Experience in developing full-stack software applications (JavaScript, Python, Java, etc.)
Experience working in a government or defense-related environment is highly preferred
Experience with model versioning and management using tools such as MLFlow or Git
Familiarity with containerization tools (i.e. Kubernetes)
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)
Benefits
Medical, Dental, and Vision Coverage for Employee and Dependents
Up to 25 Days of Paid Time Off
Up to 40 hours of PTO Carryover
11 Federal Government Holidays
Work From Home Opportunities
401K Company Contribution, Fully Vested Day 1
Discretionary, Certification, and Sign-On Bonus Potential
Employee Referral Bonus Program
Annual Professional Development
100% Premium Covered for Life & Disability Insurances
Additional Voluntary Life Insurance Coverage Available
Employee Assistance Program
Travel Protection Program
Financial Planning Assistance
Bereavement and Jury Duty Leave
Monthly Team and Family Events
Technology Budget
Global Entry
Annual Swag Budget
Company
GliaCell Technologies
GliaCell Technologies focuses on software engineering in the cloud and cybersecurity domains.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Robert Rosekrans
Chief Technology Officer
Company data provided by crunchbase