An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.
Are you an Artificial Intelligence / Machine Learning Engineer who is ready for a new challenge that will launch your career to the next level?
- Tired of being treated like a company drone?
- Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?
- Our engineers were certainly tired of the same.
At GliaCell our slogan is “We make It happen”.
- We will immerse you in the latest technologies.
- We will develop and support your own personalized training program to continue your individual growth.
- We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers.
**Culture isn’t something you need to talk about…if it just exists.
If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.
We Make It Happen!**
GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.
GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
We Offer:
- Long term job security
- Competitive salaries & bonus opportunities
- Challenging work you are passionate about
- Ability to work with some amazingly talented people
Job Description:
GliaCell is seeking an AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.
Key Requirements:
To be considered for this position you must have the following:
- Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years).
- 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.
Description:
- Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models.
- The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development.
- This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.
Key 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.
Key Qualifications:
- Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Expertise in model training, evaluation, and deployment.
- Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
- Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
- Solid understanding of data structures, algorithms, and system design.
- Experience & Background:
- Extensive experience in machine learning model development, including natural language processing (NLP).
- Experience with model evaluation, optimization, and performance monitoring.
- Proven experience in software engineering with strong coding skills.
- Experience working in a government or defense-related environment is highly preferred.
- Additional Skills:
- Experience with model versioning and management using tools such as MLFlow or Git.
- Familiarity with containerization tools (i.e. Kubernetes).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Desired Skills:
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
Location: Annapolis Junction, Maryland
Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process.
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
Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/
To apply for this position, respond to this job posting and attach an updated resume for us to review.
GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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