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VLM Engineer
teKnoluxion —Reston, VA
- Full-time
- Analysis skills
- Bachelor's degree
- Software development
- Disability insurance
- Health insurance
5d

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VLM Engineer

teKnoluxion -
Reston, VA

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Job Details

Full-time
5 days ago

Benefits

Disability insurance
Health insurance
Dental insurance
Vision insurance
401(k) matching
Life insurance
Referral program

Qualifications

AI models
GPU programming
Containerization systems
Performance tuning
Software engineering
Image processing
Data transformation pipeline development
GPU architecture
Automation
PyTorch
Software deployment
Testing and evaluation
Amazon SageMaker
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Reducing cloud infrastructure costs
Machine learning cloud services
Machine intelligence
Bachelor's degree
Model deployment
Version control systems
Continuous integration
Supervised learning
Developing large-scale AI models
Software development
Scalability
Software testing
Model training
S3

Full Job Description

Overview:

Location: Springfield, VA OR Reston, VA

Clearance Required: Active TS clearance (with SCI Eligibility) and CI Poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team as a VLM Engineer.

Responsibilities:

What you get to do every day:

Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques

Qualifications:

Clearance Required: Active TS clearance (with SCI Eligibility) and CI Poly

Education/Experience:

Requires Bachelor's degree
5+ years of professional machine learning engineering experience with a focus on deep learning
1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
4+ years of advanced Python development for ML workloads
3+ years of experience with computer vision or multimodal models
3+ years of experience with AWS ML infrastructure
SageMaker Training jobs, Processing jobs, and endpoint deployment
GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)
S3 data management for large-scale training datasets
2+ years of experience building ML evaluation pipelines
Automated benchmarking, metric computation, and result analysis
Experience with both quantitative metrics and qualitative/human evaluation approaches

Required Skills:

Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
Experience processing and augmenting image datasets at scale
Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)

What is ideal?

2+ years of experience with geospatial or remote sensing imagery
Familiarity with electro-optical and SAR satellite imagery formats and characteristics
Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
Familiarity with data annotation platforms and active learning workflows for imagery
Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
2+ years of experience with Authority to Operate (ATO) processes in government environments
Implementation of NIST 800-53 controls and security compliance for ML systems
Experience deploying models in air-gapped or disconnected environments
Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
Experience with synthetic data generation for training data augmentation

What you can expect from us:

Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
You’ll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
Highlights of our benefits include Health/Dental/Vision, 401(k) match, Universal Leave, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more!
Compensation is unique to each candidate and compensation packages are based on education, experience, and other requirements.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Apply Now

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