Enterprise - senior computer engineer
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving , open communication , and empowering our employees to make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description We have a need for a Senior Computer Vision & Machine Learning Engineer to support a government customer developing a GEOINT Scene Prediction prototype. Work includes designing and fine-tuning vision models, applying graph-neural network context reasoning, building searchable embeddings with vector storage/retrieval, and architecting training pipelines. Engineers will contribute to low-SWaP prototypes, deliver auditable memory services for satellite/GEOINT data, and support the full lifecycle from R&D through deployable prototypes and tech transfer. Clearance A current Top-Secret/SCI security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position. Experience Bachelor’s degree from an accredited college or university in CS/EE/Math or related field; Master’s may substitute for 2 years of experience. Five (5) years total experience in applied ML/computer vision or closely related field. Required Skills- Computer Vision & VLMs: Hands-on experience with YOLO (YOLOv8-OBB or rotated-box detectors) and at least one of DETR, ViTDet, or VLMs for overhead imagery; fine-tuning models on satellite/GEOINT datasets; post-processing for orientation/heading estimation and spatial relationships.
- Graph Neural Networks (GNNs): Practical understanding of message-passing and building graphs from detection outputs to improve classification, association, and false-alarm reduction.
- Embeddings & Vector Stores: Experience generating CLIP/VLM embeddings, implementing k-NN search, and configuring FAISS/Milvus for vector storage/retrieval; ability to design metadata schemas, similarity metrics, and analyst-friendly queries.
- Data Management: Proficiency with SQL (PostgreSQL/Redshift) and NoSQL (MariaDB, MongoDB); experience modeling imagery, objects, actions, and provenance data.
- Training Pipelines: Skilled in building supervised, semi-supervised, and self-supervised training loops; familiar with parameter-efficient fine-tuning (e.g., QLoRA) for compact models.
- Prototype & Low-SWaP: Ability to deliver edge-native demos on constrained devices (e.g., Raspberry Pi-class) with quantized models, motion filtering, and local vector indexing.
- Quality & Audit-ability: Experience with spatial-consistency checks, prediction versioning, audit logs, and measurable improvements in precision/recall.
- Tooling & Delivery: Proficient in Python/PyTorch; containerization; Jupyter for rapid prototyping; CI/CD workflows; and producing clear, transition-ready documentation.
- Experience with open overhead-imagery datasets (e.g., RarePlanes, MAR20, xView, DOTA v2) and applying domain adaptation to new sensors.
- Experience deploying Milvus with dynamic-field schemas and incremental indexing; familiarity with ChromaDB for lightweight development.
- Prior work developing analyst-facing retrieval UIs or integrating similarity scores into triage tools.
- Familiarity with governance and commercialization rights vetting for model transfer to classified environments.
- Strong communication skills and experience working in agile, mission-focused teams.
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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