Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value
creative problem-solvingopen communication and
empowering our employeesto 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
technicallystrongand
growth-orientedcompany focused on bringing
innovative solutions to the difficult mission problems facing our customers.
DescriptionWe 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.
ClearanceA current Top-Secret/SCI security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
ExperienceBachelors degree from an accredited college or universityin CS/EE/Math or related field; Masters may substitute for 2 years of (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.
Desired skills:
- 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.
BenefitsErias Ventures provides a complete package of wealth health and happiness expected salary range for this position depending on education and years of experience is $170000 - $205000.
Wealth Benefits:- Above Market Hourly Pay
- 11% RothorTraditional 401kwith Immediate Vesting and Deposit
- Spot Bonusesfor Assisting with Business Development and Company Growth
- Professional Development Bonusesfor Certificates and Degrees
Health Benefits:- Company subsidizedMedicalCoverage
- 100%Company PaidVisionandDentalCoverage
- 100%Company PaidLong Term DisabilityShort Term Disability andGroup Life Insurance
- Monthly Wellness Reimbursement
Happiness Benefits:- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and MonthlyInternetReimbursement
- TechnologyandProductivity Allowancefor Equipment and Supplies
- Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional DevelopmentandTraining
At Erias Ventures we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer we ensure that all qualified applicants are considered for employment based on merit without discrimination. We welcome individuals regardless of race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
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