Vannevar Labs

Machine Learning Engineer

• Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
• Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
• Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
• Be a hands-on technical contributor to unblock or bootstrap key initiatives
• Travel up to 20% of the time to meet with internal and external stakeholders

Senior Machine Learning Engineer

Full-stack Engineer

• Develop software running on edge devices for controlling and analyzing data from software defined radios
• Build robust systems resistant to adversarial exploitation
• Create infrastructure that enables scalable software updates to a fleet of edge devices
• Travel up to 20% of the time to meet with mission owners, better understand requirements, and deliver capabilities

Senior Embedded Software Engineer

Brand Designer

• Oversee the design and continuous improvement of the marketing website and digital platforms
• Support the design and development of the new website and large scale editorial design projects
• Create internal and external assets, including print materials, illustrations, and digital content
• Define visual styles across mediums, including art directing photography, developing illustration styles, and defining diagrams and data visualizations
• Collaborate closely with marketing, product, and executive teams to ensure brand consistency and integration
• Stay ahead of industry trends and bring fresh ideas to keep the brand at the forefront of design innovation
• Design branded merchandise (company swag)

Senior Brand Designer

• Search is at the heart of Vannevar’s flagship product, Decrypt, and its business-critical use cases are expanding as we grow into new products. Our team owns the shared search platform—indexing, retrieval, and relevance primitives—that other teams build upon. We define the standards, APIs, and infrastructure that make high-performance, reliable search possible across a growing suite of products, and we operate this capability in demanding mission environments.
• You will be a technical leader driving innovation in search and information retrieval. You’ll work directly with our ML team to advance a state-of-the-art platform that integrates full-text search, vector retrieval, LLM-powered techniques, and relevance algorithms. You’ll translate requirements from dependent product teams into robust primitives and services, set and meet strict SLOs for relevance and latency, and shape the long-term strategy for how search enables Vannevar’s products to surface mission-critical information at scale.
• Help craft a technical strategy for search at Vannevar, including how we leverage full-text search, vector databases, LLMs, NLP, and relevance algorithms
• Improve both search latency and relevance
• Partner with other engineers, product managers, and designers to identify and quickly deliver customer value
• Stay up to date with emerging technologies, trends, and best practices; particularly within the search/information retrieval domain

Senior Software Engineer, Search

Communications

• Principal engineer developing a systematic framework for detection, equalization, and triage of diverse waveform sets
• Develop new methods to detect and characterize known and anomalous waveforms
• Develop a data triage tool to identify physical phenomena or signal properties causing AI model classification failures
• Develop optimized software for resource-constrained edge processing pipelines
• Collaborate with cross-disciplinary engineering teams to integrate algorithms and models into production
• Serve as hands-on technical contributor for test and evaluation of developed capabilities
• Responsible for unit tests and simulation capabilities for potential propagation scenarios
• Travel up to 20% to meet internal stakeholders and support experimentation and capability evaluation events
• Ensure signal processing methods address mission-critical sensing requirements for U.S. Government end users

Digital Signal Processing and Communications Engineer

• Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
• Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
• Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
• Be a hands-on technical contributor to unblock or bootstrap key initiatives
• Coordinate engagements with Forward Deployed Engineers and ML Research Scientists, prioritize data collection efforts, and work with external partners to accelerate model deployments
• Ensure models are delivered to address mission critical sensing requirements for end users in the United States Government
• Travel up to 20% of the time to meet with internal and external stakeholders

Senior MLOps Engineer

Executive Assistant

• Manage calendars, arrange travel and schedule internal and external meetings for up to 3 C-suite & VP-level executives
• Build relationships and liaise with administrative personnel within the executive offices of our US Government clients
• Own discrete administrative responsibilities that help grow our company, aligned to your principals’ priorities (e.g., organizing prep for major external meetings, operationalizing strategic offsites, supporting local office ops)
• Identifying opportunities for improving candidate experience and scheduling efficiency
• Assisting in the coordination of other offsites activities as needed
• Operate with a sense of urgency