Build and operate end-to-end machine learning platforms for maritime defense manufacturing. Responsibilities include training and deployment, model serving across cloud, edge, and factory environments, AI workflow development with human review, PLM/MES/ERP integration, governance, drift monitoring, and on-call support.
Type: Direct hire, full-time · Base: $220,000–$292,000 + equity · Clearance: U.S. Person required (export control); Secret clearance preferred
VDS is recruiting a senior ML engineer to bring AI onto the factory floor of a maritime defense production division. You will build the platform that turns inspection, root-cause and document problems into working AI tools.
What you'll do
- Design and run the end-to-end ML platform, from training to deployment.
- Build model serving for cloud, edge devices and the shop floor.
- Turn factory problems into AI workflows with human review built in.
- Integrate with PLM, MES and ERP systems.
- Set model governance and drift monitoring, and share on-call duty.
What you bring
- 8+ years building production software.
- A degree in computer science, engineering or a related field, or equivalent experience.
- MLOps, Python, PyTorch or TensorFlow, Docker and Kubernetes, time-series data, monitoring.
Nice to have
- Manufacturing or OT systems, computer vision or OCR.
- Airflow or Flyte, CUDA or TensorRT, retrieval-augmented generation.
Similar Jobs
Logistics • Transportation • 3PL: Third Party Logistics
Defines the multi-year technical vision and architecture for foundation models supporting search, recommendations, personalization, and conversational AI. Leads high-impact ML platform initiatives across Mobility and Delivery, drives retrieval, ranking, and LLM system design, and makes build-versus-partner investment decisions. Provides principal-level technical leadership, mentors senior engineers, aligns executives across organizations, and connects model improvements to measurable business outcomes at global scale.
Top Skills:
Computer VisionConversational AiDistributed TrainingEmbedding ArchitecturesFoundation ModelsGenerative AiGeospatial AiLarge-Scale Deep LearningPersonalizationPyTorchRanking SystemsRetrieval SystemsTransformers
Artificial Intelligence • Software
Lead training, adaptation, evaluation, and productionization of Lila's AI models for scientific customer workflows. Build evaluation loops, design experiments, debug model failures, integrate model improvements into product workflows, and create reusable tooling for model adaptation, evaluation, and deployment while collaborating across research and software teams.
Top Skills:
Agentic AiDeepspeedGrpoJaxLlmsMegatron-LmMoeMulti-Modal ModelsPythonPyTorchRayRetrieval-Augmented GenerationRlhfTensorFlowTorchtitan
eCommerce • Fashion • Retail • Sales • Wearables • Design
Serve as a Coach brand ambassador by delivering personalized luxury retail experiences, building client relationships, meeting sales KPIs, and driving revenue through styling, cross-selling, upselling, and omni-channel selling. Operate POS and clienteling tools, process transactions, support inventory and visual merchandising, maintain sales-floor standards, and collaborate with teammates. Requires flexible availability, physical stockroom duties, and participation in training and brand initiatives.
Top Skills:
Clienteling ToolsIpadLaptopMobile PosPosShort-Form VideoSocial Selling PlatformsWalkie-Talkie
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
