Job Title

Applied ML/NLP Engineer Preferred Location: Ottawa Reports to: CTO Type: Full-Time About Dominion Dynamics Dominion Dynamics is building Canadas first modern defence prime: software-defined, attritable, and sovereign. We believe tomorrows military power wont hinge on exquisite platforms, but on the seamless coordination of adaptable, AI-driven capabilities across every domain. Were building that family of systems, fielded with operators, sovereign by design, and accountable to Canadas democratic values. We move fast, deploy with the CAF, especially in the Arctic, and operate with uncompromising respect for Canadian law, treaty obligations, and the CAF community. Our founding team includes former operators from Anduril, Google, Amazon, and the Canadian Armed Forces. Were building hard tech in hard places, and we''re looking for system-level thinkers who thrive at the intersection of autonomy, aerospace, and national security. Why This Role Matters Language and inference capabilities unlock faster decision cycles by extracting, summarizing, and surfacing actionable intelligence from high-volume feeds and operator inputs. This role moves NLP research into resilient, field-ready pipelines that work in constrained, latency-sensitive environments and improve operator effectiveness. The Role: Applied ML/NLP Enginee You will develop and deploy NLP and ML systems that extract, summarize, and contextualize domain data for operators and analysts. This role emphasizes robust model pipelines, performance-conscious inference, and production-grade evaluation to ensure usable outputs in operational settings. Note: This role includes a forward-deployed mandate . Youll work handson with deployed systems and operators in realworld environments What Youll Do Build and maintain NLP model pipelines for extraction, summarization, classification, and retrieval. Finetune and evaluate models using PyTorch/TensorFlow and standard NLP toolkits; implement continuous evaluation. Optimize models for inference on edge or constrained compute, including quantization and latency tuning. Implement data ingestion, labeling, and validation workflows to support model training and monitoring. Integrate NLP outputs with UIs, including Android clients, and backend services for operatorfacing workflows. Instrument model performance monitoring and drift detection; iterate on datasets and architectures. Collaborate with systems and software teams to ensure secure, auditable model deployment and operation. Support field validation and refine models based on operational feedback. What Youll Bring Bachelors or Masters in Computer Science, Machine Learning, Data Science, or equivalent practical experience. Midlevel: ~24 years building and deploying NLP/ML models; experience in production or fielded systems preferred. Strong Python skills and practical experience with PyTorch or TensorFlow. Proficiency with ONNX and model optimization for limitedcompute inference, including evaluation and performance monitoring workflows. Practical experience with data pipelines, annotation workflows, and model validation. Missionoriented, pragmatic problem solver who can support infield testing and rapid iteration. Eligibility for Canadian security clearance preferred; Canadian citizenship an asset. Why Join Us At Dominion Dynamics, were designing systems that work where others fail, in the most extreme environments on Earth. At Dominion Dynamics youll: Shape the future of Canadas sovereign defence. Build real capability in fields with CAF and allies. Move fast, field fast with small teams, high trust, and rapid iteration. Operate with integrity under Canadian law and treaty obligations. Have impact from day one with equity, responsibility, and direct access to leadership. If youre driven by innovation, adaptability, and the opportunity to make a strategic impact, this is where you belong! Compensation We offer competitive salary and meaningful equity participation. #J-18808-Ljbffr