AI / ML Engineer
Defense AI / Readiness Modeling
Early-Stage Defense Tech Startup
$250,000 + Equity + Full Benefits
The Company
- AI systems that ensure operational forces are prepared for real-world missions.
- The company combines advanced ML engineering with national security expertise to solve high‑stakes readiness challenges.
- Their software is already deployed with defense partners and used in active operational environments.
- High-impact, mission-focused engineering with a fast-moving, founder-led team.
Benefits
- Up to $250,000 base
- Meaningful equity
- Full health benefits + 401(k).
- Hybrid working flexibility
Why Join?
- Work on genuine hard problems: uncertainty planning, multi-agent coordination, simulation, reinforcement learning.
- Collaborate directly with the founding team and shape the long-term technical direction.
- Own end-to-end ML pipelines deployed in high-stakes, real-world environments.
- Build for real users where model performance materially affects mission outcomes.
- Join at an early stage with outsized technical influence and rapid shipping cycles.
The Role
A technical, hands-on role where you will:
- Design, train, fine-tune, and deploy ML models for operational challenges.
- Own full lifecycle workflows: data exploration, feature engineering, training, evaluation, deployment, monitoring.
- Build scalable data pipelines for structured, unstructured, imagery, geospatial, sensor, and text datasets.
- Develop robust training and inference systems optimized for performance, latency, and edge deployment.
- Integrate models into production-grade systems with testing, observability, and CI/CD.
- Prototype and benchmark new modeling approaches, including LLMs and multimodal architectures.
- Conduct rapid experimentation to improve performance, resilience, and mission impact.
The Essential Requirements
- BS in Computer Science.
- Strong software engineering fundamentals and ML principles (evaluation, optimization, bias/variance).
- Hands-on experience with PyTorch, TensorFlow, and/or Hugging Face.
- Experience handling real-world datasets: cleaning, feature engineering, experimentation, analysis.
- Eligible to obtain and maintain a U.S. security clearance and willing to travel up to 15%.
What Will Make You Stand Out
- Masters in CS/ML or related field
- Experience with edge-deployable or offline ML systems.
- Expertise in latency optimization, distributed training, or large-scale data processing
- Exposure to geospatial, multimodal, reasoning, or containerized/orchestrated systems.
If you are interested in this role, please apply with your resume through this site.
Disclaimer
No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.
Keywords for Search (SEO)
AI Engineer, ML Engineer, Machine Learning Developer, PyTorch, TensorFlow, Hugging Face, Data Pipelines, Reinforcement Models, Simulation Systems, Multimodal Architectures, Edge ML, Distributed Training, Geospatial Processing, Defense Tech, Readiness Modeling
