Staff AI Research Engineer
Lovelace AI· Engineering
Lovelace HQFull-timePosted 5d ago
About the role
Lead the design, development, and deployment of advanced AI models and systems powering Lovelace’s context engine and agentic platforms. Responsibilities include researching and productionalizing ML models, pipelines, and services, mentoring team members, collaborating cross-functionally, and contributing to research, documentation, and best practices. On-site role based in Pittsburgh, PA.
Responsibilities
- Lead design, development, and deployment of advanced AI models and systems powering the context engine and agentic platforms.
- Research and productionalize ML models, pipelines, and services.
- Mentor team members and collaborate cross-functionally with product and infrastructure groups.
- Contribute to externally facing research, technical documentation, and internal best practices.
Qualifications
- Strong foundation in Machine Learning and AI Engineering, with experience building and scaling production-grade AI systems.
- Graduate degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Proficiency in ML frameworks such as PyTorch or TensorFlow, training pipelines, and deploying and scaling models on Kubernetes-based infrastructure (e.g., GPU scheduling, model serving, and MLOps tooling).
- Ability to design rigorous experiments, interpret results, and communicate technical findings clearly to both technical and non-technical stakeholders.
Skills
Required:Machine Learning EngineeringML FrameworksMLOps / Kubernetes
Benefits
- Competitive compensation packages
- Comprehensive benefits
- Supportive and inclusive work environment
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Lovelace AI
Building world-class AI solutions for national security and beyond
Building world-class AI solutions for national security and beyond We create cutting-edge data fusion & advanced analytics so decision-makers can act faster and more accurately, even in the most complex environments.
AIData FusionAnalyticsNational SecurityMachine Learning