Staff AI Research Engineer

Lovelace AI•Pittsburgh, PA

3d•Onsite

About The Position

The Staff AI Research Engineer will lead the design, development, and deployment of advanced AI models and systems that power Lovelace’s context engine and agentic platforms. The role includes researching and productionizing machine-learning models, pipelines, and services, while working closely with product management and infrastructure engineers. The engineer will develop key components of the Elemental platform, including multimodal data ingestion, entity resolution, knowledge graph construction, and agentic search. The role also involves mentoring team members, collaborating across product and infrastructure groups, and contributing to external research, technical documentation, and internal best practices. This is a full-time, on-site role in Pittsburgh, Pennsylvania.

Requirements

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 with ML frameworks such as PyTorch or TensorFlow, training pipelines, and deploying and scaling models on Kubernetes-based infrastructure, including GPU scheduling, model serving, and MLOps tooling.
Ability to design rigorous experiments, interpret results, and clearly communicate technical findings to technical and non-technical stakeholders.

Nice To Haves

Advanced expertise in one or more of multimodal machine learning, NLP, entity resolution, knowledge graphs, or agentic search.
PhD with published research at major machine-learning or NLP conferences, such as NeurIPS, ICML, ICLR, AAAI, or EMNLP.
Experience in a technical leadership role involving mentoring, communicating technical findings to external stakeholders, and cross-functional project management.
Experience bringing a product to market and working backwards from customer needs to find the right solution while balancing technical rigor with practical delivery.

Responsibilities

Lead the design, development, and deployment of advanced AI models and systems for Lovelace’s context engine and agentic platforms.
Research and productionize machine-learning models, pipelines, and services.
Develop Elemental platform components for multimodal data ingestion, entity resolution, knowledge graph construction, and agentic search.
Work closely with product management and infrastructure engineers.
Mentor team members.
Collaborate with product and infrastructure groups.
Contribute to externally facing research, technical documentation, and internal best practices.