AI Research Engineer

Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis. Lovelace's context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments. The 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. This is a full-time, on-site role based in Pittsburgh, PA.

Responsibilities

Lead the design, development, and deployment of advanced AI models and systems that power Lovelace's context engine and agentic platforms; Research and productionalize ML models, pipelines, and services; Work closely with product management and infrastructure engineers; Develop key components of the Elemental platform including multimodal data ingestion, entity resolution and knowledge graph construction, and agentic search; Mentor team members; Collaborate cross-functionally with product and infrastructure groups; Contribute to externally facing research, technical documentation, and internal best practices

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 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

Nice to have

Advanced expertise in one or more of the following: Multimodal ML, NLP, Entity Resolution, Knowledge Graphs, Agentic Search; PhD with published research works in major ML or NLP conferences (NeurIPS, ICML, ICLR, AAAI, EMNLP, etc.); Experience in a technical leadership role that required mentoring, communicating technical findings to external stakeholders, and cross-functional project management; Experience getting a product to market and working backwards from the customer to get to the right solution, balancing technical rigor with practical delivery

Benefits

Competitive compensation packages; Comprehensive benefits; Supportive and inclusive work environment