Research Engineer/ Applied Scientist

Role overview

Responsibilities

• check_circle Design and run rigorous experiments, including ablations, benchmarking, and error analysis, to improve NL-to-SQL generation, retrieval, ranking, and agentic reasoning.
• check_circle Advance multi-turn conversational understanding through improved context retention, entity resolution, conversational memory, and intelligent clarification strategies.
• check_circle Build robust evaluation frameworks, including automated benchmarks, regression suites, and LLM-as-a-judge methodologies to measure and improve model quality.
• check_circle Prototype, validate, and productionize ML techniques, including fine-tuning, distillation, retrieval optimization, and agent architectures.
• check_circle Evaluate emerging foundation models and AI research, rapidly translating promising advances into production experiments.
• check_circle Contribute to the broader AI community through technical reports, or conference talks.

Basic qualifications

• 5+ years of experience in applied machine learning, NLP, large language models, or AI research, with a proven track record of shipping production AI systems.
• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related field required; PhD is a strong plus.
• Deep experience with modern LLMs and agent architectures.
• Strong software engineering skills with production-quality Python and experience using modern AI frameworks.
• Demonstrated ability to design rigorous evaluation frameworks, benchmark models, and make data-driven decisions balancing quality, latency, cost, and reliability.
• Demonstrated ability to improve model cost/quality through experimentation—including retrieval optimization, fine-tuning, distillation, inference optimization, and agent design.

Preferred qualifications

• Publications at leading AI or NLP conferences (ACL, EMNLP, NeurIPS, ICML, ICLR, NAACL, CVPR) or meaningful contributions to open-source AI projects.
• Experience adapting foundation models and deploying production-scale LLM systems.

Benefits

• check_circle Compensation: The expected starting base salary for this role is $280,000+, in addition to equity and benefits. Final compensation will be determined based on factors including experience, technical depth, interview performance, and overall alignment with the role. We believe in paying competitively for exceptional talent and leveling compensation based on demonstrated impact.

About the company