Research Engineer/ Applied Scientist

The posting, as Wisdom AI wrote it

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

We're looking for exceptional Research Engineers who enjoy turning cutting-edge AI research into production systems used by enterprise customers. This role sits at the intersection of research and engineering - you'll design experiments, invent new approaches, and ship systems that directly impact customer experience.

This role is based out of our San Mateo office.

WHAT YOU'LL DO

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

WHAT WE'RE LOOKING FOR

• 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.

NICE TO HAVE

• 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

[…]
, 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.

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Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.

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Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.