Head of Research

Valency Systems is a small, dynamic team of engineers, scientists, and researchers building the global hub for the agentic research era.

We're based in Berkeley, California, and we're building something that matters. If you care about open science, advancing research at the speed of thought, and using AI to accelerate discovery, we'd love to talk.

Our team is hybrid. We come together in person 3 days a week, with the option for 2 days of remote work.

As our Head of Research , with a PhD or advanced degree in Computer Science, Statistics, or a related field, you will set the research agenda, shaping how and what we build, and directly influencing the trajectory of the product. This role reports directly to the CEO.

You'll be hands-on, collaborating with engineering and product leadership to make sure we're solving the right problems before we build the wrong things. If you thrive in a small, fast-moving environment where deep technical research has direct and immediate impact, this role was built for you.

Define the research roadmap, prioritizing work that reduces technical risk and accelerates delivery

Anticipate hard problems before they become expensive ones — running ahead of the engineering team to validate approaches and surface unknowns early

Establish research practices and standards that will scale as the team grows

Leverage graph database, algorithm, and recsys knowledge to tackle complex data representation and retrieval challenges

Drive measurable improvements in system efficiency and operational cost through research-led optimization

Apply expertise in large-scale ML systems to improve model performance, system efficiency, and cost at scale

Be a true partner to the Head of Engineering and Head of Science — not a hand-off relationship, but a tight collaborative loop

Work in close alignment with those in product and customer-facing roles to maintain methodological rigor across research output

Translate complex research findings into clear, actionable guidance for engineers and non-technical stakeholders alike

Manage and mentor (world class) junior researchers

Contribute to building a culture where curiosity, rigor, and pragmatism coexist

PhD or advanced degree in Computer Science, Statistics, or a related field

Strong command of graph databases and graph algorithms

A track record of running independent research programs and turning findings into engineering decisions — not just papers

Comfortable operating with autonomy in a fast-moving, resource-constrained environment

Experience with bibliometrics and/or research evaluation methodologies — this is a meaningful plus given our domain

Record of academic publications

Hands-on experience designing and deploying large-scale ML systems in production

Familiarity with cost modeling and performance benchmarking for ML infrastructure

You'll have real influence over how a technically ambitious company thinks and builds. This is a founding-team-adjacent position — the research infrastructure you establish will define how we operate for years to come.