Head of Research

Valency Systems Inc.

Berkeley (CA)

Hybrid

USD 180,000 - 320,000

Full time

14 days+

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Benefits offered by this job

Equity
Hybrid work
Competitive salary

Job summary

Valency Systems Inc. is seeking a Head of Research in Berkeley, CA. You will set the research agenda, drive technical direction, and collaborate with engineering and product leadership to ensure impactful, scalable solutions.

You will lead a small team of researchers, advance graph-based data representations, and apply large-scale ML insights to improve product outcomes. This hybrid role shapes our research infrastructure and strategic priorities.

Qualifications

  • PhD or advanced degree in Computer Science, Statistics, or a related field.
  • Strong command of graph databases and graph algorithms.
  • Track record of running independent research programs and turning findings into engineering decisions.
  • Comfortable operating with autonomy in a fast-moving, resource-constrained environment.

Responsibilities

  • Set and drive the research agenda, prioritizing high-impact work.
  • Contribute technically to large-scale ML systems and data representations.
  • Lead cross-functional collaboration with engineering and product leadership.
  • Mentor junior researchers and shape a culture of rigor and curiosity.

Skills

Graph databases
Graph algorithms
Independent research
Autonomy

Education

PhD or advanced degree in Computer Science or Statistics

Tools

Bibliometrics
ML systems deployment

Job description

About Valency

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

About Valency

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.

The Position

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.

What You'll Do
Set and drive the research agenda
  • 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
Deep technical contribution
  • 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
Cross-functional leadership
  • 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
People & culture
  • Manage and mentor (world class) junior researchers
  • Contribute to building a culture where curiosity, rigor, and pragmatism coexist
Required
What We're Looking For
  • 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
Preferred
  • 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
Why This Role

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.

Compensation, Benefits & Equity

We offer a competitive salary, benefits, and meaningful equity in a company building something important from the ground up.

Work Authorization: Candidates must be legally authorized to work in the United States.

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