V

Valency

Trusted AI reasoning infrastructure for science

Head of Research

Full-Time
No salary listed
Expert
Master's, PhD
Berkeley, CA, USA
HybridThree days on-site per week required.
AI & Machine LearningAI Research

About the job

Requirements
  • A PhD or advanced degree in Computer Science, Statistics, or a related field is required.
  • Candidates must have a strong command of graph databases and graph algorithms.
  • Candidates must have a track record of running independent research programs and turning findings into engineering decisions, not just papers.
  • Candidates must be comfortable operating with autonomy in a fast-moving, resource-constrained environment.
  • Candidates must be legally authorized to work in the United States.
Responsibilities
  • Define the research roadmap, prioritizing work that reduces technical risk and accelerates delivery.
  • Anticipate hard problems before they become expensive by 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 recommender-system 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 machine learning systems to improve model performance, system efficiency, and cost at scale.
  • Partner closely with the Head of Engineering and Head of Science in a collaborative loop.
  • Work closely with 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.
  • Manage and mentor junior researchers.
  • Contribute to building a culture where curiosity, rigor, and pragmatism coexist.
Desired Qualifications
  • Experience with bibliometrics and/or research evaluation methodologies.
  • A record of academic publications.
  • Hands-on experience designing and deploying large-scale machine learning systems in production.
  • Familiarity with cost modeling and performance benchmarking for machine learning infrastructure.

About the company

Valency provides a trusted research infrastructure that grounds AI reasoning in real scientific literature, addressing hallucinations from large language models. Its Valency Bond connects with LLMs and next-generation tools to create a grounded reasoning workflow for researchers. Unlike general AI platforms, Valency focuses on integrating credible, up-to-date research content to accelerate discovery for the 35 million researchers worldwide. The product works by linking LLMs with a framework and tools that rely on real research data, enabling researchers to enhance reasoning, verify results, and streamline scientific workflows. The company differentiates itself by offering a grounded, research-backed ecosystem and infrastructure designed specifically to support scientific inquiry, aiming to speed up discoveries and improve trust in AI-assisted research.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2026

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 22, 2026 Genesis Mission selection gives Valency federal validation and budgeted demand.
  • August 2026 job postings for product, growth, and research roles signal active scaling.
  • Valency's public corpus reaches 450+ million documents, a moat for scientific search.

What critics are saying

  • Genesis is the first real-world use; commercial revenue remains unproven.
  • Javelin's August 1, 2026 posting says Valency has almost no data infrastructure.
  • If scientists ignore provenance-heavy tools, Valency's entire agentic-science thesis collapses.

What makes Valency unique

  • Valency Bond indexed 450+ million papers and preprints, with citations traceable within hours.
  • Its MCP-native infrastructure powers audited AI agents for DOE-backed HERALD research.
  • CEO Josh Bloom and COO Ryan Anderson pair Berkeley science with enterprise execution.

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Benefits

  • Hybrid Work Options
  • Remote Work Options
  • Company Equity
  • 401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

20%

1 year growth

20%

2 year growth

20%
PR Newswire
Jul 22nd, 2026
Valency selected for DOE Genesis Mission to accelerate nuclear power research with AI agents

Valency has been selected for the US Department of Energy's Genesis Mission to accelerate nuclear power research using AI agents. The company will partner with Lawrence Berkeley National Laboratory on the HERALD project, led by scientists Daniela Ushizima and Peter Nugent. HERALD aims to deploy AI agents to review vast archives of nuclear power research, allowing human security experts to focus on critical judgment calls. Valency will provide the AI agent infrastructure to support hundreds of millions of scientific documents whilst maintaining auditable chains of custody required for DOE compliance. The system uses the Model Context Protocol natively, enabling AI agents to work across the archive whilst keeping human experts in control of final decisions. Valency specialises in foundational infrastructure for AI-accelerated science.