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Blankstate

AI-driven governance compliance in corporate communications

Lead Machine Learning Research Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Six or more years building and shipping machine-learning systems used by customers, with end-to-end responsibility from offline metrics to user-visible behavior.
  • Strong experience in at least one of the following: federated or edge machine-learning systems; evaluation and orchestration; simulation-based testing and benchmarking; compiler-style configuration systems or a related area.
  • Ability to own a multi-surface engineering program while deepening one component.
  • Fluency in PyTorch and modern serving infrastructure.
  • Comfort engaging with the front-end team on Rust- and React-adjacent product work, even if not writing it.

Responsibilities

  • Own the engineering bridge between deep model research experimentation and the production ecosystem.
  • Translate research findings into engineering work, regressions into research questions, and production observations into experimental probes.
  • Unblock others and contribute to a multi-surface engineering program.

Desired Qualifications

  • Experience with privacy-preserving machine learning in production, including differential privacy, federated averaging, secure aggregation, or on-device inference at scale.
  • Experience evaluating modern models under realistic constraints such as tool use, multi-step reasoning, memory, and parallel execution.
  • Open-source contributions to evaluation harnesses or simulation frameworks.
  • A published research idea shipped as customer-visible product behavior.

About the Company

Blankstate

AI-driven governance compliance in corporate communications

Traceflow.io provides AI-powered governance and compliance tooling that integrates into existing corporate communication channels to ensure alignment with company policies, values, and inclusion guidelines. Its core product, E.V.A (Enterprise. Value. Alignment.), ingests a company’s governance protocol and identifies patterns in language, risks, and microaggressions to keep rules up to date without retraining. It embeds as a browser extension giving employees a personal AI guide inside their workflows to improve policy alignment and inclusion while boosting productivity. Unlike many competitors, it uses federated learning to preserve employee privacy and offers in-workflow integration on a subscription basis to scale governance and DEI alignment.

Company size
11-50
Company stage
Late Stage VC
Total funding
$540K
Headquarters
London, United Kingdom
Founded
2019

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