Forward Deployed Engineer
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Job Summary
About Us
Isidor is building the foundation of reliable believe that the next leap in AI depends as much on understanding and measuring model behavior as it does on model size. To make AI trustworthy we need systems that verify outputs benchmark performance and automate evaluation across billions of examples.
Isidor was founded by engineers and researchers who care deeply about precision transparency and scientific are a small fast-moving team working directly with frontier AI labs and enterprise to make evaluation as measurable and reproducible as training itself.
Founded in September 2025 Isidor raised an oversubscribed $3.6m pre-seed from leading funds including Gradient Ventures futurepresent and Seedcamp along with angels from Google DeepMind Perplexity Motive Episode 1 and more.
The Role
As a Forward Deployed Engineer you will work directly with frontier AI labs and enterprise to design and ship the infrastructure behind their most critical data workflows. You will embed with research teams understand their challenges and build the pipelines tools and automations that move their experiments forward.
This is not a traditional backend role. You will translate ambiguous research needs into high-leverage technical systems blending engineering with problem-solving and seeing the impact of your work in real time. You will ship fast iterate constantly and help shape how the worlds most advanced models are trained and evaluated.
What Were Looking For
- Highly-driven self-starters with strong proficiency in Python including data manipulation scripting and automation (new grads/juniors with relevant intern/professional experience encouraged)
- Experience with data wrangling and preprocessing cleaning raw data and preparing it for ingestion into machine learning systems
- Familiarity with machine learning workflows including feature engineering dataset curation and evaluation pipelines
- Advanced coursework in mathematics and/or evidence of strong applied mathematical reasoning
- Strong research and communication skills: ability to translate ambiguous research problems into robust scalable technical solutions
What Youll Do
- Design custom data pipelines and integrations to collect clean and process high-quality training and evaluation data
- Build technical infrastructure for advanced quality control workflows including model-in-the-loop and human-in-the-loop systems
- Develop tools to automate experiments that improve model safety interpretability and human alignment
- Prepare datasets for ingestion into machine learning pipelines ensuring consistency accuracy and reliability
- Collaborate with applied AI teams and top AI labs to turn research ideas into production-ready infrastructure
Why Join Us
Your work will directly influence the development of the next generation of AI models giving you the opportunity to make an outsized impact on frontier research and implementation in enterprise.
Our momentum: 0 7 figures in revenue in <1 month
Backed by: Gradient Ventures futurepresent Seedcamp along with angels from Google DeepMind Perplexity Motive Episode 1 and more
Details
Employment Type: Full time in-office
Location: London (in-person) with potential for relocation to San Francisco in H1 2026 (with visa support)
Compensation:Competitivesalary equity
Benefits
- Relocation package
- Housing bonus (if within 3 miles of the office)
Required Experience:
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