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Evidence. Review. Action.
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Evergreen opportunityScope shaped to fit

Exceptional Talent, Open Discipline

An evergreen opportunity for people with demonstrable depth in one high-leverage discipline who want to build evidence-first data and AI systems.

Relevant areas of depth

One specialty, demonstrated deeply

These are examples rather than a checklist. Apply for the area where your evidence is strongest.

Business development

Create high-trust relationships, qualify consequential problems, and shape technically credible engagements.

Machine learning

Design, evaluate, and operationalize models or agent systems with explicit constraints and failure modes.

Data science

Turn ambiguous questions into causal analyses, experiments, forecasts, and decision-ready evidence.

Product and UI/UX

Make complex systems understandable, trustworthy, and usable in real operating workflows.

Data engineering

Build reliable pipelines, data models, observability, and provenance for decision-critical systems.

Another rare strength

Show us a capability that creates unusual leverage for the problems sig.ai works on.

What you may own

Own a consequential problem in your area of depth from definition through useful outcome

Translate specialist judgment into work that technical and business partners can evaluate

Make assumptions, evidence, uncertainty, and tradeoffs explicit

Build reusable methods, systems, relationships, or product capabilities rather than one-off output

Help shape the scope and success criteria of your role as mutual fit becomes clear

What strong evidence looks like

Unusually strong depth in at least one relevant discipline; broad but shallow coverage is not the goal

Evidence of shipped work, research, commercial outcomes, or craft that you can explain precisely

Independent judgment and the ability to work through ambiguity without hiding uncertainty

Clear communication across technical, product, and business contexts

High integrity when evidence is incomplete or a proposed approach is not working

Application brief

Make the signal easy to see

Start with a concise email. Attach a resume only if it adds useful context; evidence of exceptional work is more important than a generic cover letter.

A short note naming your area of exceptional depth and the problems you want to own

Two or three links or concise examples that provide evidence of your work and impact

Your preferred working arrangement, location, and the type of role or collaboration you are seeking

Send your introduction

Email [email protected]. Qualified conversations are used to define the actual problem, working arrangement, role, and terms before a formal process begins.

Apply by email

Applying does not guarantee an interview or that a role will be created.