Synced from Ashby · Apr 8

Applied AI Engineer

SafetyKitSan FranciscoPosted Apr 8, 2025
AI EngineerOn-siteMid
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Mirrored from SafetyKit's own Ashby careers system · refreshed hourly

8
Other open SafetyKit roles
Apr 8
Posted
Ashby
Applicant system
Job description

We’re inventing the future of B2B SaaS with AI agents. We’re betting on language models and we’re betting on scale. You’ll test new models the day they come out and understand their characteristics better than their developers do. 

You’ll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models.

You’ll work directly with customers every day and have unusual influence over operations and policy-making at the world’s biggest companies.

Responsibilities

  • Turn language models into useful, functional, and beautiful products.

  • Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.)

  • Architect and implement workflows that power SafetyKit's risk AI agents

  • Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases

  • Use codegen models to move 10x faster than you did two years ago

About you

  • You love language models.

  • You have the patience to be rigorous.

  • You act like an owner in everything you do.

  • People tell you you pick things up unusually quickly.

  • You love the weird little details of life in our customer’s companies. 

  • You care about your work and you care about moving fast. A lot.

  • You know more than you need to know. You have an insatiable curiosity.

View original posting on Ashby

What applying to SafetyKit usually looks like

Based on publicly available information, candidates applying through Ashby can typically expect a streamlined, structured application process with an online form requesting a resume and basic details, sometimes including optional screening questions. Ashby-based processes commonly include an initial recruiter or hiring manager screen, followed by one or more skill-specific evaluations that may involve take-home assignments, technical exercises, or portfolio reviews depending on the role—such as engineering, design, or go-to-market positions. Interview stages may include multiple conversations with team members, hiring managers, or cross-functional stakeholders. Communication is often handled through automated status updates within the platform, though response times vary by employer. Candidates should prepare role-relevant materials in advance, as companies using Ashby generally value clarity, organization, and efficient candidate experience throughout the hiring workflow.

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Applied AI Engineer
SafetyKit · San Francisco
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