Staff Machine Learning Engineer — Build AI for Mental Health

Slingshot AI

Greater London

Hybrid

GBP 120,000 - 160,000

Full time

9 days ago

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Benefits offered by this job

Office travel NYC-London
Competitive compensation & equity
Free lunch & coffee in office
Learning budget
Personal therapy

Job summary

Slingshot AI, the team behind Ash, is seeking a Member of Technical Staff focused on Machine Learning to ship models, training infrastructure, harnesses, and evals end-to-end. You will join a small, world-class team in London or NYC offices, owning important parts of the product and driving meaningful impact on mental health tech.

We value ownership, curiosity about ML, and a hunger to build a market-leading platform.

Qualifications

  • 3+ years of engineering experience.
  • Experience with LLMs, ideally with fine-tuning, harness engineering, and evals.
  • Proficient in using agents to do your homework for you.
  • Driven by creating a world-class product with a world-class team, want to own what you build.
  • Experience in a fast-paced startup, or the drive to thrive in one.
  • Collaborative and direct. You enjoy working in person with a small team.

Responsibilities

  • Ship models, training infra, harnesses and evals end-to-end.
  • Design, build and launch the tech that makes Ash differentiated as a specialized model for mental health.
  • Act as an owner and deliver value to users, shipping experiments and features as we learn.

Skills

3+ years engineering experience
LLMs experience
Agent-based research
Ownership & delivery
Startup experience
In-person collaboration

Tools

Dart/Flutter
Kotlin
Next.js
TypeScript
Rust
gRPC
GCP

Job description

Slingshot AI, the team behind Ash, is seeking a Member of Technical Staff focused on Machine Learning to ship models, training infrastructure, harnesses, and evals end-to-end. You will join a small, world-class team in London or NYC offices, owning important parts of the product and driving meaningful impact on mental health tech.

We value ownership, curiosity about ML, and a hunger to build a market-leading platform.

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