Founding Machine Learning Engineer (AI)

TL;DR

Founding Machine Learning Engineer (AI): Building and optimizing an AI-driven talent matchmaking engine with an accent on semantic retrieval, embeddings, and scoring models. Focus on designing durable representations and high-performance Python services to rank candidates against roles in seconds.

Location: Hybrid in London (Borough) — work together approximately 3 times a week.

Company

hirify.global is an early-stage, venture-backed platform closing the gap between top software engineering talent and ambitious companies.

What you will do

• Own the AI-driven matchmaking engine, designing representations and scoring models from the ground up.
• Build and evaluate embedding models, vector search, and semantic retrieval systems.
• Create practical evaluation frameworks for model behavior and output quality.
• Develop voice agent backends and LLM pipelines with a deep model-level understanding.
• Ship production-grade Python services with a focus on reliability, latency, and observability.

Requirements

• Deep understanding of ML foundations (embeddings, attention, and retrieval systems).
• Proven experience deploying production ML systems, moving beyond prototypes and notebooks.
• Strong backend execution in Python (FastAPI or equivalent, async patterns, Postgres, Redis).
• Expertise in ML model evaluation, metrics design, and failure analysis.
• Must be based in or able to work hybrid in London.

Nice to have

• Experience with recommendation systems, ranking models, or candidate/item matching.
• Background in classical ML (supervised/unsupervised, feature engineering, gradient boosting).
• Experience with voice agents or real-time audio pipelines.
• Familiarity with Pydantic AI or similar agent frameworks.
• Experience in recruiting tech or marketplace systems.

Culture & Benefits

• Above-market salary and significant equity.
• Full private healthcare, dental, and fertility benefits.
• Enhanced parental support and gym/wellness memberships.
• Professional toolset including MacBook Pro and extensive Claude tokens.
• Team-centric environment with regular socials, offsites, and an annual trip.