Founding Engineer (AI/ML)

Clera
San Francisco, CA
On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have experience building recommendation systems and working with LLM-powered features.

Best fit for

  • Candidates with experience in building end-to-end ML models and recommendation systems for product features
    — “Develop and operate recommendation, ranking, and retrieval systems.”
  • Individuals who have shipped LLM-powered features with production APIs and data pipelines
    — “Experience building LLM-powered features with production APIs, as well as maintaining production data pipelines and services.”
  • Engineers comfortable with full-stack development in TypeScript or Python and ML frameworks like PyTorch or TensorFlow
    — “Strong production engineering skills in TypeScript or Python, with hands-on experience using PyTorch, TensorFlow, or an equivalent ML framework.”

Things to consider

  • On-site presence in San Francisco is required for six days per week
    — “On-site in San Francisco, California. The role requires working in person six days per week.”
  • The role demands rapid iteration and high delivery pace in a startup environment
    — “shipping at a rapid cadence.”

How to stand out

  • Emphasize end-to-end ML model development and deployment in your resume and interview responses
    — “own these systems end to end”
  • Highlight experience with LLM-powered features and production APIs in your application materials
    — “Experience building LLM-powered features with production APIs”
  • Showcase your ability to build and maintain data pipelines and ML services in your portfolio or projects
    — “Architect and maintain the data pipelines and services that support production models.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed recommendation systems
  • built LLM-powered matching features
  • shipped ML models
  • maintained data pipelines
Typical background
software engineeringmachine learningdata science

Skills & requirements

Required

Recommendation SystemsRanking AlgorithmsLlm-powered MatchingData PipelinesProduction Engineering

Preferred

ReactSupabasePrismaTypesense

Stack & domain

TypeScriptPythonPyTorchTensorFlowReactSupabasePrismaTypesenseAIRecruiting Marketplace

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product. You will own these systems end to end and work closely with the founding team to turn product goals into production software.

WHAT YOU'LL DO

  • Develop and operate recommendation, ranking, and retrieval systems.
  • Build LLM-powered matching features that improve candidate and role alignment.
  • Take features from problem definition through production, shipping at a rapid cadence.
  • Architect and maintain the data pipelines and services that support production models.
  • Partner with the founding team to translate product goals into working systems.

WHAT WE'RE LOOKING FOR

  • Two to five years of professional software engineering experience building and shipping end-to-end product features.
  • Production experience with recommendation systems, ranking algorithms, or ML-powered matching, plus evidence of personally shipping ML models or products to users.
  • Strong production engineering skills in TypeScript or Python, with hands-on experience using PyTorch, TensorFlow, or an equivalent ML framework.
  • Experience building LLM-powered features with production APIs, as well as maintaining production data pipelines and services.
  • Strong computer science fundamentals and experience working in fast-paced environments with rapid iteration.
  • React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are useful additions.
  • Demonstrated technical achievement through substantial projects, open-source work, or comparable experience.

COMPENSATION & BENEFITS

Base salary is $130,000 to $170,000 annually, plus equity. Visa sponsorship is available for eligible candidates.

LOCATION

On-site in San Francisco, California. The role requires working in person six days per week. Relocation assistance is available.

Source: Clera careers (Ashby)

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