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Clera

Founding Engineer (AI/ML)

San Francisco
Salary
$130,000 - $170,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Sponsors visas

Open. First seen 11 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Supabase · TensorFlow · Vector Databases

Rare in Clera's other 299 open postings.

Standard for data science / ML roles

LLM · Machine Learning · PyTorch · Python

Common in data science / ML postings at any company.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that recommend and match candidates with roles. As a founding engineer, you will own this core product area and work closely with company leadership to turn product goals into production systems.

What You'll Do

  • Build and own recommendation, ranking, retrieval, and matching systems.
  • Develop LLM-powered features that improve alignment between candidates and roles.
  • Take product features from problem definition through implementation and production release.
  • Architect and maintain the data pipelines and services that support production models.
  • Collaborate with company leadership and ship improvements at a rapid cadence.

What We're Looking For

  • Two to five years of experience building and shipping end-to-end software features in production environments.
  • Production experience with recommendation systems, ranking algorithms, or ML-powered matching.
  • Applied machine learning experience, including shipping models or ML-powered products to users.
  • Proficiency in TypeScript or Python, plus experience with production LLM APIs and ML frameworks such as PyTorch or TensorFlow, or equivalent.
  • Experience building and maintaining production data pipelines and services, ideally in a fast-paced startup environment.
  • Strong computer science fundamentals and evidence of notable technical work, such as open-source contributions or personal projects.
  • Helpful experience includes React, embeddings, vector search, Supabase, Prisma, Typesense, or workflow automation tools.

Compensation & Benefits

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

Location

On-site in San Francisco, California. This role works in person six days per week.

Other openings for this role

2 open postings for this role in San Francisco, first posted 28 September 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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