Machine Learning Engineer, Safety

Summary by AIEngineer.careers

Machine Learning Engineer, Safety is a Machine Learning Engineer role (full-time). with fal. in SAN FRANCISCO, US. Compensation shown: $180K–$250K. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).

Imported listing (source: feeny.ai) · Apply on feeny.ai

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SAN FRANCISCO · US

$180K–$250K

Full-time

MID

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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from feeny.ai

fal is hiring a Machine Learning Engineer on its Trust & Safety team to own the ML models and ML infrastructure behind safety and abuse-detection systems end-to-end. You will build and scale detection pipelines across a platform serving 1,000+ generative media models, working closely with Security and Infrastructure Engineering. The role is hands-on and in-person in San Francisco, with access to a large GPU cluster for inference and evaluation.

Responsibilities

Design, build, and maintain ML models and ML infrastructure for safety and abuse-detection systems end-to-end
Improve accuracy, coverage, latency, and scalability of detection pipelines across the platform
Partner with Security and Infrastructure Engineering to integrate safety systems into core platform infrastructure
Evaluate and integrate third-party safety tooling and vendor models
Stay current with the ML safety and detection landscape and bring new techniques and infrastructure patterns into the stack

Requirements

Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems
Strong end-to-end engineering fundamentals, comfortable owning both ML and the infrastructure serving it in production
Comfortable owning ambiguous, high-stakes problems with limited precedent
Based in San Francisco; in-person 5 days a week

Nice to Have

Experience with large-scale inference or GPU infrastructure
Familiarity with generative media models and tooling

Benefits

Equity / stock optionsHealth insurancedental insurancevision insurancerelocation assistanceteam events

Tech Stack

Diffusersfal Python SDKKubernetesPythonPyTorch

fal

San Francisco · US · 198+ employees

fal is a generative media platform that provides developers with a unified API to access, run, and fine-tune generative image, video, audio, and 3D models. It offers an inference engine designed for high-speed generative media and provides both serverless and dedicated compute solutions.