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Machine Learning Engineer, Safety

falSan FranciscoEngineering
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Salary
$180K – $250K
Job type
Full-time
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

fal is hiring a full-time Machine Learning Engineer, Safety to join their Trust and Safety team in San Francisco. This in-person role suits an experienced engineer who wants to build and scale machine learning systems that protect a fast-growing generative media ecosystem.

Role Overview

The Machine Learning Engineer, Safety will take complete ownership of the machine learning systems and underlying infrastructure protecting the platform. Working on-site in San Francisco five days a week, this position focuses on creating robust solutions that detect harmful content and platform misuse. The person in this role will ensure that rapid platform innovation happens securely by maintaining high-performance detection pipelines across more than one thousand models.

Key Responsibilities

Build, design, and manage end-to-end machine learning models and infrastructure for abuse detection and safety.
Enhance the scalability, latency, accuracy, and overall coverage of platform detection pipelines.
Collaborate closely with the Infrastructure and Security Engineering departments to deeply embed safety protocols into the main platform architecture.
Assess and incorporate third-party safety software and vendor models where appropriate.
Research current trends in machine learning safety and integrate modern techniques into the existing technology stack.
Utilize massive GPU clusters designated for model evaluation and inference.

Requirements

Demonstrated hands-on background in trust and safety, abuse detection systems, or content moderation.
Robust end-to-end engineering skills with the ability to manage both machine learning models and production infrastructure.
Capability to independently navigate ambiguous, high-stakes challenges with minimal precedent.
Availability to work on-site in San Francisco five days a week.

Skills and Tools

Python
PyTorch
Diffusers
Kubernetes
Fal Python SDK

Salary and Benefits

Annual salary ranging from $180,000 to $250,000 in USD
Equity compensation
Comprehensive health, dental, and vision insurance coverage for US employees
Relocation assistance provided to San Francisco
Opportunities for professional learning and growth
Frequent team events and company offsites

About the Company

fal, operating through fal.ai, functions as a generative media ecosystem that supplies infrastructure, tools, and model access for developers and enterprises. The platform unites high-performance inference, orchestration, and observability to help teams transition generative media concepts into practical production environments at scale.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

PythonKubernetesMachine Learning

Questions candidates ask

What is the location of the job?

The position is based in San Francisco, with employees working in-person five days a week.

What is the salary range for this role?

The salary ranges from $180,000 to $250,000 per year, plus equity and benefits.

What qualifications are required?

Candidates must have prior hands-on experience in trust and safety, content moderation, or abuse detection systems, along with strong end-to-end engineering fundamentals.

What technologies and tools will I use?

The core technologies used include Python, PyTorch, diffusers, Kubernetes, and the fal Python SDK.

Does the company offer relocation assistance?

Yes, relocation assistance to San Francisco is provided.

Ready to apply?

The application is on the official fal careers page.

Apply on company site