Scale AI

HQ
San Francisco
523 Total Employees
Year Founded: 2016

Scale AI Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers accidental death & dismemberment insurance

Offers childcare benefits

Offers generous parental leave

Provides family medical leave

Offers company equity

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Recently posted jobs

One Month AgoSaved
In-Office
5 Locations
Artificial Intelligence • Big Data • Machine Learning
As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.
3 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Big Data • Machine Learning
Lead the architecture and production deployment of agentic AI systems for classified and mission-critical government environments. Build systems for geospatial reasoning, retrieval, embeddings, persistent memory, orchestration, evaluation, and reliability. Own shared ML infrastructure, define technical direction, partner across engineering and research teams, mentor engineers, and drive ambiguous initiatives from prototype to supported production capability.
3 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Machine Learning
Owns the architecture, development, evaluation, and production deployment of generative AI, agentic AI, computer vision, and reinforcement learning systems for mission-critical government applications. Responsibilities include building scalable ML infrastructure, improving models through tuning and retraining, developing evaluation benchmarks, partnering with users and research teams, mentoring engineers, and designing for classified and resource-constrained environments.