Scale AI

HQ
San Francisco
523 Total Employees
Year Founded: 2016
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Scale AI Benefits Overview

Compensation + BenefitsCompany CultureWork-Life Balance + Wellbeing

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

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Scale AI

Senior / Staff Machine Learning Research Scientist, Agents

One Month AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Machine Learning
This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.
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Scale AI

ML Research Engineer, ML Systems

One Month AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Machine Learning
This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.
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Scale AI

Machine Learning Research Scientist, Post-Training

27 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Machine Learning
Research and develop novel post-training methods such as SFT, RLHF, reward modeling, and preference optimization for text and multimodal LLMs. Analyze model behavior, improve alignment and generalization, mitigate bias, enhance robustness, and publish findings at leading AI conferences. Collaborate with engineers, researchers, and foundation model labs to establish data-driven AI development practices and provide technical and strategic guidance.
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