Fractal

HQ
New York
Total Offices: 8
5,262 Total Employees

Fractal Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers dependent care

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Offers paid volunteer time

Provides paid sick days

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

YesterdaySaved
Remote
California, USA
Artificial Intelligence • Consulting
The Senior Data Modeler is responsible for designing and managing data models, ensuring data accuracy, compliance, and alignment with business needs.
3 Days AgoSaved
Remote
California, USA
Artificial Intelligence • Consulting
Lead product and visual design for an optimization program: design internal tools and dashboards, create A/B test variations for email and digital channels, and produce high-quality communications (decks, newsletters, launch assets). Own end-to-end design from discovery through prototypes and developer handoff, maintain design system, and collaborate closely with data scientists, engineers, producers, and program stakeholders.
3 Days AgoSaved
Remote
California, USA
Artificial Intelligence • Consulting
Build production-grade LLM applications (agentic chatbots, semantic search, RAG systems), fine-tune foundation models, implement RAG and agent architectures, integrate AI assistants with systems, design evaluation/governance pipelines, collaborate with cross-functional teams, and mentor junior data scientists.