Sight Machine

HQ
San Francisco
Total Offices: 2
67 Total Employees
Year Founded: 2011

Similar Companies Hiring

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
4 Offices
918 Employees
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
2 Offices
160 Employees
Big Data • Cloud • Software • Database
14 Offices
5550 Employees

Sight Machine 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 dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Offers legal assistance

Provides free snacks and drinks

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 gym membership

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

6 Days AgoSaved
In-Office
2 Locations
Big Data
The role involves leading strategic transformations in manufacturing using AI technologies, working closely with clients to define solutions, manage projects, and enhance user experience.
17 Days AgoSaved
In-Office
San Francisco, CA, USA
Big Data
As a Manufacturing Outcomes Engineer, you'll lead technical delivery and quality assurance for Sight Machine's Manufacturing Data Platform, collaborating with teams to translate business needs into technical solutions.
18 Days AgoSaved
In-Office
San Francisco, CA, USA
Big Data
As an Infrastructure Engineer, you'll enhance our Kubernetes-based cloud platform, implement CI/CD pipelines, build AI automation, and ensure strong observability, collaborating closely with development teams to improve infrastructure.