CentML

Palo Alto, California, USA
50 Total Employees
Year Founded: 2022

Similar Companies Hiring

Artificial Intelligence • Machine Learning
San Francisco, CA
200 Employees
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
4 Offices
1000 Employees
AdTech • eCommerce • Machine Learning • Marketing Tech • Software
4 Offices
350 Employees

Benefits at CentML

Financial + Retirement

401(K)

Company equity

Performance bonus

Office Perks

Commuter benefits

Company-sponsored outings

Free daily meals

Onsite office parking

Relocation assistance

Free snacks and drinks

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Mental health benefits

Culture

Flexible work schedule

Open door policy

Open office floor plan

Team based strategic planning

Employee-led culture committees

Day off for your birthday

Quarterly engagement surveys

Hybrid work model

In-person all-hands meetings

Child Care + Parental Leave

Generous parental leave

Vacation + Time Off

Generous PTO

Paid holidays

Paid sick days

Professional Development

Job training & conferences

Mentorship program

Paid industry certifications

Promote from within

Lunch and learns

Personal development training

Apprenticeship programs

Diversity

Hiring practices that promote diversity

Recently posted jobs

44 Minutes Ago
Remote
10 Locations
Machine Learning • Software
Develop and enhance the CentML platform for machine learning, focusing on scheduling and performance of ML models across several cloud service providers.
8 Days Ago
Remote
Hybrid
10 Locations
Machine Learning • Software
The role involves designing and maintaining an infrastructure for ML models, leading a team of engineers, and ensuring reliable cloud deployment across multiple providers.
8 Days Ago
Hybrid
2 Locations
Machine Learning • Software
As a Senior Site Reliability Engineer, you will enhance CentML's infrastructure reliability, lead complex projects, mentor teams, and optimize ML systems performance and security.