Domino Data Lab

San Francisco, California, USA
240 Total Employees
100 Local Employees
Year Founded: 2013

Benefits at Domino Data Lab

Financial + Retirement

401(K)

Company equity

Employee stock purchase plan

Pay transparency

Child Care + Parental Leave

Childcare benefits

Company sponsored family events

Family medical leave

Generous parental leave

Office Perks

Commuter benefits

Company-sponsored outings

Fitness stipend

Company-sponsored happy hours

Onsite gym

Pet friendly

Recreational clubs

Free snacks and drinks

Some meals provided

Home-office stipend for remote employees

Professional Development

Continuing education stipend

Customized development tracks

Job training & conferences

Online course subscriptions available

Paid industry certifications

Promote from within

Lunch and learns

Continuing education available during work hours

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Pet insurance

Vision insurance

Wellness programs

Mental health benefits

Diversity

Documented equal pay policy

Mean gender pay gap below 10%

Mandated unconscious bias training

Diversity employee resource groups

Hiring practices that promote diversity

Culture

Volunteer in local community

Open door policy

Open office floor plan

Pair programming

Remote work program

Team based strategic planning

OKR operational model

Quarterly engagement surveys

Employee awards

Vacation + Time Off

Paid holidays

Paid sick days

Unlimited vacation policy

Flexible time off

Search the 5 jobs at Domino Data Lab

Artificial Intelligence • Machine Learning
As a Senior Software Engineer in the Life Sciences Team, you will enhance dataset functionalities, improve Git and version control support, and implement compliance features aligned with FDA requirements. Your role involves designing secure APIs, optimizing workspace performance, and automating data version tracking, all while promoting collaboration and ensuring transparency in the development lifecycle.
Artificial Intelligence • Machine Learning
The Staff Software Engineer will focus on developing and managing scalable AI and ML systems, collaborating with cross-functional teams, optimizing backend performance, and integrating deployment solutions on platforms such as AWS SageMaker and Azure ML, while also enhancing model monitoring and discovery.
Artificial Intelligence • Machine Learning
As an Enterprise Account Executive for Life Sciences at Domino, you will focus on executing sales strategies, developing relationships with senior leaders, and managing complex multi-million dollar deals in the Life Sciences sector. Your responsibilities include uncovering opportunities for new business, closing large contracts, and positioning the company effectively within client accounts.