Domino Data Lab

San Francisco, California, USA
340 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 4 jobs at Domino Data Lab

Artificial Intelligence • Machine Learning
The Senior Software Engineer will enhance Domino Datasets' API access, improve Git support, implement regulatory compliance features, automate data tracking, optimize performance, and ensure high-quality back-end systems in a scalable environment.
Artificial Intelligence • Machine Learning
You will design solutions for model deployment, create a Data Science Catalog, implement model monitoring, improve tagging capabilities, and enhance LLM hosting for customer scalability. Collaboration with cross-functional teams and API development are key responsibilities.
Artificial Intelligence • Machine Learning
As Principal Product Manager for AI Factory, define and execute product strategies to enhance Domino's capabilities in developing and deploying AI systems. Lead MLOps development, drive innovation in Generative AI applications, and enhance platform integration to accelerate AI project lifecycles.