Motional

Santa Monica, California, USA
765 Total Employees
Year Founded: 2020

Similar Companies Hiring

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
37 Offices
2407 Employees
Artificial Intelligence • Computer Vision • Hardware • Robotics • Transportation • Automation • Manufacturing
Boston, MA
62 Employees
Automotive • Big Data • Insurance • Software • Transportation
Medford, MA
1600 Employees

Benefits at Motional

Financial + Retirement

401(K)

401(K) matching

Company equity

Performance bonus

Child Care + Parental Leave

Adoption Assistance

Childcare benefits

Family medical leave

Office Perks

Commuter benefits

Fitness stipend

Relocation assistance

Free snacks and drinks

Some meals provided

Home-office stipend for remote employees

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Pet insurance

Vision insurance

Wellness programs

Culture

Flexible work schedule

Open office floor plan

Remote work program

Professional Development

Job training & conferences

Promote from within

Lunch and learns

Diversity

Mandated unconscious bias training

Diversity employee resource groups

Vacation + Time Off

Unlimited vacation policy

Recently posted jobs

10 Hours AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Automotive • Machine Learning • Transportation
Define and lead the security architecture for autonomous driving systems, ensuring robust controls for safety-critical components and overseeing security requirements based on industry standards.
YesterdaySaved
Remote or Hybrid
Boston, MA, USA
Artificial Intelligence • Automotive • Machine Learning • Transportation
Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.
2 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Automotive • Machine Learning • Transportation
The role involves developing ML algorithms for autonomous driving, including training models, evaluating performance, and improving behavioral models.