Internship

Data Science/Machine Learning Engineer Intern

Posted on 1/25/2024

Seismic

Seismic

1,001-5,000 employees

Global sales enablement solution

AI & Machine Learning

San Diego, CA, USA

Required Skills
Agile
Python
Data Science
Natural Language Processing (NLP)
Computer Vision
Requirements
  • Graduating from a STEM program in Machine Learning, AI, Data Science, or Computer Science in Spring 2025
  • Excellent interpersonal skills, strong partnership and collaboration skills, along with a desire to both learn and teach
  • High energy, enthusiasm, and ambition to grow in your career
  • Good organizational skills and attention to detail
  • Understanding of wide range of technologies in AI, Generative AI, data science, Computer vision, NLP, Python libraries, ML cloud services, and data tools
Responsibilities
  • Develop, deploy and optimize models to enable AI capabilities and improve user experience
  • Collaborate with a team of Machine learning, software and product experts to bring your model from idea to the product through micro-service-based systems
  • Work in an Enterprise SaaS platform in an Agile, cloud-based environment, and follow and ensure best engineering practices
  • Utilize and be exposed to a wide range of cutting edge technologies

Seismic helps marketing and sales teams fulfill their promise to drive revenue together.

Company Stage

Series G

Total Funding

$1.3B

Headquarters

San Diego, California

Founded

2010

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-6%

2 year growth

-6%

Benefits

Generous paid parental leave - Paid time off for moms and dads to spend time bonding with their new bundle of joy.

End-of-year paid recharge week - Our global offices shut down, allowing us all to unwind while we gear up for the new year ahead.

High performance bonus incentives - Employees are rewarded on a semi-annual basis for their awesome contributions to Seismic.

Global company meet-ups - An annual meet-up in sunny San Diego for a week of bonding, learning, and fun.

INACTIVE