Start Date
Immediate
Expiry Date
14 Sep, 25
Salary
0.0
Posted On
16 Jun, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Workshops, Global Teams, Creativity, Collaboration
Industry
Information Technology/IT
WE’RE REINVENTING THE MARKET RESEARCH INDUSTRY. LET’S REINVENT IT TOGETHER.
At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.
Numerator is looking for a passionate Deep Learning Software Engineer to join our growing Machine Learning team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of events, and other data. In this position, you will be responsible for taking on new initiatives to design, build, deploy, and support high performance deep learning systems in a rapidly-scaling environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a high growth and impact role that will give you tons of opportunity to drive decisions for projects from inception through production.
What You’ll Do:
WHAT YOU CAN EXPECT FROM YOUR INTERN EXPERIENCE
You’ll play an active role as a member of a dynamic team of supportive and highly motivated employees and leaders. From day one, you’ll be set up for success with your NuIntern buddy, who will be a key partner throughout your internship. Numerator’s onboarding program will introduce you to your new colleagues, immerse you into our culture, and provide you with resources to thrive.
Expect to make an impact on real projects, business challenges, clients, and our global teams. Interact and engage with colleagues in person at our cool headquarters, designed to further inspire innovation, creativity, and collaboration. You’ll also have the opportunity to participate in local events, Hack Days, networking, and workshops.