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Job Location: Bengaluru, Karnataka, The Great Bharat
Job Detail:
In today’s world of limited attention spans, the only way to get someone’s attention is by making your message relevant, timely, and, most importantly, visually appealing. Every business is trying to get our attention and this problem gets harder each day as we split our time between more apps.
For over 30 years, businesses have used desktop software like Adobe Photoshop, Illustrator, and After Effects to make visually appealing creative content. Such software is extremely powerful but so complex that only professional designers with years of training can use it. And even they take hours to make a single creative.
Businesses are now using banners and videos at every customer touchpoint, beyond the obvious use in ads. Open your 5 favorite apps and see how many creatives they use in them to get a sense of the scale of creative content that teams have to make. Multiple products, multiple offers, multiple languages, multiple platforms, all make content creation a massive challenge for businesses that Photoshop and other pre-Internet era software were just not designed to solve.
Rocketium is building what today’s fast-moving, high-growth businesses need – rapid creation, massive scale, collaboration, integrations, APIs, and more. Rather than focusing on Adobe or competitors, we focus on our customers – some of your favourite apps. We help them grow by using visual content to run more relevant campaigns faster with a 50x lower design effort. Our product combines Photoshop integration, powerful web-based creation, collaboration, integration with ad and push platforms, analytics, and multiple AI-powered features.
Rocketium has always been bought by customers. Customers ranging from early-stage startups to Fortune 50 behemoths felt the pain of waiting weeks to get creatives for their marketing campaigns and sought us out to solve this problem. We learned a lot from our customers and went from being a video creation API to an all-in-one workspace for creative ops.
What You’ll Be Doing
The internship will start in Jul/Aug and the duration of this internship will be 6+ months. Rocketium’s analytics suite currently specializes in providing precise insights for social campaigns by enriching the performance data with additional computer vision and ML/AI-based attributes that are generated from the visual creatives of a campaign. Rocketium serves enterprise customers for marketing objectives like awareness, engagement, and conversion, across all social media platforms.
- Collaborate with our engineering team to develop and implement machine learning algorithms and models tailored to address specific business challenges
- Assist in data collection, pre-processing, and feature engineering to support AI/ML initiatives
- Participate in designing, developing, and deploying AI-powered features within our platform
- Work closely with cross-functional teams to integrate AI/ML capabilities seamlessly into our existing product ecosystem
- Contribute to model evaluation and performance optimization through experimentation and iteration
- Stay updated on the latest AI/ML advancements and industry trends, and propose innovative ideas for enhancing our platform’s capabilities
- Document your work, including code, methodologies, and findings, to contribute to the company’s knowledge base
Who You Are
- Pursuing or recently completed a degree in Computer Science, Data Science, AI, or any other engineering field
- Working knowledge or previous experience with machine learning models and techniques
- Proficiency in programming languages such as Python, and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, sci-kit-learn)
- Experience with data pre-processing, feature extraction, structured and unstructured data manipulation
- Strong problem-solving skills and the ability to think critically about business challenges and potential AI/ML solutions
- Effective communication and teamwork skills, with the ability to collaborate across departments and convey technical concepts to non-technical stakeholders
Your future teammates
- Leadership – Anurag (Product), Karan (Sales, Success), Santosh (Engineering), Dhruva (Marketing), Satej (CEO)
- Marketing – Rohit (Senior Manager), Akshay (Director, Product Marketing)
- Product – Parth (Product Manager), Kapil (Product Manager), Rachana (Associate Product Manager)
- And more from Engineering, Marketing, and Sales
Prepare for the process
- Engineering culture
- Some of our work
- Industry Overview
- Product Overview
- Glassdoor
Beyond the pay-cheque
- 8-4-5 working hours: We make sure you keep your balance between work and life while achieving your goals.
- Unlimited vacation policy: We actively encourage taking time off. We trust each other to act in our own best interest along with our team’s.
- Meals & munchies: Teams that eat together stay together!
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