About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.

We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world.

What is the AI resident/Data Resident program?

• A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises.

• Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections.

• Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners.

• At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema.

• We envision this program as a launchpad for future AI/Data leaders of our company.

Who is eligible for this program?

Our AI Resident & Data Resident programs are open for students in the final year of their undergraduate degree in Computer Science or related fields and graduating by June next year. Must have 8.0 or above GPA. This is a remote opportunity which offers you the flexibility to work from your respective campuses/homes. You would be expected to work full time during the summer and 20-30hrs / week on average during the semester.

AI Resident

Responsibilities

• Research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous driving

• A typical day to day includes reading deep learning papers, implementing described models and algorithms, adapting them to our setting and driving up internal metrics

• Play a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologies

• Train machine learning models at Ema

• Develop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,

• Comparing and benchmarking performance of different models

• Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device

Data Resident

Responsibilities

• Conduct analysis that includes data gathering, data transformation, data processing and analysis

• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods

• Build and prototype analysis pipelines iteratively to provide insights at scale

What makes you a good fit for the AI resident / Data Resident program?

• You must be currently enrolled in a full-time degree program in Computer Science or related field graduating by June next year

• Top rankers in JEE Advanced and consistent high academic record (GPA) preferred.

• Strong interest in either:

  • Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Generative AI, Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning.

AND/OR

• Systems programming, data