About the Job
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,...
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...
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.
Key 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
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
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 engineering, data processing frameworks, streaming databases and data visualization.
You must be strong in coding skills and be ready to pick up any task and run with it.
You should have an experience with SQL and other programming languages like Python, Cala, or R
Experience with programming languages like Python and familiarity with frameworks like PyTorch, Tensorflow, Keras, etc.
Experience with statistical methods (linear models, multivariate analysis, stochastic
processes, sampling methods, etc.)
