AI Resident

icon building Company : Ema
icon briefcase Job Type : Full Time

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Job Description - AI Resident

Ema - a universal AI employee redefining the concept of productivity in enterprises 

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. 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. Ema is based in Silicon Valley with offices in Bangalore.

What is the AI resident program?

  • A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and GenAI 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 industry and form valuable connections.

  • Become a part of our extraordinary team of world-class software engineers and leading machine learning practitioners who are all passionate about applying groundbreaking techniques to AI.

  • 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 leaders of our company

Who is eligible for this program?

Our AI Resident program is open for students in the final year of their undergraduate degree and graduating by June 2025. 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 semester.

What will AI residents do?

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

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

  • You must be currently enrolled in a full-time degree program graduating by June 2025

  • You should have an expertise and a strong interest in 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. 

  • 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.

What benefits do you get as an AI resident?

  • Monthly Stipend - Rs 65,000 per month

  • Coaching and mentorship from highly accomplished leaders.

  • Connections to a powerful and sought-after network of world leaders for future endeavors.

How to become an AI resident at Ema?

  • Apply for the program with your credentials by 30 June

  • The shortlisted submissions will be invited for a video interview with one of our Machine learning engineers who will dive deeper into your solutions and understand your problem solving approach

Apply now and take the first step towards an exciting career in AI and machine learning with Ema!

Ema is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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