AI/Data Resident

Ema is hiring AI Residents and Data Residents for a 6-month remote internship program designed for final-year undergraduate students interested in artificial intelligence, machine learning, data engineering, and related technologies.

This is a Work From Home opportunity in India that provides students with practical exposure to real-world applications of machine learning and data engineering while working with experienced software engineers, machine learning practitioners, and data engineering professionals.

The program is designed to help students develop practical technical skills, understand how fast-growing technology startups operate, gain real-world experience, and build a deeper understanding of the Generative AI and data engineering industries.

Selected residents will work remotely from their campuses or homes. They are expected to work full-time during the summer and approximately 20–30 hours per week during the academic semester.

Top-performing residents may receive an opportunity to meet Ema’s co-founders and team at the company’s Bangalore office and may be awarded full-time positions at Ema after completing their internship.

About Ema

Ema is building an Agentic AI platform focused on transforming enterprise productivity.

The company describes Ema as the Universal AI Employee, designed to help organizations delegate repetitive tasks and improve workforce efficiency across different business functions.

Ema was founded by former executives from companies including Google, Coinbase, Flipkart, and Okta. Its team includes engineers from leading technology companies and graduates of institutions such as Stanford, MIT, UC Berkeley, CMU, and IITs.

The company is backed by investors including Accel, Naspers/Prosus, Section32, as well as individual investors such as Sheryl Sandberg and Dustin Moskovitz.

Ema is headquartered in Silicon Valley and has offices in London, Bangalore, and Vancouver.

What is the AI Resident/Data Resident Program?

The AI Resident/Data Resident program is a six-month remote internship that gives final-year students an opportunity to work on real-world applications of machine learning and data engineering.

The program aims to help students:

• Learn how fast-growing startups operate
• Develop practical technical skills
• Build real-world professional experience
• Understand the Generative AI industry
• Understand data engineering and machine learning applications
• Work with experienced software engineers and technical practitioners
• Build professional connections
• Work on scalable enterprise-focused solutions

The program is also intended to serve as a launchpad for future AI and Data leaders at Ema.

Top-performing residents may receive opportunities for full-time employment after completing their internships.

Key Responsibilities

1. AI Resident Responsibilities

AI Residents will work on machine learning and artificial intelligence projects involving model development, optimization, research, and deployment.

Their responsibilities may include:

• Researching deep learning papers
• Designing deep learning models
• Implementing models and algorithms described in research papers
• Optimizing machine learning models
• Deploying machine learning solutions
• Improving internal performance metrics
• Training machine learning models
• Developing AI algorithms
• Working with large language models
• Working on NLP technologies
• Developing backend systems and APIs
• Integrating language models into software applications
• Comparing and benchmarking different AI models
• Fine-tuning machine learning models
• Training open-source models
• Working with large-scale distributed training
• Optimizing deep neural networks
• Optimizing preprocessing and postprocessing code

2. Work on Generative AI and LLMs

AI Residents may work on several areas related to modern artificial intelligence, including:

• Prompt engineering for LLM models
• Fine-tuning models
• Training open-source models
• Large-scale distributed training
• Natural Language Processing
• Generative AI
• Natural Language Understanding
• Natural Language Generation
• Structured prediction
• Unsupervised learning
• Representation learning

Candidates should have a strong interest in machine learning or NLP and be prepared to work on challenging technical problems.

3. Develop Enterprise-Level Software

The AI Resident role also involves contributing to sophisticated enterprise software applications.

This may include:

• Backend system development
• API development
• Language model integration
• NLP technology integration
• Machine learning system development
• Software optimization

Residents will have the opportunity to contribute to systems designed for real-world enterprise applications.

4. Research and Implement AI Models

A typical day for an AI Resident may involve reading research papers, implementing the models and algorithms described in those papers, adapting them to Ema’s requirements, and improving internal performance metrics.

Candidates should therefore be comfortable learning from technical research and converting theoretical concepts into working implementations.

5. Data Resident Responsibilities

Data Residents will work with data gathering, transformation, processing, and analysis.

Responsibilities include:

• Gathering data
• Transforming data
• Processing data
• Conducting data analysis
• Working with large and complex datasets
• Solving difficult and non-routine analytical problems
• Applying advanced analytical methods
• Building analysis pipelines
• Prototyping data pipelines iteratively
• Generating insights at scale

The role is suitable for students interested in data engineering, data processing, analytics, and large-scale data systems.

Skills Required

Candidates applying for the AI Resident/Data Resident Program should have strong technical and analytical skills.

Important skills include:

• Python
• SQL
• Machine Learning
• Natural Language Processing
• Data Engineering
• Data Processing
• Data Analysis
• Statistical Methods
• Coding
• PyTorch
• TensorFlow
• Keras
• Data Visualization
• Systems Programming
• Data Processing Frameworks
• Streaming Databases
• Large-Scale Data Processing

Candidates should also have strong programming abilities and be prepared to independently take ownership of assigned tasks.

Eligibility Criteria

The AI Resident and Data Resident programs are intended for students who meet the following requirements:

• Currently enrolled in a full-time undergraduate degree program
• Studying Computer Science or a related field
• Currently in the final year of the degree
• Graduating by June next year
• Minimum 8.0 GPA
• Strong coding skills
• Strong academic record

The company also states that top rankers in JEE Advanced and candidates with consistent high academic records are preferred.

Candidates should have a strong interest in either machine learning/NLP or systems programming/data engineering.

AI Resident Eligibility

Students interested in the AI Resident program should have a strong interest in areas such as:

• Machine Learning
• Natural Language Processing
• Generative AI
• Natural Language Understanding
• Natural Language Generation
• Structured Prediction
• Unsupervised Learning
• Representation Learning

Experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or Keras is relevant to the role.

Data Resident Eligibility

Students interested in the Data Resident program may have an interest or experience in:

• Systems programming
• Data engineering
• Data processing
• Data processing frameworks
• Streaming databases
• Data visualization
• SQL
• Statistical analysis

Knowledge of statistical methods such as linear models, multivariate analysis, stochastic processes, and sampling methods is also mentioned.

Programming Skills

Candidates should be strong in coding and be willing to take ownership of different technical assignments.

The job posting specifically mentions experience with:

• SQL
• Python
• Scala
• R

The original listing also mentions “Cala” among programming languages; this has been retained as stated in the source.

Machine Learning Frameworks

For candidates interested in the AI Resident role, familiarity with machine learning frameworks is useful.

The listing specifically mentions:

• PyTorch
• TensorFlow
• Keras

Candidates should also be comfortable learning new technologies and applying them to practical machine learning problems.

Work From Home Requirements

This is a fully remote opportunity in India.

Residents can work from their respective:

• Homes
• College campuses

The program is designed to provide flexibility while allowing students to gain practical experience with Ema’s engineering and AI teams.

Working Hours

Residents are expected to work:

• Full-time during the summer
• Approximately 20–30 hours per week during the academic semester

The exact daily working schedule is not specified in the provided listing.

Working Days

The job posting does not specify a fixed number of working days per week.

Instead, the program states that residents are expected to work 20–30 hours per week on average during the semester and full-time during the summer.

Internship Duration

The AI/Data Resident program is a 6-month remote internship opportunity.

The program is designed to provide students with practical exposure to machine learning, artificial intelligence, data engineering, and enterprise technology.

Salary

The selected AI/Data Residents will receive a:

₹65,000 per month stipend

The company also states that compensation may vary based on factors such as location, level, job-related knowledge, skills, and experience.

Certain roles may also be eligible for variable compensation, equity, and benefits.

Benefits

AI/Data Residents receive several benefits as part of the program.

These include:

• ₹65,000 monthly stipend
• Coaching from experienced leaders
• Mentorship from accomplished professionals
• Access to a strong professional network
• Practical experience in AI and data engineering
• Opportunity to work with experienced engineers and practitioners
• Potential opportunity for a full-time position after the internship

Full-Time Opportunity

One of the key features of the program is the possibility of transitioning from the internship into a full-time role.

Top-performing residents may receive an opportunity to meet Ema’s co-founders and team at the Bangalore office.

The company states that top-performing residents may also be awarded full-time positions at Ema after their internship.

Number of Openings

The number of openings for the AI Resident/Data Resident program is not specified in the provided job listing.

Start Date

The exact start date is not specified in the provided job posting.

The program is intended for final-year students graduating by June next year.

Who Can Apply?

This opportunity may be suitable for final-year undergraduate students interested in:

• Artificial Intelligence
• Machine Learning
• Generative AI
• Natural Language Processing
• Data Engineering
• Data Science
• Data Analytics
• Backend Engineering
• Systems Programming
• Large Language Models
• Data Processing
• Statistical Analysis

Candidates should be strong in coding, have an academic GPA of at least 8.0, and be graduating by June next year.

How to Apply

Interested candidates can apply through Ema’s official job application page for the AI/Data Resident position.

Applicants should ensure that their application clearly demonstrates:

• Current undergraduate enrollment
• Computer Science or related academic background
• Graduation timeline
• GPA
• Programming experience
• Machine learning or data engineering interests
• Relevant technical projects
• Experience with Python, SQL, or other programming languages
• Relevant AI, NLP, data engineering, or analytics experience

Frequently Asked Questions

1. Is this a Work From Home job?

Yes. The AI/Data Resident program is a remote opportunity in India. Students can work from their respective campuses or homes.

2. Who is eligible for the AI/Data Resident program?

The program is open to students in the final year of an undergraduate degree in Computer Science or a related field who are graduating by June next year.

3. What is the minimum GPA required?

Candidates must have a GPA of 8.0 or above.

4. Is this internship suitable for freshers?

Yes. The program is specifically designed for final-year students and fresh graduates who want to gain practical experience in AI and data engineering.

5. How long is the internship?

The AI/Data Resident program is a 6-month internship.

6. How much is the stipend?

The listed stipend is ₹65,000 per month.

7. How many hours do residents need to work?

Residents are expected to work full-time during the summer and approximately 20–30 hours per week during the academic semester.

8. What programming languages are required?

The listing mentions Python, SQL, Scala, and R. Strong coding skills are expected.

9. What skills are required for the AI Resident role?

Important areas include Machine Learning, NLP, Generative AI, LLMs, Python, PyTorch, TensorFlow, Keras, prompt engineering, model fine-tuning, and distributed training.

10. What skills are required for the Data Resident role?

Data Residents should be interested in data engineering, data processing, data analysis, systems programming, SQL, statistical methods, streaming databases, and data visualization.

11. Is there a possibility of getting a full-time job?

Yes. The company states that top-performing residents may be awarded full-time positions at Ema after their internship.

12. Is the number of openings specified?

No. The provided job listing does not specify the number of available openings.

13. Is the start date mentioned?

No. The exact start date is not specified in the provided job listing.

14. What are the benefits of the program?

Benefits include a ₹65,000 monthly stipend, coaching and mentorship from accomplished leaders, and access to a strong professional network.

15. Where is Ema located?

Ema is headquartered in Silicon Valley and has offices in London, Bangalore, and Vancouver. The AI/Data Resident program itself is offered remotely in India.

Final Words

The AI/Data Resident Program at Ema is a six-month remote internship designed for final-year undergraduate students in Computer Science or related fields.

The program provides practical exposure to Artificial Intelligence, Machine Learning, Generative AI, NLP, data engineering, data processing, and enterprise software development.

AI Residents may work on machine learning models, LLMs, NLP technologies, model training, fine-tuning, prompt engineering, distributed training, and AI system optimization.

Data Residents may work with large datasets, data processing, data transformation, analytical pipelines, statistical methods, and scalable data analysis.

Candidates must have a GPA of 8.0 or above, strong coding skills, and be graduating by June next year. The program offers a ₹65,000 monthly stipend, mentorship, professional networking opportunities, and the possibility of receiving a full-time position at Ema for top-performing residents.