AI/Data Resident at Ema

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Currently enrolled in a full-time undergraduate degree program in Computer Science or related field, graduating by June 2025/26
Top rankers in JEE Advanced and consistent high academic record (GPA) preferred
Strong interest in Machine Learning or Natural Language Processing (NLP), ideally in Generative AI, Natural Language Understanding, or related areas

Responsibilities

AI Resident
Research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous driving
Read deep learning papers, implement described models and algorithms, adapt them to the company's setting, and drive 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 more 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
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

Skills

Machine Learning

Data Engineering

Generative AI

LLMs

Orchestration

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

Land your dream remote job 3x faster with AI

Try Jobo Free