Machine Learning Intern at Ema

San Francisco, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should have 2+ years of industry experience in a software engineering, data science, or ML role, strong coding skills in Python, and experience with ML frameworks like PyTorch or TensorFlow. A solid foundation in data structures, algorithms, and software engineering principles is required, along with exposure to NLP, deep learning, reinforcement learning, or retrieval systems. Experience working with real-world data and SQL, and familiarity with MLOps, cloud infrastructure, and scaling ML models are also beneficial.

Responsibilities

The Machine Learning Intern will work alongside senior ML engineers to research, build, and deploy machine learning models across NLP, retrieval, ranking, and reasoning. They will prototype and experiment with LLM-based architectures and agentic systems, help process and analyze large-scale datasets, build data pipelines, contribute to model training and evaluation, and participate in the deployment of models in production. The intern will also assist with validation experiments such as A/B testing and contribute to technical discussions and code reviews, collaborating closely with cross-functional teams.

Skills

Python

PyTorch

TensorFlow

Data Structures

Algorithms

NLP

Deep Learning

SQL

Data Processing

MLOps

Cloud Infrastructure

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.

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