AI Research Engineer

Zamblek; United States; Hybrid; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Zamblek is seeking an AI Research Engineer who loves advancing machine learning and artificial intelligence. You will explore modern AI techniques, experiment with models, and help transform research ideas into practical features for Zamblek's products.

You will research and prototype AI models, work on LLMs, generative AI, NLP, embeddings and retrieval systems, and collaborate with engineers to deploy scalable solutions. Strong ML fundamentals and Python proficiency are required.

Qualifikationen

• Strong fundamentals in ML required.
• Proficient in Python.
• Familiarity with neural networks and AI architectures.
• Understanding of LLMs and generative AI.

Aufgaben

• Research and experiment with AI and ML techniques.
• Explore LLMs, generative AI, NLP, embeddings, and retrieval systems.
• Prototype and evaluate AI models and solutions.
• Develop AI-powered features and integrate them into production apps.
• Analyze model performance and improve accuracy, efficiency, reliability.
• Stay up to date with AI research developments.
• Collaborate with engineers to turn research prototypes into scalable products.
• Document experiments, findings, and technical approaches.

Kenntnisse

Machine learning fundamentals

Python programming

Neural networks

LLMs and generative AI

Tools

NLP techniques

Embeddings

Retrieval systems

Jobbeschreibung

We are looking for an AI Research Engineer with a strong interest in machine learning and artificial intelligence. You will explore modern AI techniques, experiment with models and architectures, and help transform research ideas into practical features for Zamblek's products.

Responsibilities

• Research and experiment with modern AI and machine learning techniques.
• Explore LLMs, generative AI, NLP, embeddings, and retrieval systems.
• Prototype and evaluate AI models and solutions.
• Develop AI-powered features and integrate them into production applications.
• Analyze model performance and improve accuracy, efficiency, and reliability.
• Stay up to date with developments in AI research.
• Work with engineers to turn research prototypes into scalable products.
• Document experiments, findings, and technical approaches.

Requirements

• Strong understanding of machine learning fundamentals.
• Strong Python programming skills.
• Familiarity with neural networks and modern AI architectures.
• Understanding of LLMs and generative AI.