Machine Learning Engineer

A promising startup in the Generative AI field has developed an AI assistant solution for the developer community. Their AI mechanism creates software for organizations and development teams, using a system based on Deep Learning and Big Data that learns and understands code as humans do, enabling faster and more efficient coding.

They are funded with $32M, stable, offer competitive conditions, and are experiencing growth.

The company has 40 employees, is located in Tel Aviv near a train station, and operates a hybrid model with two work-from-home days per week.

Responsibilities:

• Innovation and Research: Spearheaded innovative research initiatives at the intersection of machine learning and software engineering. Pioneer new algorithms, models, and techniques that enhance developer productivity, code quality, and collaboration.

• Product Impact: Implement research insights as product features that have a significant impact on a huge customer base.

• Advanced Model Development: Develop complex machine learning models tailored to software engineering tasks. Create solutions that encompass code understanding, completion, recommendation, and other intelligent coding assistance functionalities.

• Prototyping and Experimentation: Rapidly prototype and experiment with cutting-edge ideas. Validate hypotheses through empirical research and data-driven methodologies. Iterate on models to achieve exceptional performance.

• Collaboration: Collaborate closely with cross-functional teams, including engineers, designers, and product managers.

Requirements:

• 2 years of hands-on experience designing, training, and deploying machine-learning models

• MSc or higher in Computer Science / Mathematics / Statistics or equivalent from a university

• Practical experience with Natural Language Processing (NLP) and LLMs

• Experience with data acquisition, data cleaning, and data pipelines

• A passion for building products and helping people, both customers and colleagues

• All-around team player, fast, self-learning individual

146695