Machine Learning Engineer

Join a fast-paced, tech-driven team committed to revolutionizing the job recruitment process using cutting-edge machine learning. As a Machine Learning Engineer , you’ll play a pivotal role in optimizing the core products of a fast-growing company that is transforming the hiring landscape with AI. This opportunity will allow you to develop scalable solutions and work with state-of-the-art technologies to drive forward a product that’s already impacting millions of users worldwide.

About the Company

Our client is a rapidly growing AI-powered recruitment platform that’s changing how companies find talent. They focus on leveraging large datasets and machine learning to help companies find the right candidates faster and more effectively than traditional methods. Their platform serves a broad range of customers, from emerging startups to large AI labs. The team is headquartered in San Francisco and works closely with top investors in the industry to continue innovating and scaling the business.

About the Role

As a Machine Learning Engineer , you will be responsible for developing and optimizing key components of the product, specifically an API that ranks candidates based on relevance and quality. You'll have the opportunity to work with large, proprietary datasets and use machine learning techniques to improve accuracy and efficiency. In this role, you'll be expected to develop and deploy sophisticated models, while also contributing to the continuous improvement of existing systems. You’ll need to think quickly, troubleshoot complex problems, and iterate rapidly to deliver solutions that align with business goals.

What We Can Offer You

• Competitive salary with performance-based bonuses
• Opportunities to work with cutting-edge machine learning technologies
• Exposure to a wide variety of projects in the recruitment and AI space
• Collaborative, high-impact environment with a team of experts
• Access to significant resources and investment for innovation
• Health and wellness benefits, including flexible scheduling

Key Responsibilities

• Design and develop machine learning models for ranking candidates based on relevance
• Work with large datasets to improve the platform’s recommendation engine
• Develop robust back-end solutions, ensuring scalability and efficiency
• Collaborate closely with cross-functional teams to integrate machine learning models into the core product
• Continuously iterate on the API to enhance performance and accuracy
• Maintain a high standard of code quality and ensure rapid scaling

Machine Learning Engineer candidates should possess strong proficiency in Python , experience with SQL , and familiarity with cloud platforms like AWS or GCP. Experience in transformer models such as BERT and knowledge of recommendation systems will be key assets in excelling in this position.