Senior Machine Learning Engineer at Kayzen

Are you ready to push the boundaries of machine learning within a high-scale environment? We are looking for a talented individual to join our team as a Senior Machine Learning Engineer and help us shape the future of programmatic advertising.

What you bring

As a senior member of our engineering team, you will act as a vital link between our data science initiatives and our ad systems infrastructure. This is a full-time, remote position available to candidates located anywhere. You will be responsible for building robust systems that handle massive datasets while ensuring our models perform at their peak. Your core responsibilities include:

• Streamlining the entire lifecycle of our machine learning models to accelerate experimentation and deployment.
• Developing and maintaining sophisticated monitoring tools to ensure our production models remain reliable and efficient.
• Collaborating closely with data scientists to research and implement innovative models tailored for our AdTech platform.

Requirements

We are seeking a seasoned practitioner with over five years of experience in taking big data models from initial concept to successful production deployment. You should possess a strong command of Python and Java, along with deep expertise in SQL and NoSQL databases. A solid academic foundation in fields like Computer Science, Mathematics, or Physics is essential. We value candidates who are proactive problem solvers with the ability to translate complex business needs into technical solutions. Proficiency in frameworks such as PyTorch, TensorFlow, and MLFlow, combined with experience in AWS Sagemaker, will be key to your success in this role. Excellent communication skills are required to effectively manage stakeholders and contribute to our collaborative, international culture.

What we offer

Joining our team means becoming part of a group of industry experts dedicated to transforming the AdTech market. We offer a dynamic environment where you will work closely with management and have a direct impact on our product. Our benefits package includes:

• Full remote work flexibility.
• A dedicated home office setup budget.
• An annual budget specifically for your learning and professional development.

How to Apply

If you are passionate about the craft of machine learning and want to help us build world-class infrastructure, we would love to hear from you. Please reach out to us with your background and experience to begin the conversation about joining our team.