Senior Machine Learning Engineer (Infrastructure)

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models. Your expertise in Python and familiarity with frameworks like TensorFlow allow you to build robust ML solutions that meet business needs. You understand the importance of scalable and reliable infrastructure, and you have experience with cloud technologies, particularly AWS. Your knowledge of containerization tools such as Docker and orchestration platforms like Kubernetes enables you to streamline ML workflows effectively.

You are passionate about automation and have a keen interest in MLOps practices. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver exceptional customer experiences. Your problem-solving skills and attention to detail help you identify and address challenges in ML model deployment and optimization. You are committed to continuous learning and growth, always seeking to enhance your skills and knowledge in the rapidly evolving field of machine learning.

Desirable

Experience with MLflow for managing the ML lifecycle is a plus, as is familiarity with PostgreSQL for data management. You may also have experience with other ML frameworks or tools that complement your skill set, enhancing your ability to contribute to the team.

What you'll do

In your role as a Senior Machine Learning Engineer at SimpliSafe, you will lead the development and deployment of machine learning models that enhance our home security solutions. You will collaborate with data scientists and software engineers to optimize ML workflows, ensuring that our infrastructure is scalable, reliable, and secure. Your responsibilities will include designing and implementing ML pipelines, monitoring model performance, and iterating on models based on feedback and data insights.

You will also play a key role in automating processes to improve efficiency and reduce manual intervention in ML operations. By leveraging your expertise in AWS, you will help maintain and enhance our cloud infrastructure, ensuring that it meets the demands of our growing ML initiatives. You will be involved in conducting experiments to validate model performance and making data-driven decisions to refine our approaches.

Your contributions will directly impact our mission of keeping every home secure, as you work to deliver innovative and effective security solutions. You will have the opportunity to mentor junior team members, sharing your knowledge and fostering a culture of learning within the team.

What we offer

At SimpliSafe, we embrace a hybrid work model that allows you to balance your time between our state-of-the-art office in Boston and remote work. We believe in creating a supportive and safe workplace for all employees, where collaboration and innovation thrive. You will be part of a dynamic team that is dedicated to making a difference in the home security industry.

We offer competitive compensation and benefits, including opportunities for professional development and growth. You will have access to the latest tools and technologies to help you succeed in your role. Join us in our mission to disrupt the home security space and make every home a safe home.