machine learning product manager
Machine Learning Product Manager (North America, Remote)
FreshBooks is a leading cloud-based SaaS accounting software designed with one goal: to help small business owners grow. We reached unicorn status after raising our valuation to more than $1 billion and continue to scale our business to serve business owners, their clients, and accountants in more than 160 countries worldwide. FreshBookers are found all over the globe, and we know that different folks thrive in different working environments: Remote, onsite, and everything in between, you'll find it with us. What You'll Do as a/an Machine Learning Product Manager You'll Stand Out If You Bring Experience In At FreshBooks each person knows their opinion is valued, and can see their impact on the lives of over 10 million small business owners around the world. Even if your experience doesn't meet every bullet on the above lists, we'd love to learn more about you and why you think FreshBooks is the next step in your career.
Why Your Organization Needs a Machine Learning Product Manager
Machine learning is everywhere you look, affecting many technologies and products that we use on a daily basis. But who are the product managers leading these products? Who is ensuring that the success metrics are set correctly and ethically? Who is responsible for accurate messaging around such products? Let's go several years back, and look at the Product Manager's role.
Using Reinforcement Learning to Design a Better Rocket Engine
In this blog, I'll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. In doing so, I'll demonstrate the application of ML techniques to the manufacturing industry and the role of the Machine Learning Product Manager. Machine learning (ML) has had an incredible impact across industries with numerous applications such as personalized TV recommendations and dynamic price models in your rideshare app. Because it is such a core component to the success of companies in the tech industry, advances in ML research and applications are developing at an astonishing rate. For industries outside of tech, ML can be utilized to personalize a user's experience, automate laborious tasks and optimize subjective decision making.