Patreon is seeking a Staff Machine Learning Engineer to join their Growth team. This role offers an exciting opportunity to work at the intersection of machine learning and product development, focusing on driving growth for the platform.
As a Staff Machine Learning Engineer at Patreon, you'll be part of the Engineering, Product & Design department, specifically within the Software Engineering team. You'll play a crucial role in developing and implementing machine learning solutions that directly impact Patreon's growth strategies.
The position is available in two major tech hubs: San Francisco and New York, offering flexibility for candidates in different locations. This is a full-time role, ideal for those looking for a long-term, challenging position in a dynamic company.
Patreon offers a competitive compensation package, with a salary range of $221,000 to $299,000, reflecting the senior level and high impact nature of this role. This compensation demonstrates Patreon's commitment to attracting top-tier machine learning talent.
The hybrid work model for this position allows for a balance between in-office collaboration and remote work, catering to the evolving preferences of today's tech professionals.
Patreon is known for empowering creators, and as a Staff Machine Learning Engineer, you'll be at the forefront of using AI and ML technologies to enhance this mission. You'll work on projects that directly influence how creators and patrons interact with the platform, potentially increasing engagement, retention, and overall growth of the Patreon ecosystem.
This role is perfect for an experienced machine learning engineer who is passionate about applying their skills to real-world problems in the creator economy. You'll have the opportunity to work with large datasets, implement cutting-edge ML algorithms, and see the direct impact of your work on Patreon's success.
Join Patreon and be part of a team that's revolutionizing how creators are supported and how content is valued in the digital age. Your expertise in machine learning will be instrumental in shaping the future of the creator economy.