Staff Machine Learning Engineer, Growth

Patreon is a platform that empowers creators by providing tools for them to run a subscription content service.
$221,000 - $299,000
Machine Learning
Staff Software Engineer
Hybrid
501 - 1,000 Employees
7+ years of experience

Description For Staff Machine Learning Engineer, Growth

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.

Last updated 4 months ago

Responsibilities For Staff Machine Learning Engineer, Growth

  • Develop and implement machine learning models to drive growth
  • Analyze large datasets to extract insights and inform decision-making
  • Collaborate with cross-functional teams to identify and prioritize ML opportunities
  • Design and conduct A/B tests to measure the impact of ML initiatives
  • Optimize existing ML models and pipelines for improved performance
  • Stay current with the latest advancements in ML and AI technologies
  • Mentor junior team members and contribute to the overall growth of the ML practice at Patreon

Requirements For Staff Machine Learning Engineer, Growth

Python
  • Experience with machine learning algorithms and techniques
  • Strong programming skills, particularly in Python
  • Experience with big data technologies
  • Knowledge of statistical analysis and modeling
  • Familiarity with cloud computing platforms (e.g., AWS, GCP)
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Experience with A/B testing and experimentation

Benefits For Staff Machine Learning Engineer, Growth

Medical Insurance
Dental Insurance
Vision Insurance
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

Interested in this job?

Jobs Related To Patreon Staff Machine Learning Engineer, Growth

Staff Machine Learning Engineer, Trust & Safety

Staff Machine Learning Engineer position at Patreon focusing on Trust & Safety, with hybrid work options in San Francisco or New York.

AIML - Engineering Manager, ML Systems Evaluation Engineering

Engineering Manager position at Apple leading ML systems evaluation, focusing on Siri and Apple Intelligence products, offering competitive compensation and benefits.

Engineering Program Manager, On-Device ML

Engineering Program Manager position at Apple focusing on on-device machine learning implementation and cross-functional team leadership.

Sr. SDE (L6), ML Ops

Senior Software Engineer role focused on building and scaling ML infrastructure for AWS data centers

Engineering Manager - Machine Learning for Content Personalization

Lead Netflix's Machine Learning team for content personalization, developing next-gen algorithms for entertainment recommendation.