Senior Machine Learning Engineer, Growth
Description For Senior Machine Learning Engineer, Growth
Patreon, the leading platform for creators to build lasting creative businesses, is seeking a Senior Machine Learning Engineer to join their Growth team. With over 250,000 creators using the platform and having sent over $3.5 billion to creators, Patreon is committed to funding the creative class.
This role offers an exciting opportunity to work on cutting-edge machine learning solutions that directly impact creators' success. As a Senior Machine Learning Engineer, you'll be responsible for the entire ML lifecycle - from exploratory data analysis and model development to production deployment and performance monitoring.
Key responsibilities include conducting data analyses, collaborating with cross-functional teams, preparing training data, developing and iterating on ML models, and ensuring smooth deployment to production. You'll also play a crucial role in debugging complex systems and continuously improving model performance.
The ideal candidate brings a strong background in end-to-end machine learning, proficiency in Python, and a keen eye for detail. You should have a curious mindset, excellent communication skills, and a passion for empowering creators through innovative ML solutions.
Patreon offers a competitive benefits package, including equity, healthcare, unlimited PTO, learning stipends, and a 401k with matching. The company culture is built on core values like putting creators first, building with craft, making it happen, and winning together.
Join Patreon in San Francisco or New York on a hybrid work model, and be part of a team that's shaping the future of the creator economy. If you're excited about applying your ML expertise to empower creators worldwide, this role could be your next big opportunity.
Responsibilities For Senior Machine Learning Engineer, Growth
- Conduct exploratory data analyses and proof-of-concept machine learning models
- Collaborate with cross-functional partners
- Analyze and prepare training data
- Train and iterate on machine learning models
- Deploy machine learning models to production
- Debug models and iterate on performance
Requirements For Senior Machine Learning Engineer, Growth
- Experience in end-to-end machine learning team environment
- Clean and robust code writing in Python or other programming languages
- Experience debugging complex systems
- Curious mindset and ability to dive deeply into datasets
- Solid communication skills and clear documentation writing
- Growth mindset
- Passion for empowering creators with new machine learning solutions
Benefits For Senior Machine Learning Engineer, Growth
- Competitive salary
- Equity plans
- Healthcare
- Unlimited paid time off
- Company holidays and recharge days
- Commuter benefits
- Lifestyle stipends
- Learning and development stipends
- Patronage
- Parental leave
- 401k plan with matching
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