Scientist to Machine Learning Engineer
Description For Scientist to Machine Learning Engineer
Patreon, a leading platform in the creator economy, is seeking a PhD scientist to transition into a Machine Learning Engineering role. This position offers a unique opportunity to apply advanced technical expertise in a dynamic environment focused on empowering creators. The role combines structured learning with hands-on experience in developing and deploying machine learning solutions.
The position is perfect for candidates with a strong academic background in technical disciplines who are eager to transition into practical machine learning applications. You'll be part of a mission-driven company that has facilitated over $8B in creator earnings and supports 30M+ free memberships.
As a Machine Learning Engineer, you'll engage in the full ML lifecycle - from exploratory data analysis to model deployment. The role offers comprehensive training and mentorship, making it ideal for those with strong technical foundations looking to build practical ML engineering skills. You'll work with cross-functional teams to solve real-world problems that directly impact creators' success.
The company culture emphasizes putting creators first, building with craft, making things happen, and winning together. Patreon offers an impressive benefits package including equity, healthcare, unlimited PTO, and various stipends. The hybrid work model (2 days in office) provides flexibility while maintaining collaborative opportunities.
This role represents an excellent opportunity for PhDs looking to transition from academia to industry, offering both structured learning and immediate practical application in a high-impact environment.
Responsibilities For Scientist to Machine Learning Engineer
- Learn fundamentals of Machine Learning Engineering through training sessions and mentorship
- Conduct exploratory data analyses and develop proof-of-concept machine learning models
- Collaborate with cross-functional partners to design effective machine learning solutions
- Analyze and prepare training data, including crowdsourcing data labeling techniques
- Train and iterate on machine learning models using novel techniques
- Deploy machine learning models to production and write backend code
- Debug models and iterate when observability shows performance gaps
Requirements For Scientist to Machine Learning Engineer
- PhD in a technical discipline (Physics, Chemistry, Engineering, Math, Biology, Psychology, Economics, etc.)
- Finishing PhD by December 2024 or already a postdoc/early faculty
- Fluent in Python and experience with PySpark or SQL
- Strong statistical skills and solid analytical thinking
- Basic understanding of machine learning concepts
- Strong coding skills with clean, well-documented code
- Great communication skills with focus on clarity and simplicity
Benefits For Scientist to Machine Learning Engineer
- 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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