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Machine Learning Engineer
| Company | Unity |
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| Location | San Francisco, CA, USA |
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| Salary | $107600 – $145700 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Junior, Mid Level |
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Requirements
- Background in machine learning, optimization, statistics, or reinforcement learning.
- Proficiency in Python or similar programming languages, and familiarity with ML frameworks like TensorFlow or PyTorch.
- Solid software engineering skills and experience in production-grade systems.
- Strong analytical abilities with experience in experimentation and making data-driven decisions.
- Effective written/verbal communication to engage technical and non-technical audiences.
Responsibilities
- Design, build, and deploy machine learning models for ad ranking, targeting, bidding, and attribution.
- Develop solutions for both batch and real-time systems to positively influence important metrics like click-through rate, return on investment, revenue, and user engagement.
- Collaborate with multi-functional teams including product managers, applied scientists, and backend engineers.
- Translate cutting-edge research into production-ready solutions using scalable infrastructure and implementing best practices.
- Analyze model performance, conduct A/B testing, and refine approaches based on the results.
Preferred Qualifications
- Experience in advertising systems, recommendation engines, or large-scale prediction systems.
- Familiarity with ad auctions, user modeling, causal inference, or performance optimization strategies.
- Experience with large-scale data processing tools such as Spark, Kafka, or Airflow.
