Machine Learning Innovation Lead
1 day ago
**About OPPO US Research Center**
We are a technology innovation leadership team in the fast-growing OPPO Research Center, dedicated to advancing machine learning technology and leveraging algorithms to address significant business challenges.
In this position, you will play a crucial role in refining our recommender system, search algorithms, and ad targeting algorithms. If you thrive on innovative work, collaboration with cross-functional teams, and solving real business problems, this role is great for you.
Key Responsibilities:- Lead initiatives to improve and expand our machine learning algorithms, ensuring they can solve real business problems. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.
- Closely collaborate with skilled teams of business analysts, data scientists, and software engineers to ensure your solutions are reliable and efficient to serve millions of users.
- Continuously refine machine learning models and algorithms to enhance our recommender systems, search algorithms, and ad targeting algorithms.
- Innovate and improve our machine learning technologies, keeping abreast of the latest research and implementing new advancements into practical applications.
**Qualifications:**
- Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, or a closely related field.
- 3 years' experience with demonstrated ability to solve complex problems and a strong track record of real business problem solution delivery.
- Proficiency in Python programming and extensive experience with machine learning libraries.
- Strong communication skills with a proven ability to work effectively in team-oriented environments.
**Compensation and Benefits:*
The estimated salary range for this full-time position is $175,000-$275,000 + bonus + long-term incentives benefits. Our compensation packages are determined by role, level, and location.
OPPO US Research Center is proud to be an equal opportunity workplace, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
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