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Machine Learning Engineering Manager
2 months ago
We are seeking a seasoned Machine Learning Engineering Manager to lead our team in developing and optimizing our personalized video recommendation engine.
Key Responsibilities- Technical Leadership: Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability.
- Collaboration and Innovation: Drive rapid iteration without compromising quality, working closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system.
- Decision-Making and Evaluation: Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes, conducting A/B testing and analyzing performance metrics to continuously improve the recommender system.
- Technical Excellence: Perform design and code reviews to raise the technical excellence bar.
- Machine Learning Expertise: Deep understanding of machine learning approaches, algorithms, and their application to recommender systems.
- Team Leadership: Experience setting the direction for teams focused on developing online ranking and recommendation models.
- Management and Mentorship: Strong management and mentorship skills, fostering a collaborative and innovative team culture.
- Communication and Collaboration: Excellent verbal and written communication skills, with meticulous attention to detail, and ability to effectively collaborate with stakeholders at all levels, both internally and externally.
- Problem-Solving: Ability to manage and solve ambiguous problems.
- Real-Time Recommendation Systems: Experience with real-time recommendation systems.
- Large-Scale Machine Learning Frameworks: Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Distributed Systems: Experience working with distributed systems.
- Machine Learning and System Designs: Experience working with machine learning, ranking infrastructures, and system designs.
- Continuous Learning: Ability to proactively learn new concepts and apply them at work.
Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
Our CultureWe believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification.
Our BenefitsWe do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success.
