Senior Software Engineer (Machine Learning, Ads)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Software Engineer (Machine Learning, Ads): Developing and scaling machine learning models for ad targeting, measurement, and delivery ranking with an accent on real-time inference and large-scale data infrastructure. Focus on building foundational ML capabilities to enhance ad relevance and drive revenue within a high-traffic gaming platform.
Location: Must be based in the San Francisco Bay Area
Salary: $220,000–$275,000
Company
A multiplatform communication service focused on helping people deepen friendships around games and shared interests.
What you will do
- Design, develop, and deploy machine learning models for ads targeting and ranking.
- Build sophisticated ML solutions like identity graphs to enhance ad targeting.
- Optimize ad ranking models to serve effective ads based on campaign objectives.
- Scale ML infrastructure to support concurrent ad campaigns with low-latency decision-making.
- Collaborate cross-functionally to define and execute the Ads ML roadmap.
- Drive research and implementation of state-of-the-art ML techniques for online advertising.
Requirements
- 5+ years of experience as a Machine Learning Engineer or Data Scientist.
- 3+ years of experience specifically in Ads ML.
- Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Experience with applied deep learning such as transformers and embedding models.
- Proven track record of scaling ML-driven ad systems in real-world applications.
- Experience with real-time ML inference, A/B testing, and optimization frameworks.
Nice to have
- Understanding of performance advertising and its impact on revenue.
- Knowledge of ad tech industry standards including auction, pacing, and frequency.
- Experience with large-scale recommendation systems.
- Experience with large-scale data infrastructure and distributed computing.
Culture & Benefits
- Competitive base salary with equity and benefits.
- Opportunity to work on an early-stage Ads ML platform with direct business impact.
- Mission-driven environment focused on the future of gaming and community.
- Commitment to inclusion and reasonable accommodations during the hiring process.
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