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Benefits offered by this job
Fully paid health insurance
Paid parental leave
Unlimited PTO
Job summary
A leading Ad Tech firm in California is seeking a Principal Applied Scientist to lead AI strategy and drive innovation in machine learning. The role entails developing next-generation models in NLP and deep learning, conducting high-impact research, and mentoring a talented team. The ideal candidate should have over 7 years of experience in machine learning, a relevant advanced degree, and a strong publication record. Competitive compensation ranges from $220,000 to $260,000.
Qualifications
7+ years of experience building and deploying machine learning models at scale.
Demonstrated ability to lead complex ML projects from research to production.
At least two peer-reviewed publications in AI-related fields.
Responsibilities
Set the vision for applied ML research and decision-making across products.
Conduct advanced research in NLP and deep learning.
Develop, optimize, and deploy high-throughput ML models.
Explore novel AI techniques for enhancing targeting and personalization.
Design, run, and analyze A/B experiments to test strategies.
Provide technical leadership for a team of applied scientists.
Skills
Machine learning models
Deep learning
Natural Language Processing (NLP)
Reinforcement learning
Python
TensorFlow
PyTorch
Distributed computing
Education
Master's degree or PhD in Computer Science or related field
Tools
AWS
GCP
Azure
Job description
A leading Ad Tech firm in California is seeking a Principal Applied Scientist to lead AI strategy and drive innovation in machine learning. The role entails developing next-generation models in NLP and deep learning, conducting high-impact research, and mentoring a talented team. The ideal candidate should have over 7 years of experience in machine learning, a relevant advanced degree, and a strong publication record. Competitive compensation ranges from $220,000 to $260,000.