We are seeking an innovative and experienced Applied Scientist to join our team. This role offers the opportunity to work on cutting-edge machine learning and deep learning projects that will redefine customer engagement.

Responsibilities

• Develop and implement advanced personalization algorithms to enhance user experiences across various platforms.
• Design predictive lead scoring models to optimize customer acquisition and retention strategies.
• Architect end-to-end machine learning pipelines for large-scale deep learning models.
• Conduct rigorous testing and analysis to measure model impact and iterate on solutions.
• Collaborate with cross-functional teams to translate research into scalable, production-grade systems.
• Stay updated on industry trends and contribute to research publications and patents.

Skills

• PhD or Master's degree in Computer Science, Statistics, or a related field.
• 6+ years of applied research experience, or 4+ years with a PhD.
• Hands-on experience in building, deploying, and monitoring production-grade machine learning models.
• Strong proficiency in Python and PyTorch.
• Comprehensive understanding of deep learning concepts and techniques.
• Excellent analytical and problem-solving skills.

Preferred Skills

• Experience deploying deep learning models to solve real-world business challenges.
• Familiarity with MLOps practices, including CI/CD pipelines and model monitoring.
• Knowledge of emerging techniques in machine learning, such as federated learning and automated feature engineering.
• Experience in personalization and lead scoring analytics.

We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives.

Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.