Machine Learning Engineer, AI for Member Systems
Job Description:
• Collaborate with cross-functional teams including researchers, engineers, data scientists, and product managers
• Develop and implement machine learning algorithms to improve personalization and recommendations
• Create scalable, production-ready ML solutions
• Optimize performance and scalability of machine learning models
• Design and conduct offline experiments and A/B tests
• Contribute to the ongoing improvement of ML infrastructure and tooling
• Engage in continuous learning and development
Requirements:
• 5+ years of experience in applying machine learning in an industrial setting
• PhD or Masters in Computer Science, Statistics, or a related field
• Expertise in machine learning algorithms and frameworks
• Hands-on experience in training, tuning, and deploying models in production environments
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignment
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off
Apply tot his job
Apply To this Job
• Collaborate with cross-functional teams including researchers, engineers, data scientists, and product managers
• Develop and implement machine learning algorithms to improve personalization and recommendations
• Create scalable, production-ready ML solutions
• Optimize performance and scalability of machine learning models
• Design and conduct offline experiments and A/B tests
• Contribute to the ongoing improvement of ML infrastructure and tooling
• Engage in continuous learning and development
Requirements:
• 5+ years of experience in applying machine learning in an industrial setting
• PhD or Masters in Computer Science, Statistics, or a related field
• Expertise in machine learning algorithms and frameworks
• Hands-on experience in training, tuning, and deploying models in production environments
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignment
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off
Apply tot his job
Apply To this Job