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
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