מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Key job responsibilities
- Develop novel algorithms and modeling techniques to advance the state of the art with LLMs- Build novel online & offline evaluation metrics and methodologies.
- Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements.
- Drive scalable and hands-off-the-wheel solutions.- Partner with engineers to integrate prototypes into production systems.
-Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing.
- Set high standards of coding and integrate successful models and algorithms in production systems.
- Use the best practices in science: data integrity, design, test, and implementation and documentation.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 5+ years of industry or academic research experience
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Strong technical skills and experience in Forecasting, Deep Learning, and Time series modeling or/and Causal Inference
משרות נוספות שיכולות לעניין אותך