Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Machine Learning Engineer (AI): Designing and optimizing large-scale continual pre-training pipelines for VLM foundation models with an accent on integrating diverse multimodal data streams. Focus on troubleshooting performance issues and translating research into production-ready systems.
Location: Onsite in Mountain View, California, United States
Salary Range: $204,000β$259,000 USD
Company
is an autonomous driving technology company focused on building the Driver to improve access to mobility.
What you will do
- Design, implement, and optimize large-scale continual pre-training pipelines for VLM foundation models.
- Conduct research on novel pre-training techniques for multimodal data integration.
- Develop metrics for evaluating performance and transferability of models.
- Troubleshoot performance and scalability issues in distributed training infrastructure.
- Stay current with advancements in LLMs and VLMs.
Requirements
- 5+ years of experience in Machine Learning, focusing on large-scale model development.
- Proven expertise in LLM/VLM pre-training and continual learning.
- Strong coding proficiency in Python and deep learning frameworks.
- Hands-on experience with model training and deployment.
- Master's degree in Computer Science or related field.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ Π²Π°Ρ ΠΏΡΠΎΡΡΡ Π²ΠΎΠΉΡΠΈ Π² iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β