*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
- You will work on developing and refining AI models. Publishing research outcomes in the form of dataset, model, demo apps and publications..
- You will also collaborate with colleagues across the organization to benchmark and optimize ML workloads on our GPU platforms.
- The ideal candidate will possess a solid research background with experience in generative models.
You
- Demonstrate a proven track record of enhancing existing machine learning methodologies, evidenced by significant achievements such as first author publications or notable projects.
- Manage and advance a research agenda, including selecting meaningful research problems and independently conducting long-term projects.
- Execute model training at scale, either by managing multiple experiments concurrently or overseeing critical high-cost runs to ensure optimal performance.
Nice to Have
- Experience in MLOps within a collaborative environment.
- Experience in training large models using distributed systems.
- Experience in creating high-performance implementations of deep learning algorithms.
Salary Range Information
Based on market data and other factors, the salary range for this position is $189,000 - $260,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.