*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.