Senior Research Engineer - Applied Research

Luma AI; Palo Alto (CA); On-site; USD 175,000 - 250,000; Full time

Job summary

A leading company in AI and machine learning is seeking talented individuals to join its applied research team. The role involves implementing advanced AI capabilities and tuning models using cutting-edge technologies like GPU clusters. Ideal candidates will possess strong Python skills and a passion for generative AI, working directly on technology that impacts real-world applications.

Benefits

Competitive equity packages

Comprehensive benefits plan

Qualifications

• Significant experience in Python, particularly with ML frameworks like PyTorch.
• Understanding of visual AI and experience with models like diffusion models.
• Strong interest in multi-modal generative AI.

Responsibilities

• Implement cutting-edge generative AI features for our products.
• Fine-tune models, including dataset creation and evaluation.
• Train and run ML classifiers to categorize data attributes.

Skills

Python

Visual AI

Machine Learning

Generative AI

Cluster orchestration

Data evaluation

Tools

PyTorch

SLURM

Job description

We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

We are looking for people who mix strong technical ML skills, boundless curiosity and a constant desire to make better products. You’ll be part of Luma’s applied research team and work directly on mission critical work streams utilizing thousands of GPUs.

Responsibilities

• Implement cutting-edge generative AI features for inclusion in our product
• Work with Research and Product to fine-tune models, including dataset creation, model fine-tuning and evaluation
• Build tools & methods for evaluating our models and identify & implement solutions
• Train and run ML classifiers & embeddings to categorize by data quality and other attributes

Experience

• Strong generalist Python skills including significant experience with PyTorch.
• Recent experience in, and understanding of, visual AI, including diffusion models and transformers (note: can be from professional work, academic research experience, or hobby work with open source models like Stable Diffusion)
• Passion for experimenting with multi-modal generative AI, including familiarity with recent research work and ideas for implementing research into usable products.
• Good to have experience with cluster orchestration tools like SLURM
• Good to have experience with high performance large scale ML systems (>100 GPUs)

Compensation

• The pay range for this position in California is $175,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

$175,000 - $300,000 a year

The pay range for this position in California is $175,000 - $250,000 yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application is reviewed by real people.