Senior ML Researcher, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$130,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess an ML engineer background with deep, hands-on experience in model evaluation or post-training, demonstrating a strong understanding of Large Language Models (LLMs) and multimodal models. Experience collaborating in cross-functional teams and contributing to open-source projects is beneficial, as is a publication record in top machine learning conferences.
Responsibilities
The Research Engineer will define and implement rigorous, reproducible methodologies for evaluating Lambda’s core model evaluation suite, collaborating with post-training researchers to refine and enhance models for both research and production. They will also partner with engineering and product teams to translate research insights into product features, ensuring the development of the world’s best deep learning cloud.
Skills
Large Language Models
LLMs
Model Evaluation
Post-Training Evaluation
Deep Learning
Reproducible Methodologies
Collaboration
Cross-Functional Teams
Open-Source Projects
Machine Learning Conferences
Lambda
Cloud-based GPU services for AI training
About Lambda
Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.
Key Metrics
San Jose, CaliforniaHeadquarters
2012Year Founded
$372.6MTotal Funding
DEBTCompany Stage
AI & Machine LearningIndustries
201-500Employees