Staff Software Engineer, ML Platform
EvolutionIQSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$440,000 – $530,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have 3+ years of experience in engineering management and 7+ years as an individual contributor working with high scale distributed systems and ML systems. Experience with ML systems, particularly high scale distributed training or inference for modern LLMs, is required, along with familiarity with the latest AI research and a working knowledge of efficient implementations. A commitment to diversity, equity, and inclusion, along with a proven track record of building inclusive teams, is essential.
Responsibilities
The Platform ML Engineering Manager will lead critical work on model definition and efficient distributed execution within the internal training stack. They will reduce the time it takes to try new architecture ideas for training models and increase the robustness of model code. The manager will collaborate closely with researchers and systems engineers to maximize the benefits of the training stack, ensure SOTA throughput for important research models, hire world-class AI systems engineers, coordinate the training needs of research teams, and foster a diverse and inclusive culture.
Skills
Distributed Systems
ML Systems
Large Language Models (LLMs)
Model Definition
Model Execution
AI Research
Engineering Management
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees