Engineering Manager, ML Platform
SignifydSalary not specified
- Full Time
- Junior (1 to 2 years), Senior (5 to 8 years)
$310,000 – $450,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries
Requirements
Candidates should have at least 8 years of experience in the industry, with a minimum of 3 years in engineering management. A strong understanding of ML infrastructure and experience leading successful ML teams is essential. Familiarity with collaborating across cross-functional teams to ensure system reliability and scalability is required. Candidates should be comfortable with ambiguity and have a strong track record of delivery in collaborative environments. Strong coaching skills and the ability to attract competitive candidates are also important.
Responsibilities
The Engineering Manager will hire, grow, and manage a diverse engineering team while building tools and infrastructure to accelerate research deployment. They will set the strategy, create measurable goals, and ensure project timelines are met. The manager will collaborate with various stakeholders to address engineering needs and foster an inclusive team culture that encourages open communication and innovation.
Skills
ML infrastructure
Scalability
Reliability
Cross-functional collaboration
Engineering management
Roadmap creation
Team leadership
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