OpenAI

Research Engineer, Retrieval & Search, Applied Engineering

San Francisco, California, United States

$310,000 – $550,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Consumer SoftwareIndustries

Requirements

Candidates should have extensive prior experience building and maintaining production machine learning systems. Experience working with vector databases, search indices, or other data stores for search and retrieval use cases is required. Familiarity with building and iterating on internet-scale search systems is essential, along with a proactive approach to owning problems end-to-end and the ability to adapt quickly in a dynamic environment with competing priorities.

Responsibilities

The Research Engineer will work on retrieval and search algorithms in collaboration with the research team, focusing on document search, enterprise search, knowledge retrieval, and web-scale search. They will deploy search methodologies into production for the API and ChatGPT, explore novel research topics that could inform product strategy, and partner with various stakeholders to bring new features and research capabilities to life. Additionally, they will contribute to creating a diverse and inclusive culture within the team.

Skills

Machine Learning
Vector Databases
Search Indices
Data Stores
Internet-Scale Search
Retrieval Algorithms
Search Methodologies

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.

Key Metrics

San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health insurance
Dental and vision insurance
Flexible spending account for healthcare and dependent care
Mental healthcare service
Fertility treatment coverage
401(k) with generous matching
20-week paid parental leave
Life insurance (complimentary)
AD&D insurance (complimentary)
Short-term/long-term disability insurance (complimentary)
Optional buy-up life insurance
Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
Annual learning & development stipend
Regular team happy hours and outings
Daily catered lunch and dinner
Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.
Customizable ChatGPT personas could lead to privacy and ethical concerns.
Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
OpenAI's AI models, like Sora, offer unique video creation from text descriptions.
OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.
Customizable ChatGPT personas enhance user engagement and satisfaction.
OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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