Data Infrastructure Engineer at OpenAI

San Francisco, California, United States

OpenAI Logo
$200,000 – $385,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Apache SparkClickhousePythonTerraformKafkaAzure EventHubKubernetesDistributed StorageDistributed ComputeData OrchestrationVector DBs

Questions & Answers

Common questions about this position

What is the salary range for the Data Infrastructure Engineer position?

The salary range is $200K - $385K.

Is this role remote or hybrid, and what are the office requirements?

This is a hybrid role requiring 3 days in office per week.

What skills and experience are required for this role?

Candidates need 4+ years in data infrastructure engineering or infrastructure engineering with strong data interest, experience scaling Kubernetes services, familiarity with OLAP systems, debugging Kafka consumer lag, and diagnosing distributed kv store failures. Additional skills include comfort with ambiguity, rapid change, a desire to learn, and clear communication of learnings.

What are OpenAI's core values and mission?

OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity, with values centered on creating AI with safety and human needs at its core while valuing diverse perspectives.

What makes a strong candidate for this Data Infrastructure Engineer role?

Strong candidates have 4+ years in data or infrastructure engineering with data interest, hands-on experience scaling Kubernetes, working with OLAP systems, debugging Kafka, and diagnosing kv store issues, plus comfort with ambiguity, eagerness to learn, and clear knowledge-sharing skills.

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

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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