OpenAI

Data Engineer, Safety Systems

San Francisco, California, United States

$245,000 – $310,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries

Requirements

Candidates should have at least 3 years of experience as a data engineer and 8 years of any software engineering experience, including data engineering. Proficiency in at least one programming language commonly used in Data Engineering, such as Python, Scala, or Java is required. Experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage systems like HDFS or S3 is necessary. Expertise with ETL schedulers such as Airflow, Dagster, or Prefect is also required. A solid understanding of Spark and the ability to write, debug, and optimize Spark code is essential.

Responsibilities

The Data Engineer will design, build, and manage data pipelines to ensure seamless integration of user event data into the data warehouse. They will develop canonical datasets to track key product metrics, including user growth, engagement, and revenue. The role involves collaborating with various teams such as Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Additionally, the engineer will implement robust systems for data ingestion and processing and participate in data architecture and engineering decisions, ensuring the security, integrity, and compliance of data according to industry and company standards.

Skills

Python
Scala
Java
Hadoop
Flink
HDFS
S3
Airflow
Dagster
Prefect
Spark
Data Security
Data Integrity

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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