[Remote] Protection Scientist Engineer, Intelligence and Investigations at OpenAI

San Francisco, California, United States

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$220,000 – $425,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

At least 4 years of experience doing technical analysis and detection, especially using SQL and Python
Experience in trust and safety and/or working closely with policy, enforcement, and engineering teams, with an investigative mindset
Experience with basic data engineering, such as building core tables or writing data pipelines in production
Experience with machine learning principles and execution
Basic software development skills (as the role writes productionised code)
Experience scaling and automating processes, especially with language models

Responsibilities

Scope and implement abuse monitoring requirements for new product launches
Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks
Prototype and mature into production systems of detection, review, and enforcement of abuse for major harms
Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to address them
Work with Engineering teams to ensure sufficient data and scaled tooling
Respond to and investigate critical escalations, especially those not caught by existing safety systems (includes on-call rotation and handling sensitive content)

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAbuse MonitoringInvestigationsPolicy DevelopmentPrototypingSystems Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Protection Scientist Engineer role?

The salary range is $220K - $425K.

Is this role remote or does it require office presence?

This role can be based in either our San Francisco, DC or NY office and includes participation in an on-call rotation.

What skills are required for this position?

Candidates need at least 4 years of experience doing technical analysis and detection using SQL and Python, experience in trust and safety or working with policy and engineering teams, basic data engineering such as building tables or data pipelines, and experience scaling processes with language models.

What is the team like at OpenAI for this role?

The Intelligence and Investigations team identifies and investigates misuses of OpenAI’s products, enabling partner teams to develop data-backed product policies and scaled safety mitigations, with cross-functional work involving product, policy, ops, investigative, and engineering teams.

What makes a strong candidate for this Protection Scientist Engineer role?

Strong candidates have an investigative mindset, experience in trust and safety, technical skills in SQL, Python, data engineering, and scaling processes with language models, plus the ability to work cross-functionally.

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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