OpenAI

TLM, Machine Learning, Integrity

San Francisco, California, United States

$300,000 – $450,000Compensation
Senior (5 to 8 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, CybersecurityIndustries

Requirements

Candidates should have extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains. Experience in training, fine-tuning, or distilling LLMs and traditional ML models to solve real-world business problems is essential. Strong emotional intelligence and the ability to connect with colleagues across diverse backgrounds are necessary, along with a commitment to building an inclusive, growth-oriented team environment. Candidates should also be comfortable embracing ambiguity and rapidly changing circumstances.

Responsibilities

The Engineering Manager will architect and build next-generation system protections, contributing through hands-on design, model training, and deployment strategies. They will lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy. The role involves collaborating closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive advancements. Additionally, they will establish robust evaluation frameworks and metrics to measure progress and identify areas for improvement, while supporting team members' professional growth through mentorship.

Skills

Machine Learning
LLMs
Model Training
Model Deployment
System Protections
Content Integrity
Web Safety
Evaluation Frameworks
Metrics

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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