Research Engineer, Notifcations at OpenAI

San Francisco, California, United States

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$325,000 – $590,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Hands-on experience building and deploying ranking, recommendation, or personalization systems at scale
Deep understanding of machine learning and its applications, with exposure to LLMs and their integration into product experiences
Experienced in experimentation, A/B testing, and analyzing impact on user behavior and business metrics
Comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues
Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions
Strong product intuition and can balance modeling sophistication with product impact
Strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition

Responsibilities

Design and build end-to-end ranking and recommendation systems for notifications, from modeling to evaluation and deployment
Apply and adapt LLMs to ranking problems, including prompt-based approaches and fine-tuning
Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams
Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems
Build robust offline and online evaluations to measure system improvements and user outcomes
Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems

Skills

Key technologies and capabilities for this role

Machine LearningRanking SystemsRecommendation SystemsLLMsFine-tuningPrompt EngineeringA/B TestingScalable Systems

Questions & Answers

Common questions about this position

What is the salary range for this Research Engineer position?

The salary range is $325K - $590K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees.

What skills are required for this Research Engineer role?

The role requires strong ML fundamentals, hands-on experience building and deploying ranking or recommendation systems at scale, exposure to LLMs, experience with experimentation and A/B testing, and comfort with large ML codebases.

What is the team like at OpenAI for this role?

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world, focusing on learning from deployment, distributing AI benefits responsibly, and making tools globally accessible.

What makes a strong candidate for this position?

Strong candidates have hands-on experience with ranking/recommendation systems at scale, deep ML knowledge with LLM exposure, experimentation skills including A/B testing, and thrive in dynamic environments thinking from first principles.

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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