In this role, you'll craft compelling narratives that make frontier AI research and safety work more accessible and meaningful to journalists, policymakers, the broader research and safety community, and the public.

The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about science and research, and the judgment to navigate nuanced, novel topics with care. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams.

This is a unique opportunity to shape how one of the world's leading AI labs communicates about the fundamental science of AI safety at a crucial moment for the field.

Responsibilities:

• Develop and execute communications strategies across our research portfolio, including interpretability, alignment, model welfare, and model training, turning dense technical work into stories that resonate with distinct audiences.

• Lead launch moments for major research publications, papers, and milestones, owning the narrative, media strategy, and cross-functional rollout.

• Create thought leadership opportunities for research executives to build their profiles as leading voices in AI safety through speaking engagements, bylines, conferences, and media.

• Build and maintain relationships with key science and technology journalists, research-focused outlets, and influencers in the AI and ML space.

• Serve as a trusted comms partner to research leads and senior stakeholders

Requirements:

• 8+ years of experience working in communications, ideally with significant time spent on science, research, or deep-tech storytelling.

• Strong record of building proactive communications campaigns around technical or scientific work that resonated with a diverse range of audiences.

• Excellent at translating complex technical concepts into compelling messaging.

• Media relations experience, including with reporters who cover tech, science, and research rather than just business or product news.

• Experience working directly with researchers, scientists, or engineers on a variety of topics

Nice to have:

• Experience in science communications, academic research communications, or deep-tech comms

• Experience building executive brand and thought leadership programs , positioning technical leaders as credible, visible voices in their field through speaking, media, and owned content strategies.

• Background working directly with research teams, academic labs, or R&D functions at a technology company

• Track record of launching research papers, scientific findings, or technical reports to press and public

• Experience communicating about emerging or philosophically novel topics where public understanding is limited and the risk of misinterpretation is high

• Familiarity with the AI safety and alignment landscape

Salary:

$255,000-$255,000 USD

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This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Responsibilities:

• Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
• Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
• Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
• Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
• Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
• Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
• Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
• Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably

Key Qualifications:

• 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
• Demonstrated ability to build and maintain highly organized recruiting systems and processes
• Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
• Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
• Experience sourcing passive, highly competitive candidates
• Excellent written and verbal communication skills
• Ability to operate effectively in fast-moving, ambiguous environments

Preferred Qualifications:

• Experience in one or more of the following is a strong plus:

  • Recruiting or sourcing for research-heavy organizations or frontier AI labs
  • Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
  • Experience hiring PhD-level researchers or highly specialized engineers
  • Background in startup environments or early-stage team building
  • Experience with advanced sourcing tools, automation, or custom workflows

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

Equal Opportunity & Pay Transparency

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

In accordance with California law, we disclose the following:

• Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)
• Total Compensation: Base salary plus equity awards and annual performance bonus
• Salary History: We do not request or consider prior compensation in making offers

Compliance:

• Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)
• Accommodations & inquiries: talent@worldlabs.ai

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Your work may involve brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space. You will prototype and develop these ideas with the rest of the team, contributing directly to Gemini Diffusion research. You will solve key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps. You will rigorously validate the theoretical and practical impact of our work at a large scale. You will work collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production. You will advance the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models. You will bring deep scientific expertise into our projects, sharing your insights and knowledge with other researchers and engineers.

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You'll be a subject matter expert on copyright, privacy, and related issues pertaining to data used to develop frontier AI models, while also counselling on compute infrastructure considerations including data localisation and cross-border data flows. You may also support our Alignment, Frontier Red-Teaming, Policy, and Societal Impacts teams to ensure safe, responsible AI development.

The ideal candidate will have experience navigating complex legal challenges globally in a fast-moving technical environment, as well as translating legal requirements into creative and practical solutions for pioneering AI research and development.

Responsibilities:

• Advise Research teams on permissible data usage and partner with them on data sourcing strategy, maintaining and evolving our data acquisition frameworks, and supporting Research and Data Operations requests
• Counsel the Compute team on relevant legal considerations including data localisation requirements, cross-border data transfers, privacy implications, and copyright considerations for compute infrastructure, partnering with internal subject matter experts as needed
• Monitor regulatory developments related to AI training data and compute operations, adapting internal policies and practices proactively to ensure compliance across jurisdictions
• Translate data and model development implications between research teams and Legal & Policy stakeholders, serving as a bridge between technical and legal functions
• Engage with academics, industry groups, and other stakeholders to develop norms and best practices around data governance for AI development
• Support Anthropic's Alignment and Frontier Red-Teaming teams to advance their research on AI safety and model vulnerabilities, including advising on vendor engagements, external collaborations, and data usage

You may be a good fit if you have:

• A JD and active membership in at least one U.S. state bar (California preferred)
• At least 8 years of relevant legal experience, with meaningful experience advising on data localisation and cross-border data transfer frameworks, copyright, privacy, data, and related issues for technology companies or AI/ML products (in-house experience preferred)
• A creative, practical problem solver attitude with a passion and capacity for translating and applying legal requirements to technical concepts related to model development. You understand the importance of enabling innovation while developing responsibly and mitigating risks
• Experience advising on legal issues for AI products or services and academic research, with knowledge of the machine learning development lifecycle
• Excellent written communication skills, with the ability to draft clear policies, whitepapers, and other content. You enjoy engaging with stakeholders to evangelise best practices
• An understanding of how to achieve the right balance between the organisation's mission and goals, knowing when to be flexible and when to draw a hard line
• An enjoyment of wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory
• A 'doer' mentality and are willing to roll up your sleeves to get things done. You're a team player who doesn't hesitate to jump in to solve difficult problems
• Exceptional communication and analytical skills, technical fluency, and ability to navigate ambiguous and uncharted legal territory
• A growth mindset and epistemic humility with a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations. Commitment to building trustworthy, ethical AI systems

Strong candidates may have:

• In-house or similar experience at a global law firm
• Experience counselling on compute infrastructure or cloud services legal issues
• Experience in a tech company or other fast-paced environment

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$265,000 - $320,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification in the job description. We are looking for talented individuals who are passionate about AI and want to join a team that is working to make a positive impact on the world.

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We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.

This role blends research and engineering, requiring you to both develop novel approaches and realise them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.

You may be a good fit if you:

• Have experience in cybersecurity research.
• Have experience with machine learning.
• Have strong software engineering skills.
• Can balance research exploration with engineering implementation.
• Are passionate about AI's potential and committed to developing safe and beneficial systems.

Strong candidates may also have:

• Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
• Experience participating in or building CTF competitions and cyber ranges.
• Academic research experience in cybersecurity.
• Familiarity with RL techniques and environments.
• Familiarity with LLM training methodologies.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lot more.

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Location

San Francisco

Employment Type

Full time

Department

Technical Program Management

Compensation

• $207K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Trustworthy AI team is investing in external assurances to build out a robust safety ecosystem. This includes enabling third party assessments for OpenAI’s flagship launches, piloting new assurance mechanisms like safety compliance reviews, and incorporating independent expert input as evidence for critical safety decisions. This role requires a blend of partnership management, cross functional coordination, an understanding of AI safety research and evaluations, and strong communication skills to synthesize findings and translate into decision relevant actions.

About the Role

As a Technical Program Manager on the Trustworthy AI team, you will drive interdisciplinary programs in collaboration with external partners. This includes strategizing and executing on the vision for strategic research partnerships, and growing and managing our external assurance programs which include third party assessments and enabling independent academic research.

We’re looking for people who have experience running strategic academic collaborations and program management with technical and research teams. You will work with researchers/engineers both internal to OpenAI and as a part of the external community to initiate new projects, set ambitious goals and milestones, and drive execution across multiple teams.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Create strategic research partnerships

• Proactively identify new partners for external assurances such as high quality third party evaluators and academic research labs

• Create feedback mechanisms for translating external research into actionable product and policy recommendations

• Communicate progress, status and risk effectively to stakeholders internally and externally

• Drive tool and process improvements to improve efficiency

You might thrive in this role if you:

• Have an understanding of AI evaluations and measurements and ability to engage with technical teams on AI evaluations

• Have experience working with and managing stakeholders external to an organization, especially academic researchers

• Can create executive summaries and synthesis of technical and social science research

• Have worked cross functionally across product, research, and engineering teams

• Have an understanding and interest in frontier AI safety and policy

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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