Technical Recruiter at World Labs | San Francisco

World LabsSan Francisco

On-site Full-time $180K/yr - $225K/yr

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Experience Level

Experience

Qualifications

Key Qualifications: Proven experience in technical recruiting, preferably within the AI or technology sectors. Strong understanding of AI research, machine learning, and related fields. Excellent communication skills, both written and verbal, with a knack for engaging top talent. Ability to leverage data and metrics to inform recruiting strategies. Creative mindset with the ability to develop unique sourcing strategies.

About the job

About World Labs:

At World Labs, we are pioneering foundational world models that empower AI to perceive, generate, reason, and interact within the 3D environment. Our mission is to harness the full potential of AI through spatial intelligence, transforming how we see, reason, and create in both virtual and physical realms.

We envision that spatial intelligence will revolutionize storytelling, creativity, design, simulation, and immersive experiences. Our team is composed of exceptional individuals who share a passion for technology and innovation, spanning AI research, systems engineering, and product design. This collaborative spirit fosters a dynamic feedback loop between our groundbreaking research and the products we deliver to our users.

Role Overview

We are in search of a skilled Technical Recruiter / Research Talent Sourcer to join our team at World Labs. In this pivotal role, you will take charge of scaling our technical recruiting and sourcing systems, with a primary focus on attracting elite AI researchers and engineers from top-tier universities and industry labs.

This position is highly operational and systems-driven, requiring a blend of creativity, intuition, and a profound curiosity about the AI research ecosystem. You will collaborate closely with founders, research leaders, and hiring managers to align our ambitious research goals with exceptional talent acquisition.

What You Will Do:

Design and enhance our recruiting and sourcing systems, processes, and tools with a focus on precision, accuracy, and scalability.
Proactively identify and engage researchers and engineers from prestigious universities, AI labs, and leading tech companies in ML, robotics, computer vision, and related areas.
Maintain superior candidate data, pipelines, and documentation within ATS and internal tracking systems.
Devise innovative sourcing strategies leveraging publications, citations, open-source contributions, conference participation, academic networks, and referrals.
Work closely with research and engineering leaders to fully understand technical requirements, evolving skill sets, and long-term talent strategies.
Manage the candidate experience throughout the recruitment process, ensuring thoughtful, timely, and professional communication.
Evaluate recruiting metrics and data to pinpoint gaps, enhance efficiency, and guide hiring decisions.
Assist with interview coordination and hiring operations to ensure smooth and predictable processes.

About World Labs

World Labs is at the forefront of AI innovation, dedicated to developing foundational world models that enhance spatial intelligence. Our team is driven by a shared passion for technology and a commitment to creating transformative experiences across both virtual and physical domains.

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Research Scientist in Generative Modeling at World Labs | San Francisco

World Labs

Full-time|$250K/yr - $325K/yr|On-site|San Francisco

About World Labs: At World Labs, we create foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D environment. Our mission is to unlock the full potential of AI through spatial intelligence, transforming perception into action, reasoning into insight, and imagination into creation. We believe that spatial intellig…

Feb 18, 2026

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Technical Recruiter at World Labs | San Francisco

World Labs

Full-time|$180K/yr - $225K/yr|On-site|San Francisco

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Post-Training Research Scientist at Genmo | San Francisco

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Genmo is a pioneering research laboratory dedicated to advancing cutting-edge models for video generation, with the mission of unlocking the creative potential of Artificial General Intelligence (AGI). We invite you to be a part of our innovative team, where you can contribute to shaping the future of AI and expanding the horizons of video generation technology.Role Overview:We are on the lookout for a talented Research Scientist to join our dynamic team, specializing in alignment and post-training methodologies for large-scale video generation models. In this pivotal role, you will be instrumental in ensuring our diffusion-based video models consistently deliver high-quality, physically accurate, and safe outputs that align with human values and preferences.Key Responsibilities:Lead groundbreaking research initiatives in alignment and post-training strategies for video generation models, prioritizing enhanced quality, reliability, and alignment with human intent.Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models.Establish robust evaluation frameworks to assess model alignment, safety, and output quality.Create and optimize data collection pipelines for capturing human feedback and preferences.Conduct experiments to validate alignment techniques and their scalability.Collaborate with cross-functional teams to incorporate alignment enhancements into our production workflow.Stay abreast of the latest developments by reviewing academic literature in generative AI and alignment.Mentor junior researchers and promote a culture of responsible AI development.Partner closely with product teams to ensure that alignment methods enhance model capabilities.Qualifications:Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.Demonstrated excellence with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) focusing on reinforcement learning, alignment, or generative models.Extensive experience in implementing and optimizing large-scale training pipelines utilizing PyTorch.In-depth understanding of reinforcement learning techniques, especially RLHF.Proficient in distributed training systems and conducting large-scale experiments.Proven ability to design and implement robust evaluation strategies for models.

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AI Research Engineer at TRM Labs | San Francisco

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Full-time|On-site|San Francisco

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Senior Research Scientist at AI Safety | San Francisco

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Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

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Scientist II at Multiply Labs | San Francisco

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Full-time|On-site|San Francisco

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Nov 11, 2025

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Senior Research Manager at Listen Labs | San Francisco

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Full-time|On-site|San Francisco, CA

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Nov 6, 2025

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Junior Research Scientist at EliseAI | San Francisco

EliseAI

Full-time|$150K/yr - $230K/yr|On-site|San Francisco

About EliseAIAt EliseAI, we are revolutionizing the critical sectors of housing and healthcare. Everyone deserves a safe and affordable place to live, as well as access to top-quality healthcare. However, navigating these essentials can often prove to be a challenge. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower operational costs, and elevate the user experience for all involved.Housing: We streamline the apartment touring process, facilitate lease signings, enable maintenance requests, and keep renters connected with their property management, consolidating all housing needs into one convenient platform.Healthcare: Our platform simplifies appointment scheduling, streamlines the completion of intake forms, and enhances communication between patients and healthcare providers, allowing everyone to prioritize health over paperwork.With EliseAI, organizations can minimize manual tasks, enhance accessibility, and provide a cohesive experience across essential services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.About the RoleEliseAI is looking for exceptional individuals in Machine Learning and related fields to become part of our dynamic team. This role is ideal for candidates with a strong mathematical and quantitative background—such as mathematicians, theoretical physicists, or computer scientists—who are eager to tackle real-world challenges. As a Junior Research Scientist at EliseAI, you will join a fast-paced team of world-class researchers focused on pioneering work in machine learning and large language models, creating predictive models to enhance our AI capabilities, and much more. If you excel in a vibrant startup environment and wish to apply your academic expertise to innovative solutions, we invite you to reach out to us.Note: This position includes a 2-month trial period prior to full-time employment.Key ResponsibilitiesDesign and optimize machine learning architectures for advanced conversational interactions.Conduct thorough analyses to inform decision-making processes and enhance the effectiveness of our AI solutions.Collaborate with cross-functional teams to advance our AI research initiatives.

Apr 30, 2026

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Data Scientist at Koah Labs | San Francisco

Koah Labs

Full-time|On-site|San Francisco

About UsAt Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDK Development: iOS, Android, Web, Flutter, React NativeYour RoleCollaborate within the product engineering team to leverage data and causal reasoning for product decision-making.Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.Are You the Right Fit?You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.You have strong capabilities in mathematical and statistical modeling.You excel in communicating your findings to both technical and non-technical stakeholders.

Jan 22, 2026

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