AI Research Engineer

Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manag…

About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that can interpret videos with human-like understanding. Our groundbreaking models elevate the standards in video-language modeling, enabling intuitive interactions and comprehensive analyses of diverse media formats.With over $110 million secured in Seed and Series A funding, we are supported by leading venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are based in San Francisco, with a significant presence in Seoul, reflecting our dedication to global innovation.Our collaboration with NVIDIA and AWS grants us access to cutting-edge chips, including B300s, empowering us to expand the possibilities in video AI.We cherish the diverse journeys of our team members, believing that our varied cultural, educational, and life experiences are key to challenging the status quo. We seek passionate individuals eager to impact the technology landscape and help us redefine video understanding and multimodal AI.Team OverviewThe Embedding & Search team is integral to TwelveLabs' video understanding initiatives. We craft unified embedding spaces that encompass video, audio, text, and other modalities, and develop retrieval systems designed to deliver precise results that align with user intent across extensive video catalogs.Our research encompasses a wide array of challenges including multimodal representation learning via contrastive and probabilistic methods, temporal video understanding—focusing on hierarchical segmentation and boundary detection—neural ranking architectures for multi-stage retrieval, and modeling user behavior to gain insights into how users search for and engage with video content. We prioritize both algorithmic advancements that set new benchmarks and human-centric insights that enhance the utility of our systems.Our research team benefits from access to state-of-the-art chips like NVIDIA B300s, which accelerate our research-to-production transitions.

Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers such as Fei-Fei Li and Silvio Savarese. While our headquarters is in San Francisco, our significant presence in Seoul highlights our dedication to global innovation.Our strategic partnerships with NVIDIA and AWS provide us with access to top-tier hardware, including the B300s, which empower our advancement in video AI capabilities.We embrace the unique journeys of every individual and believe that our diverse backgrounds drive innovation. We seek passionate individuals who resonate with our mission and are eager to make impactful contributions as we redefine technology and transform the world of video understanding and multimodal AI.About the Video Cognition System TeamOur team is dedicated to creating the first-ever video cognition system capable of processing extensive video libraries into a structured, queryable Video Memory & Cortex for vertical LLM agents.We are addressing fundamental questions surrounding machine cognition, focusing on perception, memory, reasoning, and attention. Our goal is to design innovative memory structures that exceed traditional context windows and build a reasoning cortex for comprehensive video analysis.Our research endeavors cover corpus-level reasoning, knowledge extraction, indexing architectures, and multi-video understanding, requiring a synergistic collaboration between research and engineering to create systems that are both scientifically rigorous and impactful.

About UsAt Twelve Labs, we are on the hunt for talented individuals who are eager to shape the global standard for video understanding AI!We are developing cutting-edge AI models specifically tailored for video content, enabling advanced functionalities such as search, analysis, summarization, and insights generation from vast video datasets.Our technology is utilized by the largest sports leagues to swiftly and accurately identify highlights from extensive game footage, enhancing the personalized viewing experience. In South Korea, integrated control centers leverage our models to effectively analyze CCTV footage for rapid crisis response, while major global broadcasters and studios use our technology to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have raised over $110 million from renowned venture capital firms and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model is uniquely offered through Amazon Bedrock in South Korea, and we are committed to creating innovative products alongside exceptional colleagues while growing with our global clientele.At Twelve Labs, we operate based on core values that include:Honesty and introspection towards oneself and the team.Resilience and humility in the face of failure and feedback.A commitment to continuous learning and elevating team capabilities together.If you enjoy solving challenging problems and growing alongside your team, this is the opportunity for you at Twelve Labs!Team OverviewYou will join the team responsible for the research and development of Marengo, our multimodal embedding model. This innovative model integrates various modalities, including video, audio, and text, into a unified embedding space.The team tackles diverse research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We oversee the entire model development process, from building large-scale learning data pipelines to designing model architectures, optimizing distributed learning, and creating evaluation frameworks. With access to top-tier GPU resources such as the NVIDIA B300, we can rapidly conduct large-scale experiments.In an environment with a short gap between research and production, we closely collaborate with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of clients worldwide.Role OverviewAs the ML Research Engineering Manager on the Marengo team, you will lead and develop the research engineering group responsible for Twelve Labs' multimodal embedding models. You will own the technical roadmap for the team and support the growth of its engineers.This is a player-coach role where you will manage a team of ML research engineers focused on model architecture, training infrastructure, and data pipelines while remaining technically engaged enough to make sound architectural decisions and assess research directions. We seek someone who has experience building and deploying production ML systems and is eager to amplify their impact by empowering their team.

Key ResponsibilitiesManage and operate the testing infrastructure for our software and hardware solutions.Conduct operations and maintenance on bare-metal equipment utilized for evaluations.Support the evaluation infrastructure to ensure successful product validation.

Key ResponsibilitiesDevise and execute comprehensive verification strategies for block/IP/SoC, establishing test benches to facilitate effective verification at various levels.Create and implement functional testing protocols based on the established verification test plans.Lead the design verification process to successful completion, adhering to defined metrics for functional and code coverage.Analyze, troubleshoot, and rectify functional discrepancies in the design, working closely with the design team.Engage in collaboration with cross-disciplinary teams, including Design, Modeling, Emulation, and Silicon Validation, to ensure superior design quality.

Key ResponsibilitiesIntegrate and validate IP blocks within the System on Chip (SoC) architecture while assisting in the physical implementation process.Formulate specifications, architecture, and operational scenarios at the SoC level.Comprehend standard interface specifications (e.g., PCIe) and chip operational scenarios to effectively configure integrated IP blocks.Conduct performance analyses through chip-level simulations focusing on bus and memory bandwidth, alongside FPGA prototyping.

Key ResponsibilitiesDesign, develop, and sustain Linux PCIe device drivers and kernel modules to optimize system performance.Enhance PCIe subsystem functionality, focusing on DMA, IOMMU, interrupts, and BAR mapping.Create user-space libraries and APIs that facilitate high-speed data transfers.Collaborate with hardware and firmware teams to construct comprehensive PCIe I/O pipelines.Devise effective memory management techniques and implement zero-copy data transfer mechanisms.

About the RoleWe are seeking a dedicated Security Engineer to report directly to the CTO. This role is instrumental in establishing the company's security framework and implementing a Zero Trust architecture across our organization.You will be responsible for developing security policies, configuring systems, managing accounts, controlling access, ensuring cloud security, and conducting penetration testing.Key ResponsibilitiesEstablish and execute an enterprise security strategy and policies based on Zero Trust principles.Build and operate identity and access management systems (SSO, IAM, RBAC, etc.).Design and configure security architecture for SaaS and cloud infrastructure (AWS, GCP, etc.).Diagnose and enhance security vulnerabilities within internal systems and services.Collaborate with development and infrastructure teams to integrate security practices (code reviews, CI/CD security, etc.).Set up and manage incident response systems and monitoring environments.

Key ResponsibilitiesDesign and define architecture/microarchitecture specifications while taking full ownership of one or more chip modules, implementing them in RTL.Achieve convergence of functionality and Power, Performance, Area (PPA) within the design.Develop and refine designs in RTL (System Verilog or other HDLs), iterating to optimize power consumption, timing, and area efficiency.Construct straightforward test benches and troubleshoot intricate logic simulations.Minimum QualificationsA Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience.A minimum of 2 years of relevant industry experience in chip design, particularly in RTL design (architecture and implementation), logic synthesis, verification, and timing closure.Proficient in implementing microprocessor simulators using C++ or other high-level programming languages.Experience in modeling the PPA of designs.Familiarity with scripting languages for automating simulation and analysis processes.Preferred QualificationsA Ph.D. in Electrical Engineering, Computer Science, or related field is advantageous.Experience in accelerator design is a plus.Knowledge of highly pipelined designs and multiple-clock-domain designs is preferred.Understanding of machine learning algorithms, compiler technologies, processor design, accelerators, and memory hierarchies.Familiarity with Chisel or RISC-V architectures is an advantage.Contact InformationFor inquiries, please reach out to: recruit@furiosa.ai

Key ResponsibilitiesDevelop and maintain test automation solutions to validate NPU hardware and associated software stacks.Enhance efficiency in large-scale evaluation tasks through the maintenance of automation scripts and frameworks.Design solutions for structuring, analyzing, and visualizing evaluation data.Support the operation of testing environments based on CI/CD methodologies.

Key ResponsibilitiesAssess the Power, Performance, and Area (PPA) metrics of our designs during the chip architecture planning phase.Conduct synthesis, perform logic equivalence checking, develop SDC and UPF, and execute static timing analysis.Collaborate effectively with design houses to ensure optimal project outcomes.

About UsJoin us in setting global standards for AI in video understanding!At Twelve Labs, we create world-class AI models specialized in processing vast video datasets to provide advanced features such as search, analysis, summarization, and insights generation.Our models are utilized in the world's largest sports leagues to swiftly and accurately highlight key moments, enhancing the viewing experience. In domestic integrated control centers, our technology assists in efficiently navigating CCTV footage for rapid crisis response, while major broadcasters and studios globally rely on our models to produce content for billions of viewers.Twelve Labs is a Deep Tech startup with offices in San Francisco and Seoul, recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We've secured over $110 million in investments from leading VCs and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, developed in Korea. We are dedicated to creating exceptional products alongside outstanding colleagues and growing with our global clientele.Our core values include:A reflective and honest attitude towards oneself and the team.Perseverance and humility in the face of failure and feedback.A commitment to continuous learning and team empowerment.If you enjoy solving challenging problems and growing through the process, the opportunity awaits you at Twelve Labs.About the TeamYou will be part of the Marengo team, responsible for the research and development of our multimodal embedding models. We integrate various modalities such as video, audio, and text into a singular embedding space.Our work encompasses a variety of research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We manage the entire model development lifecycle, from constructing large-scale training data pipelines to designing model architectures, optimizing distributed training, and developing evaluation systems. With access to top-tier GPU resources like the NVIDIA B300, we efficiently conduct large-scale experiments.In a fast-paced environment with a short research-to-production gap, we collaborate closely with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of customers worldwide.About the RoleAs a Senior ML Research Engineer on the Marengo team, you will spearhead the research and development of Twelve Labs' multimodal embedding models, focusing on data strategy, training pipeline optimization, and model architecture experimentation and evaluation.This is a research-intensive engineering role lying at the intersection of multimodal representation learning, large-scale distributed training, and data engineering. We seek a proficient engineer-researcher capable of tackling well-defined research problems with moderate ambiguity, designing rigorous experiments, and delivering reproducible results ready for production deployment.

About the TeamThe AI Success Engineer team at OpenAI collaborates with some of the world's most forward-thinking organizations to convert cutting-edge artificial intelligence into significant business outcomes. We support customers from initial deployment to large-scale enterprise integration, encompassing technical integration, workflow transformation, and ongoing product delivery.Our clientele includes rapidly growing digital natives as well as leading global enterprises, government bodies, and educational institutions. Each engagement represents a chance to influence the way AI reshapes work, productivity, and innovation. This pivotal role is integral to that mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for a select group of OpenAI's most esteemed clients. Your mission is to enhance account health and adoption, ensure technical readiness, uncover new use cases, and deliver measurable value through OpenAI's platform.This role uniquely combines technical leadership, program management, customer advisory, and product influence. You'll collaborate closely with client teams, analyze workflows, lead configuration and enablement, oversee deployment strategies, and guide clients toward impactful use cases that highlight the full potential of our platform.You will engage with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every touchpoint. Success in this position means accelerating adoption, deepening customer engagement, paving the way for strategic use cases that reach production, and helping our clients showcase tangible business value.

Key ResponsibilitiesCraft and implement a robust end-to-end security architecture tailored for SoC-based products.Develop features for Secure Boot and Anti-rollback mechanisms.Manage Key Provisioning alongside Hardware Root of Trust.Oversee Secure Lifecycle State management (LCS) for firmware, keys, and devices.Design and integrate security modules to enhance firmware and system-level defenses.Conduct thorough vulnerability assessments, attack surface evaluations, and implement memory protection hardening strategies.Integrate, validate, and optimize hardware cryptographic engines including AES/GCM engines, TRNG, PKA, RSA, PQC, and hash accelerators.Establish secure firmware update and rollback protocols along with comprehensive product lifecycle controls.QualificationsDeep understanding of embedded security principles, including Secure Boot, key management, and cryptography.Demonstrated experience with TLS, X.509, ECC, AES, and various cryptographic or security libraries.Proficient in C/C++ or Rust for developing secure system software.Experience identifying and analyzing security vulnerabilities in SoC/FPGA-based systems.Practical experience with hardware cryptographic engines and security IP blocks (e.g., AES/GCM, SHA accelerators, TRNG/DRBG, PKA).Solid understanding of firmware and key lifecycle management.Preferred QualificationsFamiliarity with TPM, HSM, TrustZone, OP-TEE, or related hardware security architectures.Experience in implementing secure firmware signing, provisioning, and deployment pipelines.Background in validating cryptographic engines under standards such as FIPS 140-3, NIST CMVP.Security engineering experience specifically for AI accelerators, networking chips, or SoCs.Contribute to development practices aligned with standards such as FIPS, PSA Certified, CAVP, and CMVP.

Join our dynamic team at Toss as an AI Engineer in the AI Operation Center! You will be part of an innovative team dedicated to building a real-time voice conversation system that interacts with customers, moving beyond traditional text chatbots to actual phone calls. Our AI must navigate various conversational scenarios, including interruptions, context shifts, and silences, to maintain a natural dialogue.This position will expose you to cutting-edge technologies such as LLM, Multi-Agent systems, Automatic Prompt Optimization (APO), and LLM-as-Judge, applied in the challenging environment of customer interactions. You'll be part of a team that doesn’t just stop at reading research papers but actively creates solutions based on real call data.

Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care. Team DynamicsYou will collaborate with a dynamic team of AI research scientists and engineers within our Oncology AI Research Department, passionately pursuing meaningful applied research that impacts lives.Our diverse team brings together various cultural backgrounds and expertise, fostering a culture of sharing and collaboration, whether through engineering, model-centric, or data-centric AI initiatives. Position HighlightsYour contributions will directly influence our mission to enhance cancer treatment personalization, with our world-class software utilized in hospitals and pharmaceutical companies globally.Engage in cutting-edge projects encompassing object detection, semantic segmentation, self-supervised learning, and more, leveraging extensive datasets and cloud computing capabilities.Participate in community engagement through publications, blog posts, and public events like machine learning challenges.Grow both personally and professionally by working on diverse projects and collaborating with a talented, multidisciplinary team. Key ResponsibilitiesDesign, propose, and implement advanced AI models that tackle real-world challenges in cancer diagnostics and treatment planning.

Lunit, based in Seoul, is a healthcare AI company dedicated to improving cancer diagnosis and treatment. The team creates AI tools that help clinicians make precise diagnoses and predict how patients will respond to therapies, with the goal of advancing personalized care. This role is open to candidates living in Korea who have business-level Korean proficiency. Team Overview The Biomedical Research Team (BMRS) is part of Lunit's Oncology Group. BMRS connects AI research with clinical practice by running exploratory and data-driven studies that test AI models in real-world settings. The team works closely with clinicians, product development, MLOps, and platform engineering to turn research into products that support patient care. Role Overview The Biomedical Research Scientist - Precision Oncology will focus on developing predictive models for Lunit's AI biomarker platform using patient tissue slide images. The position involves building metrics from digital pathology images, validating their clinical relevance, and contributing to translational research. Collaboration with clinicians, engineers, and product teams is central to ensuring research findings inform clinical decisions. Key Responsibilities Design, develop, implement, and evaluate image-based companion diagnostics biomarker models for personalized treatment decisions. Translate biological and clinical requirements into scalable machine learning and AI solutions in partnership with clinicians, engineers, and product teams. Lead experimental design and analysis, including idea generation, documentation, and reporting. Conduct clinical research to ensure validity and reproducibility of results. Present and publish research findings through abstracts, papers, and conferences. Required Qualifications Bachelor's degree in a relevant field with over 3 years of experience, or a Master's degree or higher in Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or a related area. Experience developing machine learning models and deploying them in production or research environments. Background in data integration, machine learning applications, and statistical analysis (including statistical tests and evaluation metrics). Proficiency in Python and machine learning frameworks, with the ability to develop data pipelines. Strong communication skills for effective collaboration across teams. Preferred Qualifications PhD in a related field (Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or similar). Research achievements in deep learning, machine learning, or applied statistical learning in biology, such as publications, open-source contributions, or product launches. Expertise in cancer genomics, spatial genomics, or multi-omics data analysis. Experience in cancer biology, immunology, digital pathology, or medical image analysis. At least 2 years of experience in computer vision or machine learning, or relevant research experience. Background in clinical research and applying complex machine learning techniques systematically. Experience integrating and analyzing large-scale or high-dimensional medical data. Strong problem-solving, planning, and project management skills. Application Materials Resume (any format) Portfolio (optional): Should outline objectives, execution details, personal contributions, and outcomes of research and development projects. Interview Process Document Screening Competency-based Interview 1 Competency-based Interview 2 Culture-fit Interview Onboarding Reference checks may be conducted after the final interview if needed. Working Conditions Employment type: Full-time Work location: Lunit Headquarters, 5th floor, Case Square Gangnam, 374 Gangnam-daero, Gangnam-gu, Seoul Salary: Determined after the interview Additional Information Providing false information in application documents may result in disqualification, even after hiring confirmation.

Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, enhancing our capability to interact with and analyze diverse media formats.Backed by over $110 million in Seed and Series A funding from renowned venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as influential AI pioneers like Fei-Fei Li and Alexandr Wang, we are located in San Francisco and have a significant presence in APAC, particularly in Seoul, reinforcing our mission to drive global innovation.Our collaborations with NVIDIA and AWS provide access to state-of-the-art chips, such as the B300s, empowering us to push the frontiers of video AI.We embrace the individuality of each team member's journey, recognizing that our diverse cultural, educational, and life experiences fuel our ability to challenge the status quo. We seek passionate individuals aligned with our mission to make a meaningful impact as we advance technology to reshape the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is integral to TwelveLabs’ video understanding initiatives, leading the development of Pegasus, our Video Analysis product. Our aim is to create multimodal video analysis systems that excel in high instruction-following capabilities and deliver complex, hierarchically structured outputs. We prioritize the delivery of products that provide real-world value, collaborating in a goal-driven, cross-functional environment that unites ML researchers and engineers.Our responsibilities span a wide array of challenges, including large-scale distributed training of multi-modal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing training data for performance improvements.Our team leverages advanced chips, including NVIDIA B300s, to expedite our research-to-production transition, ensuring swift advancements in video analysis systems.

About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we are committed to the safe and efficient deployment of cutting-edge Generative AI applications for developers and enterprises. As trusted advisors and thought leaders, we collaborate closely with customers to develop a robust backlog of GenAI use cases tailored to their industries, guiding them through to production with expert technical support. In your role as an AI Deployment Engineer, you will empower major corporations to revolutionize their operations through transformative solutions in customer service, automated content generation, and pioneering applications leveraging our state-of-the-art models.About the PositionWe seek a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive genuine business value from Generative AI. You will collaborate with senior customer executives to craft a strategic GenAI vision and pinpoint the most impactful applications. Additionally, you will work hand-in-hand with their technical teams to transition from prototype to full-scale production. By adopting a comprehensive approach to their requirements, you will design an enterprise architecture utilizing ChatGPT, the OpenAI API, and other services to maximize value for our customers. This position requires close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams, and reports directly to the Head of Technical Success in the APAC region.This role is based in Seoul, South Korea, with a hybrid work model of three days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Become deeply integrated with our key platform customers as their technical lead, providing guidance and support to develop innovative applications utilizing our API.Collaborate with senior stakeholders to identify optimal applications of GenAI within their sector and establish a thorough backlog to support their AI initiatives.Actively engage to expedite customer time-to-value by creating hands-on prototypes and delivering strategic insights.Build and nurture relationships with customer leadership and stakeholders to facilitate the successful implementation and scaling of their applications.Contribute to our open-source resources for developers and enterprises.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing resources in our internal and external repositories.Assess, synthesize, and present high-impact strategies that align with customer goals.