LLM Algorithm Tech Lead – Applied Large Language Model Systems

About Plaud Inc.Plaud is at the forefront of developing the most reliable AI work companion designed for professionals, enhancing productivity through innovative note-taking solutions. Since our inception in 2023, we have garnered the trust of over 1,500,000 users globally. Our mission is to enhance human intelligence by creating state-of-the-art intelligence infrastructure and interfaces that effectively capture, extract, and utilize information from verbal, auditory, visual, and cognitive inputs.Headquartered in San Francisco, Plaud Inc. is a Delaware-incorporated company that is redefining human-AI collaboration through a unique synergy of hardware and software solutions. We prioritize the highest standards of data security and privacy, being compliant with SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031.To discover more about our offerings, please visit https://www.Plaud.ai and connect with us on Instagram, X, Facebook, LinkedIn, and YouTube.

Join Our Innovative TeamTavus is a forward-thinking research laboratory at the forefront of human-computer interaction. We are dedicated to creating AI Humans, a revolutionary interface that bridges the gap between individuals and machines, eliminating the friction commonly encountered in today's technology. Our advanced human simulation models empower machines to see, hear, respond, and even exhibit lifelike appearances, facilitating genuine, face-to-face interactions. By merging human emotional intelligence with machine efficiency, our AI Humans serve as reliable, empathetic agents available around the clock, in any language, tailored to user needs.Picture a therapist within reach for everyone, a personal trainer that fits seamlessly into your schedule, or a comprehensive team of medical assistants providing focused attention to every patient. With Tavus, individuals and organizations can develop AI Humans to foster connection, understanding, and responsiveness on a grand scale.As a Series A startup, we are backed by prestigious investors such as Sequoia Capital, Y Combinator, and Scale Venture Partners. Join us in crafting a future where humans and machines communicate effortlessly.Your RoleWe seek an AI Researcher to join our dynamic AI team and explore the frontiers of large language modeling within conversational AI. If you excel in fast-paced startup settings, enjoy experimenting with innovative ideas, and are eager to see your contributions realized in production, you will thrive here.Your Mission Conduct in-depth research on large language modeling and its adaptation for Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Create methodologies to effectively model both verbal and non-verbal communication, dynamically adjusting avatar behaviors in real-time.Experiment with fine-tuning, adaptation, and conditioning techniques to enhance the expressiveness, control, and task specificity of LLMs.Collaborate with the Applied ML team to transition research from prototype to full-scale deployment.Stay informed on the latest advancements and contribute to defining the next breakthroughs.

Scale AI is on the lookout for an exceptional Staff/Senior Staff Machine Learning Engineer to serve as the Tech Lead (TL) for our innovative deep research agents tailored for enterprise applications. In this pivotal role, you will spearhead the technical vision and oversight for Deep Research Agent Development, converting state-of-the-art research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into powerful, scalable production systems that significantly improve enterprise operations and analytics.The successful candidate will excel in a dynamic environment, possess a fervor for intricate technical challenges, and demonstrate an aptitude for mentorship, while adeptly establishing a long-term technical strategy in a crucial domain without losing focus on hands-on execution.

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

As a premier data and evaluation partner for cutting-edge AI firms, Scale AI is committed to enhancing the evaluation and benchmarking of large language models (LLMs). We are developing industry-leading LLM evaluations that set new benchmarks for model performance assessment. Our mission is to create rigorous, scalable, and equitable evaluation methodologies that propel the next evolution of AI capabilities.Our Research teams collaborate with top AI laboratories to provide high-quality data and expedite advancements in Generative AI research. As the Tech Lead/Manager of the LLM Evaluations Research team, you will guide a skilled team of research scientists and engineers dedicated to crafting and applying innovative evaluation methodologies, metrics, and benchmarks that assess the strengths and weaknesses of our advanced LLMs. This pivotal role involves designing and executing a strategic roadmap that establishes best practices in data-driven AI development, thus accelerating the development of the next generation of generative AI models in collaboration with leading foundational model labs.

Who Are We?Postman is the premier API platform, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We are dedicated to fostering an API-first world by simplifying the entire API lifecycle and enhancing collaboration, enabling users to create superior APIs swiftly.Headquartered in San Francisco, we have offices in major cities like Boston, New York, Austin, Tokyo, London, and Bangalore, where our journey began. As a privately held entity, we have garnered support from notable investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or connect with us on X via @getpostman.P.S: We highly recommend exploring The "API-First World" graphic novel to gain insights into our vision at Postman.The OpportunityAs an Applied Scientist focusing on Small Language Models and AI Training, you will spearhead research and development initiatives aimed at crafting efficient, high-performance language models for real-world applications. Collaborating closely with research, engineering, and product teams, you will enhance model training techniques, optimize architectures, and scale AI solutions. Your contributions will play a crucial role in creating AI systems that are safe, interpretable, and impactful across various applications.

Role Overview Paraform is hiring an Applied AI Engineer in San Francisco. This role focuses on building and deploying AI systems that directly serve real users. The ideal candidate brings 2-5 years of experience, a strong grasp of modern LLM-based technologies, and a track record of turning advanced models into reliable product features. Success in this role depends on sound product sense and the ability to weigh trade-offs between LLM and traditional machine learning approaches. Experience with LLM-powered applications, retrieval systems, agentic workflows, or automation is valuable. Familiarity with classic ML techniques, such as ranking, recommendation, or classification, will help in designing hybrid systems that balance performance, cost, and reliability. What You Will Do Design and build AI systems to improve matchmaking, ranking, and automation in the Paraform marketplace. Develop LLM-driven features, including retrieval pipelines and agentic workflows, to streamline recruiter and company interactions. Own systems end-to-end: from data pipelines and model design to deployment, monitoring, and iteration in production. Work closely with product managers, ML engineers, and full-stack teams to deliver AI capabilities that shape marketplace outcomes. Create evaluation frameworks to measure real-world performance, reliability, and business impact, not just offline metrics. Set best practices for building and maintaining production AI systems, balancing model quality, cost, latency, and maintainability. Advance the integration of AI into product experiences across the platform. What We Look For 2-5 years of experience at an AI-focused startup (Series A through D). Background working on products with a broad user base, beyond single-enterprise deployments. Proficient in Python and Typescript. Experience developing agentic systems that drive measurable business or user outcomes. Comfort with ambiguity and building in 0 to 1 environments. Ability to communicate technical trade-offs clearly to non-technical stakeholders.

Join Whatnot as an LLM Platform Engineer where you'll be at the forefront of developing and optimizing cutting-edge language models. In this role, you will collaborate with a dynamic team of engineers and data scientists to enhance our machine learning infrastructure and algorithms. Your contributions will directly impact the efficiency and effectiveness of our language understanding capabilities.

About UsAt Software Apps Inc., we are pioneering the field of natural-language computing with our flagship product, Sky, designed specifically for Mac users. Our team is driven by a shared commitment to innovation, collaboration, and excellence. To learn more about our mission and values, visit www.software.inc/jobs.The RoleWe are seeking a talented LLM Engineer to be a vital contributor to our product development. In this role, you will design and optimize our data pipelines, refine our system architecture, and implement evaluation mechanisms. Your expertise will guide strategic decisions, balancing ambition with practicality, while you manage the iterative process of fine-tuning, evaluation, and deployment.Your Daily Responsibilities Will Include......Innovating Exceptional Software. Your enthusiasm and insight will transform visionary concepts into actionable strategies, even if it sometimes means taking risks without a clear path ahead. Your capacity to learn and adapt is more crucial than existing knowledge....Taking Full Ownership of Projects. You will be the driving force behind the success of your systems and features, demonstrating a commitment to delivering results. Your proactive approach will ensure continual improvement through feedback and quality enhancements....Influencing Architectural Decisions. Leverage your familiarity with the latest model architectures to create robust systems for data collection, training, and inference. Your role will include optimizing model performance while carefully considering user privacy and effective data gathering....Thinking Both Broadly and Precisely. You recognize that your infrastructure choices significantly affect the end-user experience. With a focus on performance, you will develop large-scale models for cloud inference or finely tuned on-device models that prioritize efficiency.

About This Role Join Scale AI's Applied ML team as a Machine Learning Research Engineer, focusing on the development of advanced data infrastructure for leading agentic large language models (LLMs) such as ChatGPT, Gemini, and Llama. You will be responsible for architecting scalable multi-agent systems aimed at validating agentic reasoning and behaviors, enhancing human expertise, and conducting research to address real-world agent reliability failures, even in the face of strong benchmarks. Your contributions will directly impact the deployment of production fixes. This role is ideal for exceptional engineers who possess a deep research rigor and a strong commitment to creating practical, high-impact systems. You will iterate rapidly using data, leverage AI tools for accelerated development, and collaborate closely with engineering, product, and research teams. If you have a knack for transforming cutting-edge agent research into dependable deployed systems, we would love to hear from you.

About UsAt Applied Compute, we are pioneering Specific Intelligence for enterprises through advanced AI agents that learn continuously from organizational processes, data, and objectives. We recognize the significant gap between what AI models can achieve in isolation and their performance within actual business contexts, often failing to adapt to feedback. Our mission is to build a continual learning layer that captures context, memory, and decision traces across enterprises, creating environments where specialized agents excel at real tasks.Why Join Us? We operate at a unique intersection of product development and research. Our product team is developing the platform that empowers a new generation of digital coworkers, while our research team is advancing post-training and reinforcement learning to enhance product experiences. As applied research engineers, we work closely with customers to deploy models into production effectively. This blend of robust product focus, deep research, and customer engagement is our strategy for successfully integrating AI into enterprise operations. We are product-led, research-enabled, and strategically deployed.Meet Our Team: Our team consists of engineers, researchers, and operators, many of whom are former founders. We have established RL infrastructure at OpenAI, developed data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are backed by esteemed investors such as Benchmark, Sequoia, and Lux.Who Excels Here: We seek individuals passionate about applying innovative research and complex systems to overcome real-world challenges. Candidates should thrive in unfamiliar environments, whether it involves navigating new codebases, understanding new customer data architectures, or tackling unfamiliar problem domains. A genuine enjoyment of customer interactions—listening, empathizing, and comprehending how work is accomplished within organizations—is essential. Those with prior entrepreneurial experience, extensive side projects, or a proven ability to manage initiatives from start to finish will thrive in our culture.Your RoleAs a Research Systems Engineer, you will be responsible for training cutting-edge models and developing methodologies that facilitate continual learning within enterprise settings. You will design and execute large-scale experiments, delve into advanced reinforcement learning techniques, and create tools that enhance our understanding of the training process. This role uniquely positions you at the crossroads of research and systems engineering, where you will innovate new algorithms in collaboration with researchers and work alongside infrastructure engineers to deploy them on GPUs.

Join Reddit as a Senior Manager in our Large Customer Sales division, where you'll lead a dynamic team of Client Partners and Account Managers dedicated to empowering agencies and advertisers in achieving their marketing goals on our rapidly expanding platform. This role, based in San Francisco, is pivotal in driving sales strategies and fostering cross-functional partnerships to enhance client relationships and elevate the Reddit experience.

Contribute to a Safer World.At TRM Labs, we leverage blockchain analytics and AI innovations to empower law enforcement, national security entities, financial institutions, and cryptocurrency enterprises in identifying, investigating, and thwarting crypto-related fraud and financial misconduct. Our advanced blockchain intelligence and AI solutions facilitate the tracing of fund sources and destinations, recognition of illicit activities, case-building, and the development of a comprehensive threat landscape. We are a trusted partner to prominent organizations globally, dedicated to fostering a safer and more secure environment for all.Our AI Engineering Team is focused on pioneering next-generation AI applications, with a particular emphasis on Large Language Models (LLMs) and agentic systems. Our goal is to create resilient pipelines, high-performance infrastructure, and operational tools that ensure AI systems can be deployed with speed, safety, and scalability.We handle petabyte-scale data pipelines, deliver models with millisecond-level latency, and ensure the observability and governance necessary for AI to be production-ready. Our team is actively engaged in assessing and integrating state-of-the-art tools in the LLM and agent ecosystem, including open-source frameworks, vector databases, evaluation methodologies, and orchestration tools that empower TRM to innovate more rapidly than market demands.Your Impact:Design and implement a robust agentic framework that facilitates tool usage, context retrieval, memory integration, and strategic planning.Develop intelligent, modular agents that automate investigative workflows and enhance analyst decision-making capabilities.Expand and optimize our LLM infrastructure (e.g., OpenAI, Anthropic, on-premise models), including prompt engineering, retrieval-augmented generation, and user feedback loops.Create safe, observable, and auditable agent behaviors, ensuring reliability in sensitive operational environments.Assess performance based on metrics such as reasoning efficacy, latency, success rates, and hallucination instances, iterating based on user insights and system telemetry.Foster a culture of ownership, rapid experimentation, and ethical AI deployment.What We Seek:Proven engineering expertise with extensive experience in backend or systems development (Python preferred).Practical experience in building with LLMs, agent systems, and tooling frameworks (LangChain, semantic caches, vector databases, etc.).Strong understanding of AI principles, particularly in relation to agentic systems and LLMs.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Overview: At Spellbrush, we are revolutionizing the gaming experience by crafting a 3D first-person adventure game where an AI companion plays a pivotal role. Imagine MiSide enhanced with language learning models, seamlessly integrated into gameplay rather than merely serving as a role-play chatbot.About UsAt Spellbrush, we are dedicated to creating exceptional anime games, and we proudly stand as a global leader in generative AI. Our flagship project is niji・journey.Our mission is straightforward: to use AI to animate characters and redefine narrative-driven gaming.What We’re CreatingWe have engineered an innovative in-house LLM storytelling system that merges AI, narrative, and gameplay, transcending the limitations of conventional chat-only encounters.This results in an AI companion that collaborates with players in solving puzzles, retains memories across different worlds, and alters the progression of each chapter.About The RoleJoin our elite team to redefine video game experiences. Collaborate with leading minds in the industry, including the creator of Warudo and Cytoid, as well as a Google DeepMind veteran behind Project Astra, and top-tier AI researchers.As an integral early member of this team, you will enjoy significant artistic and research autonomy in shaping what could be the next era of LLM-driven storytelling.

Join Us in Building a Safer World.At TRM Labs, we specialize in blockchain analytics and AI solutions aimed at assisting law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in identifying, investigating, and preventing crypto-related fraud and financial crime. Our innovative platforms leverage blockchain intelligence and AI technology to trace funds, detect illicit activity, and construct comprehensive threat profiles. Trusted by leading organizations worldwide, TRM Labs is committed to enabling a safer and more secure environment for all.Our AI Engineering Team is dedicated to pioneering next-generation AI applications, particularly in the realm of Large Language Models (LLMs) and agentic systems. Our goal is to develop resilient pipelines and high-performance infrastructure that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale pipelines, ensuring model serving with millisecond latency while providing the necessary observability and governance to make AI production-ready. Our team actively evaluates and integrates leading-edge tools in the LLM and agent space, including open-source stacks, vector databases, evaluation frameworks, and orchestration tools to accelerate TRM’s innovation pace.As a Senior or Staff ML Systems Engineer – LLM, you will play a pivotal role in constructing and scaling our technical infrastructure for AI/ML systems. Your responsibilities will include:Creating reusable CI/CD workflows for model training, evaluation, and deployment, integrating tools such as Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval processes, and compliance checks across various environments.Developing a modular and scalable AI infrastructure stack that encompasses vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to embed AI models and agents into real-time applications and workflows.Continuously assessing and incorporating state-of-the-art AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Promoting AI reliability and governance while enabling experimentation, ensuring compliance, security, and continuous uptime.Enhancing AI/ML Model Performance and ensuring data accuracy and consistency, leading to improved model training and inference.Implementing infrastructure to facilitate both offline and online evaluation of LLMs and agents.

Join Anthropic as a Senior Research Scientist on our Reward Models team, where you will spearhead groundbreaking research aimed at enhancing our understanding of human preferences at scale. Your innovative contributions will directly influence how our AI models, including Claude, align with human values and optimize for user needs. You will delve into the forefront of reward modeling for large language models, designing novel architectures and training methodologies for Reinforcement Learning from Human Feedback (RLHF). Your research will explore advanced evaluation techniques, including rubric-based grading, and tackle challenges such as reward hacking. Collaboration is key, as you'll work alongside teams in Finetuning, Alignment Science, and our broader research organization to ensure your findings result in tangible advancements in AI capabilities and safety. This role offers you an opportunity to address critical AI alignment challenges, leveraging cutting-edge models and substantial computational resources to further the science of safe and capable AI systems.

About Marathon FusionAt Marathon Fusion, we are pioneering the engineering advancements necessary to transition fusion energy from experimental stages to operational power plants. While many in the industry focus on the development of innovative fusion devices, we are dedicated to creating the practical systems required to implement fusion energy at a scale relevant to combating climate change.We specialize in developing essential technologies for the fuel cycle and plant operations, including stable isotope production, fuel cycle closure, and advanced blanket systems that facilitate both energy generation and high-value co-products.Founded in 2023, Marathon Fusion is committed to constructing the components and systems that will establish fusion as a viable, abundant, and reliable energy source for the modern era.Our CultureWe operate in a dynamic startup environment that demands focus, adaptability, and prioritization in a constantly evolving landscape. Success here hinges on proactive communication across diverse roles and backgrounds, fostering trust among team members, and a commitment to continuous learning and skill development. We place a high emphasis on self-direction and initiative among our team members.Position OverviewAs an Applied Physicist on the Lithium Team, you will collaborate with mechanical engineers, electrical engineers, and technicians to design, implement, and analyze experiments that propel the advancement of the fusion fuel cycle and stable isotope production. Your hands-on expertise in designing and testing reactive material systems (such as lithium, liquid metals, or molten salts) will be crucial in the development of an innovative isotope separation device.Key ResponsibilitiesDesign and conduct experiments on lithium plasma systems functioning under high-vacuum and elevated temperature conditions.Develop and utilize diagnostic tools, instrumentation, and data acquisition systems to accurately capture and analyze experimental data.Interpret experimental findings to cultivate physical insights, identify key governing phenomena, and enhance system design and processes.Work collaboratively with mechanical and testing engineers to translate experimental data into durable hardware solutions.Contribute to the design and development of vital subsystems, including hollow cathodes, lithium handling, condensation, thermal management, and pumping systems.Qualifications5+ years of experience in designing, prototyping, and testing reactive materials systems.Strong background in experimental physics, particularly in the context of fusion energy and isotopic separation.Proficient in data analysis and interpretation, with a keen ability to derive actionable insights from experimental results.Excellent communication skills and a collaborative mindset are essential for successful teamwork.Bachelor's degree in Physics, Engineering, or a related field; advanced degrees are a plus.

Join Scale's innovative Large Language Model (LLM) post-training platform team, where you will contribute to the development of our internal distributed framework designed specifically for LLM training. This sophisticated platform empowers Machine Learning Engineers (MLEs), researchers, data scientists, and operators to perform rapid and automated training and evaluation of LLMs. Additionally, it underpins the training framework for our data quality evaluation pipeline.Scale is at the forefront of the Artificial Intelligence sector, acting as a vital provider of training and evaluation data, as well as comprehensive solutions for the entire machine learning lifecycle. In this role, you will collaborate closely with Scale’s ML teams and researchers to construct the foundational platform that supports all our ML research and development initiatives. Your work will involve building and optimizing this platform to facilitate the training, inference, and data curation of next-generation LLMs.If you are passionate about driving the future of AI through groundbreaking innovations, we invite you to connect with us!