Innovative AI Researcher at Magic | San Francisco

Innovate Boldly. Shape Tomorrow. Our VisionDevelop everyday AGI. Trustworthy, user-friendly agents that transform human–AI collaboration for millions. Software should not merely execute commands; it should collaborate with you, enhancing your daily capabilities.Why Join AGI, Inc.?We are a discreet group of pioneering founders and AI researchers with expertise from Stanford, OpenAI, and DeepMind. Our team is at the forefront of mobile and computer-based agents, scaling these innovations for consumers.With years of agent research underpinning our work, we prioritize trustworthiness and reliability as foundational elements, not mere afterthoughts.Backed by top-tier investors who were instrumental in the rise of the first generation of AI giants, we are positioned to create the next wave: everyday AGI. (Check out the demo)If you envision possibilities where others see constraints, we invite you to read further.Role OverviewAs an AI Researcher, you will pioneer the development of groundbreaking AI algorithms and strategies for intelligent action-taking agents. Your innovative hypotheses will be transformed into production-ready solutions, pushing the limits of existing agent capabilities.What to Expect:Explore New Frontiers. Develop and prototype advanced architectures in reasoning, long-term planning, memory, multi-agent coordination, and alignment.Deliver Results. Conduct live A/B tests on billions of real trajectories, seeing your innovations implemented in production within weeks.Merge Theory with User Delight. Collaborate with product engineers to integrate novel algorithms into enjoyable consumer experiences.Set the Standard. Define our research rigor, safety metrics, and evaluation frameworks for anything labeled as “agentic.”Elevate Others. Mentor interns, residents, and interdisciplinary innovators, amplifying the team's overall impact.Main ResponsibilitiesInnovate Methodologies. Explore RLHF, scalable supervision, tool-use planning, state-space memory, and any other strategies that unlock new agent skills.

Think Different. Build the Future. Our MissionCreating everyday AGI. We develop reliable, consumer-grade agents that transform human–AI collaboration for millions. Our software is designed to be a proactive partner, enhancing your capabilities daily.Why Join AGI, Inc.?Our team consists of distinguished founders and AI researchers from Stanford, OpenAI, and DeepMind. As trailblazers in the field of mobile and desktop agents, we are scaling these innovations for consumers.With years of research backing us, our AI prioritizes trustworthiness and reliability. Supported by top-tier investors who funded the pioneers of AI, we are on a mission to build the next generation of everyday AGI. (Watch the demo)If you envision possibilities where others see limitations, we want to hear from you.Role OverviewAs a Product Designer, you will be the creative voice within a small, dynamic team dedicated to redefining how millions interact with autonomous agents. You will oversee the design journey from initial concept to flawless execution.Key Responsibilities:Envision the future. Sketch ideas in the morning, build prototypes in Figma by midday, and conduct user tests by evening.Bring clarity to complexity. Translate intricate agent behaviors into an intuitive UI that feels seamless.Perfect every detail. Focus on animation, micro-copy, and haptics—nothing is released until it truly delights.Collaborate with experts. Work closely with researchers and engineers to blend groundbreaking models with exceptional interaction design.Establish benchmarks. Create design systems, ensure accessibility, and define the brand voice that future hires will adhere to.QualificationsProven experience in product design with a strong portfolio showcasing your design process and outcomes.Proficiency in design tools such as Figma, Sketch, or Adobe Creative Suite.Strong understanding of user-centered design principles and best practices.Excellent communication and collaboration skills, especially in team settings.Ability to adapt and thrive in a fast-paced, evolving environment.

Think Different. Build the Future. Our MissionDevelop everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software should proactively assist users, enhancing daily productivity and creativity.Why Join AGI, Inc.We are a pioneering team of elite founders and AI researchers with backgrounds from Stanford, OpenAI, and DeepMind. We are at the forefront of mobile and computer-use agents, focusing on bringing these groundbreaking capabilities to consumers on a large scale.With years of dedicated agent research, our AI is built around trustworthiness and reliability as foundational principles, rather than as afterthoughts.Backed by top-tier investors who have fueled the first generation of AI trailblazers, we are now on a mission to create the next: everyday AGI. (Watch the demo)If you envision possibilities where others see limitations, we invite you to read on.About the RoleAs one of the initial engineers, you will play a crucial role in shaping our core product and transforming how individuals incorporate AI companions into their daily workflows.Expect to:Innovate from scratch. Conceptualize on the whiteboard in the morning and have a demo ready by evening.Take ownership of the entire stack. Work across backend, frontend, model orchestration, and observability to minimize friction between ideas and final product delivery.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, pushing them to production within days, not months.Set the standard. Establish engineering, design, and reliability benchmarks that future team members will adhere to.Transform markets. Your features will not be confined to a sandbox; they will redefine how everyday individuals engage with and trust AI.You will lead projects from conceptualization to production deployment, iterating swiftly and placing genuine user feedback at the core of product decisions.Key ResponsibilitiesDevelop comprehensive experiences: Design, code, and implement end-to-end solutions that enhance user interaction with AI.

At magic.dev, we are committed to advancing humanity by developing safe artificial general intelligence (AGI) that tackles the world's most pressing challenges. Our unique approach focuses on automating research and code generation to enhance model performance and alignment more effectively than traditional methods. By leveraging cutting-edge pre-training, domain-specific reinforcement learning, ultra-long context processing, and efficient inference-time computation, we aim to redefine the capabilities of AGI.Role OverviewAs a Research Engineer, you will play a pivotal role in training, evaluating, and deploying large-scale AI models alongside innovative inference-time computing methods. You will contribute to the creation of extensive internet-scale datasets and support the prototyping of groundbreaking research and product initiatives.Key ResponsibilitiesEnhance inference throughput for cutting-edge model architecturesDevelop and refine frameworks that underpin our research and production processesTrain trillion-parameter models using large GPU clustersCurate post-training datasets to bolster specific capabilitiesConstruct internet-scale data pipelines and web crawlersDesign, prototype, and optimize innovative model architecturesContribute to cutting-edge research in long-context, inference-time computation, reinforcement learning, and additional domainsQualificationsProven software engineering expertiseIn-depth understanding of deep learning literatureExperience with both pre-training and post-training of large language models (LLMs)Strong capability to generate and assess research ideasFamiliarity with large distributed systemsProficient in managing substantial ETL workloadsCompensation and BenefitsAnnual salary ranging from $225,000 to $550,000 based on experienceEquity is a significant component of total compensation401(k) plan with a 6% salary matchComprehensive health, dental, and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation assistance availableBe part of a small, dynamic, and focused team

Innovate with Us. Shape the Future. Our VisionCrafting everyday AGI. Reliable, consumer-grade agents that transform human–AI interaction for millions. Software should be proactive; it should collaborate with you, enhancing your capabilities daily.Why Join AGI, Inc.We are a pioneering team of distinguished founders and AI researchers from Stanford, OpenAI, and DeepMind. As leaders in mobile and computer agents, we are dedicated to scaling these innovations for consumers.Our AI solutions are built on a foundation of rigorous research, prioritizing trust and reliability as essential elements, not mere afterthoughts.With backing from top-tier investors who have supported the first generation of AI pioneers, we are on a mission to create the next wave: everyday AGI. (Watch the demo)If you envision opportunities where others see obstacles, we invite you to explore further.Role OverviewAs one of our inaugural engineers, you will play a crucial role in shaping our flagship product, influencing how millions engage with autonomous AI companions in their daily tasks.Key Expectations:Innovate from the ground up. Conceptualize in the morning and present a prototype by evening.Take charge of the entire tech stack. Manage backend, frontend, model orchestration, and observability, ensuring seamless transitions from ideas to product launches.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, launching them in days rather than quarters.Set the standard. Define the engineering, design, and reliability benchmarks that future hires will adhere to.Influence the market. Your contributions will not be confined to a sandbox; they will reshape how everyday individuals trust and engage with AI.You will spearhead initiatives from initial design through to production deployment, rapidly iterating based on real user feedback at the core of product development.Core ResponsibilitiesLeverage cutting-edge LLMs. Transform GPT-5, Llama, and other advanced models into consumer-ready solutions.

About the RoleJoin Thorin as an AI Researcher and play a pivotal role in shaping the core research initiatives that drive our AI innovations. In this position, you will operate at the crossroads of machine learning research, practical model development, and product application, enhancing our understanding and automation of enterprise workflows.This position merges theoretical research with hands-on implementation, transitioning ideas from conceptual stages through experimentation into functional components that enrich Thorin’s offerings.Your ResponsibilitiesResearch & InnovationConduct innovative machine learning research aligned with real-world product demands.Investigate new model architectures, training methods, and evaluation techniques specifically designed for understanding and automating organizational workflows.Model Development & EvaluationCreate, implement, and assess ML/AI methodologies that enhance model efficacy for essential tasks.Collaborate closely with cross-functional teams to integrate research outcomes into tangible products that meet user needs.

About UsAt 1mind, we are revolutionizing the way revenue teams engage with clients through our innovative platform that deploys multimodal Superhumans. These advanced digital agents combine human-like appearance and communication skills with extensive technical and product knowledge, allowing them to conduct unlimited conversations around the clock. Our Superhumans are designed to qualify leads, schedule meetings, deliver presentations, provide interactive demos, address objections, identify pain points, construct value models, and facilitate customer onboarding. They seamlessly integrate into existing workflows, enhancing productivity and driving measurable revenue growth while improving the overall buyer experience.Job DescriptionWe are seeking a dynamic AI Research Lead to spearhead our research initiatives at 1mind. This pivotal position will significantly influence our company's direction and success. In this role, you will conduct exploratory research focused on post-training methodologies for sales and go-to-market (GTM) strategies, developing models that elucidate human selling behaviors and relationship-building processes. Collaborating closely with our CTO, you will have the autonomy to shape the research agenda, build a dedicated team, and disseminate your findings. This is an applied research role with immediate impact; our agents are currently operational in customer environments, producing high-quality data from thousands of authentic buyer interactions.If you have a background in cutting-edge research and post-training work at a leading lab, and you are eager to create solutions that will be implemented in production environments utilizing unique datasets, we want to hear from you.

Join the Future of AI at MercorAt Mercor, we find ourselves at the dynamic intersection of labor markets and artificial intelligence research. Our collaborations with top-tier AI laboratories and corporations empower us to deliver the crucial human intelligence that fuels AI advancement.Our expansive network of talent is akin to educators nurturing students; we impart knowledge, experience, and nuances that cannot simply be encoded. Currently, over 30,000 experts within our network generate upwards of $2 million daily.We are pioneering a novel category of employment where expertise drives the evolution of AI. To realize this vision, we require a driven, fast-paced, and exceptionally dedicated team. You will collaborate with researchers, operators, and cutting-edge AI firms that are shaping the future of societal systems.Mercor is a thriving Series C enterprise, currently valued at $10 billion. Our team operates in-person, five days a week, at our state-of-the-art headquarters in San Francisco.About the RoleLeading AI companies in Silicon Valley engage with Mercor to identify domain experts capable of training and assessing their models. As an AI Researcher at Mercor, you will be tasked with pushing the boundaries of model evaluation to enhance model performance across the industry, creating tangible economic value.You will regularly publish influential papers alongside industry leaders, have access to extensive resources for crafting impactful datasets, and engage with cutting-edge evaluation and training data. Collaborating closely with Mercor’s Forward Deployed Research, Applied AI, and Operations teams will provide you with unparalleled opportunities to assess leading models.We seek an accomplished AI researcher. A demonstrated history of publications in LLM evaluations is preferred, but we also value experience with other types of model evaluations or AI-related publications.Key ResponsibilitiesDevelop benchmarks that quantify the real-world impact of AI models.Publish LLM evaluation studies in top-tier conferences with the backing of Mercor’s Applied AI and Operations teams.Advance the understanding of data ROI in model development, encompassing multi-modality, coding, tool usage, and beyond.Design and validate innovative data collection and annotation solutions for leading industry labs and major tech firms.What We’re Looking ForA PhD or M.S. with 2+ years of professional experience in computer science, electrical engineering, econometrics, or a related STEM discipline that provides a robust foundation in machine learning and model evaluation.A strong publication record in AI research, particularly in model evaluation is essential.

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.

About Resolve AIAt Resolve AI, we are redefining the role of software maintenance and production troubleshooting by creating a revolutionary, fully autonomous AI Production Engineer. Our technology is designed to diagnose and resolve intricate system issues from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who are the masterminds behind OpenTelemetry and have previously spearheaded initiatives at Splunk Observability, our team boasts two successful exits to Splunk and VMware.Having successfully secured over $150M in funding from prestigious investors like Lightspeed, Greylock, and Unusual Ventures, alongside notable individuals such as Jeff Dean (Chief Scientist, Google DeepMind) and Fei-Fei Li (Professor, Stanford), we are well-positioned for growth.Joining Resolve AI now presents a unique opportunity to be part of an AI-driven company that is at the forefront of transforming engineering workflows.

Join Perplexity as an AI Research Tech Lead, where you'll spearhead our research initiatives and oversee the advancement of our proprietary Online LLMs, the Sonar models. In this pivotal leadership position, you will define the overarching research strategy across various modalities, mentor a talented team of researchers, and leverage our extensive query/answer dataset to enhance Sonar model performance, delivering a state-of-the-art Online LLM experience for our users.Key ResponsibilitiesResearch Leadership & StrategyEstablish and implement the overarching research strategy across diverse modalities, including post-training LLMs for agent trajectories and future mid-training projects.Lead the strategic planning and roadmap development to enhance Sonar model functionalities.Innovate in supervised and reinforcement learning techniques aimed at optimizing query answering.Collaborate with executive leadership to align research goals with product and business strategies.Team Development & MentorshipGuide and mentor a team of AI research scientists and engineers, nurturing their technical and professional development.Set the long-term research direction for the team, encompassing various modalities.Lead the recruitment and onboarding of new research talent.Foster a collaborative atmosphere that promotes knowledge sharing and innovative thinking.Technical ExcellencePost-train cutting-edge LLMs focused on query answering using advanced supervised and reinforcement learning techniques.Own and enhance the complete data, training, and evaluation pipelines necessary for LLM post-training.Deliver Sonar models that achieve top-notch query answering performance.Lead research efforts into agent trajectories and multi-modal capabilities.Steer the technical roadmap for future mid-training investments.Cross-Functional CollaborationCollaborate closely with engineering teams to integrate Sonar models into our products.Work with product teams to discern user needs and translate them into research priorities.Partner with data teams to effectively utilize our unique query/answer dataset.Communicate research progress and findings to stakeholders and broader teams.

About HandshakeHandshake is the premier career network tailored for the AI economy, connecting 20 million skilled professionals with over 1,600 educational institutions and 1 million employers, including every Fortune 50 company. Our platform empowers career discovery, recruitment, and skill enhancement, facilitating everything from freelance AI training opportunities to internships and full-time roles. Our unique value proposition has catalyzed exceptional growth, and we anticipate tripling our ARR by 2025.Why join Handshake now:Influence the evolution of careers in the AI landscape on a global scale, creating visible and meaningful impacts for your community.Collaborate closely with leading AI labs, Fortune 500 partners, and top-tier educational institutions.Become part of a team led by experts from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others.Play a crucial role in building a rapidly expanding enterprise with substantial revenue potential.The RoleAt Handshake AI, we are innovating a new generation of human-data products—from expert annotation platforms to AI interviewers and seamless payment infrastructures—designed to streamline research and enhance model efficacy. As AI models advance, the need for specialized human input is surging, and Handshake is uniquely equipped to cater to this demand. We support career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across diverse fields.We are seeking a strategic, impact-driven UX Researcher to help redefine the future of human data. In this role, you will contribute to the development of platforms utilized by real human experts to generate data for LLMs at leading AI labs.Your ResponsibilitiesLead comprehensive UX research initiatives that drive the development of Handshake AI's human data products, including expert onboarding processes, annotation workflows, evaluation tools, and internal operational systems.Monitor and analyze user sentiment, usability, and efficiency across systems to facilitate ongoing enhancements.Extract actionable insights from qualitative research and product analytics to inform design and strategic direction.Plan and execute both evaluative and generative research throughout the entire product lifecycle, from initial concepts to live applications.Provide swift, actionable insights that enhance user experience, product quality, and operational efficiency.

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.

Innovate Boldly. Shape Tomorrow. Our VisionCrafting everyday AGI. Reliable, consumer-friendly agents that transform human-AI synergy for millions. Our software is designed to act as a collaborator, enhancing your daily capabilities.Why Choose AGI, Inc.?We are a discreet collective of exceptional founders and AI pioneers, whose expertise spans Stanford, OpenAI, and DeepMind. Our team leads the way in mobile and computer-based agents, scaling these innovations for consumer use.With a foundation rooted in extensive research on agents, our AI prioritizes trustworthiness and reliability as fundamental principles.Backed by top-tier investors who previously supported the first wave of AI leaders, we are now positioned to create the next generation: everyday AGI. (Check out the demo)If you envision possibilities where others perceive restrictions, continue reading.Your RoleTraining Automation: Design and execute robust CI/CD pipelines tailored for machine learning workflows. Automate nightly and on-demand training sessions encompassing data ingestion, job orchestration, checkpointing, and artifact management, with a focus on reliability.Evaluation Infrastructure: Develop scalable evaluation frameworks that automatically benchmark models with each merge. Enhance latency and resource efficiency to ensure quick experimentation and immediate detection of performance regressions.Research Tooling: Create internal SDKs, CLIs, and lightweight UIs (e.g., Streamlit, Retool) empowering researchers to:Examine trajectories and tracesVisualize model failuresOrganize and oversee datasetsIterate seamlesslyYou'll facilitate a user-friendly experimentation process.Observability & Performance: Enforce comprehensive tracking for:Model latency, throughput, and error ratesGPU utilization, and more.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

Join Anthropic as a Transformative AI Research Economist, where you'll leverage your expertise in economic research to drive groundbreaking advancements in artificial intelligence. Collaborate with a team of dedicated professionals committed to ethical AI development, fostering innovative solutions that prioritize safety and alignment.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.