• Spearhead end-to-end research for "big bet" initiatives • Scale research capability by coaching Product Managers and Designers • Audit and re-engineer manual workflows using AI-driven automation tools • Architect and maintain a centralized repository for historical data • Establish "Rules of the Road" for AI-augmented research • Facilitate high-stakes post-research workshops

This Job location open to anywhere in the world. Many academically-talented high-achieving individuals wonder if a career in quantitative finance is right for them. One of the most important and popular roles in quantitative finance is Alpha research, which involves developing profitable trading signals based on real-world data. Unfortunately, quantitative trading is a tight-knit industry and it is difficult to find detailed information about building a successful career in this field. To address this problem, Trexquant created the Global Alpha Research Program to provide a platform for career growth and advancement and give participants direct experience in buy-side Alpha research. We seek bright and passionate scientists, mathematicians, and engineers to join our talented team of Global Alpha Researchers to conduct exciting Alpha research. Our ideal candidate is analytical and creative, as well as persistent at finding strong Alphas. Responsibilities Develop market-neutral, medium-frequency Alphas that predict future stock returns Investigate and implement recent academic research Develop algorithms to filter and combine Alphas Parse data sets to be used for future alpha development Apply machine learning techniques to alpha discovery and portfolio construction Benefits Monthly compensation plus performance bonus Flexibility to work conveniently from anywhere in the world and during any time of the day Invaluable learning and networking opportunities with global hedge fund managers Access to proprietary technology platforms for exploring and converting ideas into signals that can be traded in the real world Mentoring and guidance from experienced quantitative researchers Full-time offers for top performers Trexquant is an Equal Opportunity Employer

About Us Tavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms. Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale. We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners . Be part of shaping a future where humans and machines truly understand each other. The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you. Your Mission 🚀 Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads). Model video, audio, and language sequences using Autoregressive , Predictive Architectures (e.g., V-JEPA ), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images. Collaborate with the Applied ML team to bring your work to life in production systems. Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next. You’ll Be Great At This If You Have: A PhD (or near completion) in a relevant field, or equivalent hands-on research experience. Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings. Deep understanding of sequence modeling in video/audio/language domains. Familiarity with large model training , especially LLMs or VLMs . Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice. Excellent programming skills, especially in PyTorch . Nice-to-Haves Publications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM. Broader understanding of generative AI and multimodal architectures. Familiarity with software engineering best practices. Curiosity and a flexible mindset — you like building and experimenting. Location Preferred: San Francisco (hybrid) or London (office opening soon) . Remote within the U.S. or Europe available for exceptional candidates. Benefits & Culture When you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love. To learn more about our team culture and benefits, check out our hiring page. Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch. We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

• Own and lead UX research activities across discovery, concept validation, and usability phases • Plan, conduct, and synthesise user interviews, usability testing, stakeholder interviews, and journey mapping • Create actionable outputs like personas, user journeys, service blueprints, and research reports • Proactively identify users to talk to—whether through clients, internal teams, or customer success • Translate research insights into product opportunities and design inputs • Collaborate with UX designers, product managers, and front-end teams throughout the design process • Help shape our research practice as we scale, including mentoring junior team members when needed • Proactively identify new opportunities for research within existing client engagements to extend project reach