Oddin

About Valka.ai Valka, a visionary spin-off from the Realms Group (the parent company of Oddin.gg), is on a mission to revolutionize the way people create and experience digital content. Our team believes that content shouldn’t just be consumed; it should be co-created in real time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive human-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more. This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the paradigm from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and beyond. Role summary You will sit at the boundary between our Video Generation research team and the product engineering platform! Your primary job will be to take models and demos produced by research scientists and turn them into robust, deployable Python services that can be plugged into the production platform. You will report to the Head of Engineering and partner closely with Video Generation researchers. You won’t be a researcher inventing new models, nor a backend generalist — you will be the person who makes the research land. What you'll do - Package and containerize AI models (Python/Docker) from research into clean, versioned services with well-defined APIs - Own the engineering side of the tech transfer process: inference specs, environment setup, model mocking, and integration scaffolding - Collaborate closely with research scientists on quantization, TensorRT compilation, and hitting latency budgets (e.g. <200ms real-time response targets) - Maintain and operate model services in production, debugging stability and performance issues under load - Contribute to the dual-track delivery model — keeping the engineering platform moving even while research is still iterating Skills you need - Strong Python engineering skills; comfortable writing production-grade, maintainable code - Comfortable owning ambiguous model-to-service transfers end-to-end with a high degree of autonomy - Hands-on experience deploying ML/AI models (inference pipelines, serving frameworks) - Familiarity with GPU workloads, containerization, and model optimization concepts - Ability to read and work directly with research code and translate it into reliable services - Bonus: experience with video/image generation models, TensorRT, or real-time streaming pipelines

Role Description We're looking for esports enthusiasts who are passionate about turning their hobby into a career. We are experts in creating betting odds and work in a dynamic environment of rapidly changing trends in the world of esports and, more recently, sports. We are developing a product for modeling live esports matches in real-time and their analysis, from which we create betting odds and statistics for games/titles such as Dota2, League of Legends, CS2 and many more. If you enjoy the world of esports, want to delve into betting and are able to think analytically, feel free to write to us. We are currently looking for specialists in Valorant, LOL, WoT, R6 and Call of Duty. - Monitoring and analysis of esports matches in real-time for the creation of betting odds - Adjustment of odds based on knowledge of selected titles in the monitored match - Post-match analysis of played matches for the purpose of creating and adjusting betting odds - Cooperation with the department of mathematicians in order to improve mathematical models and trading applications - Participation in the development of new projects and titles from the world of esports Qualifications - Very good knowledge of one or more esports titles: Dota2, LoL, CS2, Mobile Legends, Call of Duty, Rainbow Six Siege or World of Tanks - Odds/probability are not foreign words to you - Willingness to educate yourself in trading strategies - Ability to make quick and correct decisions - Reliability and active approach - Time flexibility - Communication in English on a daily basis - Clean criminal record - Own equipment: Desktop PC, at least 2 monitors with the possibility to upgrade to 3 after the probationary period Requirements - Experience from the world of betting - classic sport or esports - a great advantage - Experience in a similar position - You are or have been a professional esports player in one of the mentioned titles - Knowledge of the title Dota2 Benefits - Work on an interesting project in a dynamically developing esports industry - Home Office 100% - work from home after training - Offices at metro line C - Dynamic environment and young team - Quarterly performance bonuses - Fair approach - Freelance work

Role Description At Oddin.gg, we are redefining the future of esports betting and fast content. We are looking for a Director FBC who will take full ownership of our fast betting content business unit, including its strategy, execution, and financial performance. - Full P&L ownership position. - Operations: Trading, Quants, Product, and Marketing. - Partnerships: Managing high-stakes relationships with external Studio partners. - Growth: Driving revenue, operational excellence, and global expansion. Your Position on the Board - Business Strategy & P&L Ownership - Define the vision and roadmap for the FBC unit. - Take full accountability for P&L, revenue growth, and cost efficiency. - Identify new market opportunities and innovative studio formats. - Operational Scaling & Excellence - Synchronize Trading, Product, and Development under a unified direction. - Establish rigorous KPIs and performance frameworks to ensure delivery. - Optimize complex workflows across multiple entities and locations. - Studio & Stakeholder Management - Direct the strategic relationship with Studio partners to align output with business goals. - Navigate external governance structures while driving global studio expansion. - Act as the primary FBC representative for the CEO and key global clients. Qualifications - Senior Industry Leader: 10+ years in senior roles within Sportsbook, Betting, or Gaming (FBC or Virtuals experience highly preferred). - P&L Expert: Proven track record of financial ownership and driving bottom-line profitability. - The "Builder" Mentality: Experience transforming or scaling complex business units from the ground up. - Master Communicator: Fluent in English (C1+) with the ability to lead through influence across diverse functions. Benefits - Own and shape an entire business unit in one of the fastest-growing companies in esports. - Operate at a level with direct impact on company performance. - Work across product, trading, studios, and commercial functions. - Be part of building the future of fast betting content globally.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves exploring and developing AI video generation models with a focus on World Models. - Explore how to use World Models for understanding, simulations, and generation of sport or eSport matches (e.g., soccer, DOTA). - Design, develop, and optimize AI video generation models, particularly with autoregressive architectures. - Develop and implement state-of-the-art algorithms for synthesizing sport matches. - Be hands-on, versatile, and possess a sense of humor while supporting data recording for AI horse video models. - Work closely with other teams on large-scale video-action datasets and implement a complex data-cleaning and pre-processing pipeline. - Define robust validation strategies and implement custom evaluation metrics comparing synthetic vs. real gameplay. - Stay updated with relevant literature (e.g., CVPR, NeurIPS, ICML, ICCV) and align it with our roadmap. Qualifications - Pursuing PhD! (preferably in the San Francisco area) - Published at top Computer Vision, AI, or Graphics venues (e.g., CVPR, ICML, ICCV, Siggraph, NeurIPS). - Demonstrated hands-on experience with building and running generative CV models (e.g., GANs, DiT, VAE). - Solid understanding of neural architectures and paradigms (e.g., Transformers, Denoising Diffusion Models, RNNs, Sequence Models, CNNs). - Solid understanding of VAEs (e.g., ELBO). - Basic understanding of Reinforcement Learning. - Proficiency in Python and PyTorch. Benefits - Opportunity to lead a new wave of interactive video content. - Chance to transform entire industries and reimagine how digital content is created, shared, and experienced. - Unique opportunity to shape the future of interactive video content.