Title: Audio Lead (Games) Location: Seattle, Washington Type: Full Time Workplace: remote Category: Interactive Audio Job Description: Skydance Games, a division of Paramount, a Skydance Corporation, is building the future of franchise-driven interactive entertainment. As part of a global storytelling company defined by iconic worlds and multigenerational fandom, we see gaming not as an extension of our brands, but as one of the most powerful ways their stories come to life and evolve alongside the audiences who love them. Through creativity, collaboration, and trust, we empower our teams to push boundaries and turn bold ideas into experiences that resonate with fans around the world. Do you want to craft games that challenge expectations and inspire players? Come build something extraordinary with us. For information on Skydance’s privacy practices, see the Skydance U.S. Personnel Privacy Notice located at https://skydance.com/privacy-personnel/. Why Join Us? To put it simply: You’ll work with great people, making top-tier, high-quality interactive experiences for the highly acclaimed new title, “Marvel 1943: Rise of Hydra”. We have assembled the best external development, publishing and IP partners in the world. Our internal team will remain small relative to other AAA developers so we can all maintain the highest levels of familiarity, trust and effectiveness. You’ll be surrounded by industry veterans, currently with an average of 20 years’ experience, in a climate of mutual trust, maturity, candor and playful collaboration. We believe that life’s too short to work with difficult people, regardless of talent, so exceptional character and strong principles are requirements for every role. Your days will be focused on solving creative and technical problems, not navigating corporate politics. What You’ll Do: We are searching for an Audio Lead to join our core team developing a high-quality AAA single-player story- driven action-adventure game built using the Unreal Engine. As Audio Lead, you will define the creative vision, technical direction, and production standards for all audio in the project. You will guide, mentor, and support the sound design teams, ensuring our audio deepens immersion, strengthens gameplay clarity, and enhances emotional impact. We only hire talented, collaborative people with strong communication skills who are laser focused on achieving excellent results. In This Role, You Will - Define and champion the overall audio vision, ensuring it aligns with the game’s tone, narrative, and player experience goals. - Plan, source, and supervise external audio partners, composers, voice talent, and vendors as needed. - Review and approve audio assets to ensure quality, consistency, and technical performance standards are met, providing clear direction and feedback. - Oversee the end-to-end audio pipeline, from concept through implementation and final polish. - Collaborate closely with design, engineering, and art leads to ensure audio is fully integrated into gameplay systems and production workflows. - Partner with engineering to establish best practices for implementation in Unreal Engine. - Focus on clarity, mix balance, emotional impact, and accessibility. - Create and maintain documentation, pipelines, and standards that support a sustainable and efficient audio workflow. - Own scheduling, budgeting, and resource planning for all audio-related work. We Are Looking For: - Demonstrated experience leading audio teams on shipped PC and/or console titles. - Strong working knowledge of Unreal Engine and Wwise, with a solid understanding of technical implementation (even if not executing it directly). - Proven ability to manage vendors, contractors, composers, and voice production. - Experience overseeing adaptive or interactive music systems. - Deep understanding of cross-platform audio requirements, optimization, and certification considerations. - Strong communication skills and the ability to advocate for audio across disciplines. - Comfort working in a collaborative, remote-friendly studio environment. - A proactive, solution-oriented mindset suited to a small or growing team. The annual salary range for this position in Los Angeles is $115,000 – $130,000. The salary offered may vary based on the candidate’s location, qualifications, experience and relevant expertise, among other factors. The range indicated is for base salary only and does not reflect the total compensation package, including bonus, benefits, etc. We realize that skills and expertise can come from many different experiences and paths, and we encourage you to apply even if you don’t meet all of the requirements as written in the job description. Paramount, a Skydance Corporation is a diversified media company creating high quality, event-level entertainment for global audiences. The Company brings to life stories of immersive worlds across its feature film, television, interactive/games, and animation divisions. Recruitment Fraud Alert It has come to our attention that there may be fraudulent activity by individuals impersonating our Talent Acquisition team. Skydance will only contact you from an official “@skydance.com” email address. If you suspect that you are being contacted by an unauthorized person or believe that the correspondence you have received is suspicious, please do not click on any links or attachments in such emails and submit any questions or concerns to our information security team at https://skydance.com/report-suspected-fraud/.

Role Description Estamos à procura de um(a) Machine Learning Engineer para integrar uma equipa tecnológica focada no desenvolvimento e operacionalização de soluções de Machine Learning em ambientes cloud-native. Esta função terá um papel central na construção de pipelines de ML escaláveis, automação de workflows e implementação de boas práticas de MLOps, garantindo soluções robustas e preparadas para produção. Como Machine Learning Engineer, serás responsável pelo desenho, desenvolvimento e otimização de sistemas de Machine Learning em produção, com forte foco em feature engineering, automação e escalabilidade. Irás colaborar com equipas de Data Science, Engenharia e Produto para transformar modelos analíticos em soluções produtivas, fiáveis e eficientes. Terás também um papel ativo na definição de práticas de MLOps, monitorização e melhoria contínua das plataformas de ML. Responsibilities - Desenvolver pipelines escaláveis de feature engineering; - Construir e orquestrar pipelines end-to-end de Machine Learning utilizando Databricks; - Implementar workflows de MLOps, incluindo CI/CD para Machine Learning; - Gerir o ciclo de vida dos modelos (versionamento, deployment, monitorização e retraining); - Otimizar performance, escalabilidade e custos de pipelines e modelos; - Colaborar com equipas multidisciplinares na industrialização de soluções de Data Science; - Garantir fiabilidade, monitorização e observabilidade dos sistemas de ML em produção; - Promover boas práticas de automação e engenharia de Machine Learning. Qualifications - Formação superior em Engenharia Informática, Matemática, Estatística ou área similar; - Mínimo de 5 anos de experiência em Machine Learning Engineering; - Forte experiência em feature engineering e desenvolvimento de pipelines de dados; - Experiência prática com Databricks e orquestração de workflows; - Conhecimentos sólidos de MLOps e automação; - Experiência em gestão do ciclo de vida de modelos de ML; - Capacidade comprovada de otimização de performance de modelos e pipelines; - Experiência com plataformas cloud, preferencialmente AWS; - Forte domínio de Python; - Capacidade de trabalhar de forma autónoma e colaborativa. Preferred Qualifications - Experiência em processamento distribuído de dados em larga escala; - Conhecimentos adicionais de GCP ou Azure; - Familiaridade com ferramentas de monitorização e observabilidade para ML; - Forte capacidade analítica e resolução de problemas; - Experiência em ambientes cloud-native modernos. Benefits - Regime totalmente remoto a partir de Portugal; - Participação em projetos avançados de Machine Learning e Data Engineering; - Integração numa equipa técnica especializada e colaborativa; - Ambiente orientado à inovação, automação e melhoria contínua; - Oportunidades de crescimento técnico e evolução profissional; - Contacto com tecnologias modernas de ML, cloud e MLOps; - Pacote salarial competitivo, ajustado à experiência.

Role Description We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research, develop, and scale Enchant — our multimodal transformer model trained on a wide variety of biomedical data — pushing the boundaries of what large-scale foundation models can achieve in drug discovery. This role spans architecture research through to production deployment. - Research and implement architectural improvements to large-scale multimodal transformer models for biomedical applications - Investigate hybrid modeling approaches that combine learned representations with domain-informed structure or inductive biases - Optimize training pipelines for efficiency, stability, and scalability across many-GPU clusters - Develop and apply inference optimization techniques to support deployment in interactive discovery workflows - Design and maintain benchmarking and evaluation frameworks that track model quality across modalities and downstream tasks - Collaborate with ML and software engineering colleagues to deploy and operationalize models - Partner with computational chemists, medicinal chemists, and biologists to ensure model development is grounded in drug discovery needs - Communicate results to internal teams, external partners, and at conferences - Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity - Depending on level: - Mentor interns and junior team members through technical guidance, code reviews, and best practices in ML experimentation - Contribute to the strategic research roadmap for Enchant and related multimodal technologies Qualifications - Required: - MS in ML/CS or a computational STEM field with relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth - Strong Python and PyTorch experience, including implementing and training deep learning models end-to-end - Demonstrated experience training transformer models at scale - Strong engineering habits: reproducible experimentation, clean code, testing, and performance-minded debugging - Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases) - Desired: - Experience with multimodal or multi-task model architectures - Training and inference optimization (e.g., mixed precision, kernel optimization, quantization, distributed strategies) - Familiarity with biomedical, chemical, or biological data domains - Distributed training at scale - HPC or large-scale training operations experience Location - Remote (US or UK) - On-site available in Bristol, UK and Boston, US Benefits - Industry leading competitive pay - Company paid healthcare - Flexible spending accounts - Voluntary life insurance - 401K matching - Uncapped vacation - Brand-new state-of-the-art facility in beautiful San Diego with an onsite gym and dining - Easy access to great places to live and play

• Implement ML standards, processes and best practices • Collaborate with stakeholders to identify and plan for enterprise ML portfolio needs • Guide ML team members on their deliverables and activities • Translate complex requirements into well-scoped machine learning projects • Develop machine learning applications according to requirements • Ensure machine learning solutions are scalable to meet enterprise requirements • Work closely with data scientists and data engineers to guide development of machine learning models • Create metrics to continuously evaluate the performance of machine learning solutions • Extend existing machine learning libraries and frameworks as needed • Execute own project tasks with urgency and to a high level of quality • Communicate status clearly and effectively using departmental project management tools • Follow time-tracking and other project management requirements • Participate actively in project meetings, stand-ups, etc. • Serve as technical lead for moderately complex projects, collaborating with project managers to ensure project scope/risk/budget/etc. are adequately managed • Lead project meetings and workgroups