Engineering Manager, AI / ML

Job description

Multiverse Computing Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. Our flagship products, CompactifAI and Singularity, address critical needs across various industries: CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems--such as language models--to make them significantly more efficient and portable. Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. You will be working alongside world-leading experts to develop solutions that tackle real-world challenges. We are looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity. We are committed to building a truly inclusive culture - come and join us. Job Overview We are seeking a skilled and experienced Manager with a strong technical background in data science or AI to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of AI technologies. As a Manager, you will Lead an international team of engineers to develop and deliver cutting-edge solutions to the hardest industry problems for our top-tier clients. Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used. Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will: Develop comprehensive project plans, including timelines, resource allocation, and risk assessments. Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum. Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment. Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions. Develop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation. Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges. Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities. Demonstrate an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions. Contribute to the tech strategy providing clients and technology insights Required Minimum Qualifications Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. 2+ years of successful project management experience in leading and managing engineering teams in a technology-driven company. 3+ years of hands-on experience with data science, Generative AI, deep learning (e.g., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non-academic environment. Proven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud-based production environments. Proven experience with LLM models, including fine-tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques. Excellent command of Python, Docker and Git. Experience with GitHub/Gitlab workflows and functionalities. Solid understanding of agile development methodologies and best practices. Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively. Exceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships. Solid organizational and time-management skills, coupled with a keen eye for detail. Perfect command of Spanish and English. Preferred Qualifications Ph.D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. Experience with deep learning model compression techniques and inference optimization engines (TensorRT, vLLM, etc.). Experience in the evaluation of Generative AI systems on real live data. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. We offer work visa sponsorship (if applicable). Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options. A high-performance, collaborative environment, operating at pace on cutting-edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.