Descripción de la oferta
Multiverse is a well‑funded and fast‑growing deep‑tech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. We provide hyper‑efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Our main products, Singularity and CompactifAI, address critical needs across various industries. Singularity remains a trusted solution for blue‑chip companies in finance, energy, manufacturing, cybersecurity, and more. CompactifAI, on the other hand, is a groundbreaking compression tool for foundational models based on Tensor Networks. With CompactifAI, one can compress AI systems, such as large language models, to make them more efficient and portable. You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture – come and join us. As an Engineering Director – Product, you will Lead and manage multiple engineering teams focused on model development, evaluation, and related activities, ensuring high performance, collaboration, and delivery excellence. Drive strategic planning and execution of machine learning model development and evaluation initiatives, aligning outcomes with company goals and product vision. Influence and provide visibility to decision makers on modelling trends, research directions, and data‑driven insights to help define strategic product priorities. Coordinate cross‑functionally with Research, Platform, Marketing, Leadership, and other collaborators to ensure integrated execution across model lifecycles and downstream product applications. Define and implement best practices in model experimentation and evaluation methodologies to ensure scalable and reproducible results. Develop comprehensive project plans, including milestones for model releases, evaluation benchmarks, resource allocations, and risk assessments. Monitor project timelines, technical risks, and resource allocation across teams to maintain delivery excellence. Establish, maintain, and evolve evaluation and analytics systems that measure and improve model accuracy, reliability, throughput, and fairness. Report on engineering progress, research insights, and strategic needs to senior leadership; communicate technical findings clearly to both technical and non‑technical stakeholders. Demonstrate a data‑driven and customer‑centric focus in decision making, ensuring solutions are grounded in measurable outcomes and user impact. Evaluate and make key technical decisions, including trade‑offs between model complexity vs. efficiency, internal vs. external datasets, and experimental vs. production‑ready approaches to align with company objectives. Mentor engineering managers, technical leads, and other developers, fostering professional growth, technical depth, and cross‑team collaboration. Required Qualifications Master’s degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field; or equivalent industry experience. 8+ years of hands‑on experience in software engineering, data science, or other relevant engineering domains, including model development or analytics. 2+ years of successful leadership experience managing engineering or data‑focused teams in a technology‑driven environment. Solid understanding of modern ML development pipelines, data science practices, and model evaluation frameworks. Exposure to product management, with a strong understanding of lifecycle planning and cross‑functional coordination. Demonstrated experience delivering high‑quality analytical or model‑based products on time and within scope. Excellent leadership skills with the ability to motivate, guide, and develop diverse technical teams effectively. Strong organizational and time‑management skills, coupled with a keen eye for analytical and technical detail. Exceptional communication with a perfect command of English. Preferred Qualifications PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience with Large Language Models and other advanced ML architectures; techniques including fine‑tuning, evaluation, or benchmark design. Experience designing and maintaining model evaluation frameworks, including automated benchmarking and performance tracking. 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. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture. 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. #J-18808-Ljbffr
