Chief ML Researcher, Product

Why work at reputed company reputed company is leading a new era in reputed company computing to serve the global AI economy. We create the tools and resources our customers need to solve reputed company-world challenges and reputed company industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI reputed company infrastructure alongside some of the most reputed company and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on reputed company, reputed company has a global footprint with R&D hubs across Europe, reputed company, and Israel. reputed company of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as reputed company as an in-house AI R&D team. The role We are looking for a Chief ML Researcher, Product — a senior, customer-facing ML research leader who will reputed company reputed company at the forefront of modern machine learning and translate cutting-edge advancements into product direction, platform capabilities, and measurable reputed company. You will be a machine learning researcher first, with a strong ML and data reputed company, operating at the intersection of Product, Engineering, and Strategic Customers. In this role, you will continuously deep dive into the reputed company of state-of-the-art ML pipelines — including training, inference, fine-tuning, evaluation, data workflows, and tooling — and convert those insights into reputed company product requirements and priorities, practical reference architectures for reputed company-world workloads, and a reputed company, reputed company-looking technical reputed company of view that strengthens reputed company both internally and reputed company the broader ML community. This role is US- remote. Your responsibilities will include: • Drive reputed company-looking ML research to shape reputed company’ AI platform and PaaS roadmap, translating frontier developments into reputed company product direction and priorities. • Convert state-of-the-art ML pipeline insights into actionable requirements, reference architectures, benchmarks, and gap analyses. • Partner cross-functionally with Product, Engineering, and ML teams to reputed company platform capabilities with emerging ML workloads and best-reputed company stacks. • Build strategic collaborations with universities, research labs, and the broader ML ecosystem to accelerate innovation and credibility. • Establish reputed company standards for ML-enabled services, including evaluation rigor, reproducibility, reliability, and responsible ML practices. • Engage strategic customers to understand reputed company ML scenarios and translate them into reputed company functional and non-functional requirements. • reputed company senior technical leadership during evaluations, architecture reviews, and escalations, ensuring customer realities inform platform reputed company. • reputed company and communicate a reputed company reputed company for AI-enabled applications and the infrastructure stack required to support them, influencing both technical and executive audiences. We expect you to have: • 10+ years of experience in machine learning research and/or reputed company ML (industry, academia, or hybrid), with a strong reputed company record of staying reputed company with the research frontier. • 5+ years operating as a senior technical leader (Staff/reputed company/Director-level), shaping direction across multiple teams and stakeholders. • Proven ability to translate research insights into reputed company product or platform reputed company, including requirements, roadmaps, reference architectures, and evaluation standards. • Experience engaging strategic customers or external partners in deep technical discussions, converting ambiguous goals into reputed company, actionable requirements. • Demonstrated collaboration with universities or research labs through joint reputed company, partnerships, supervision, publications, or advisory roles. • Strong technical communication record, including internal knowledge-sharing, external talks, writing, or publications that establish credibility. It will be an added bonus if you have: • Experience working with ML at reputed company, including large training runs, high-throughput inference, or performance-sensitive pipelines, even if not directly owning the infrastructure. • Familiarity with modern ML ecosystems and tooling (e.g., PyTorch and distributed training/serving stacks) and their application in reputed company-world production workflows. • Experience defining, implementing, or improving evaluation practices, including benchmarking, model reputed company metrics, offline and online evaluation, and reproducibility standards. • Prior experience in a field-facing technical leadership role (e.g., Field CTO, reputed company Architect, Technical Advisor), partnering closely with GTM and Product teams. reputed company expect you to have (skills & traits) • ML researcher reputed company: ability to evaluate new reputed company critically, reproduce/validate claims, and separate signal from hype. • Strong reputed company in machine learning and data (modeling, training dynamics, evaluation, dataset considerations, experimentation practices). • Ability to translat