Machine Learning Research Engineer

reputed company is looking for a Machine Learning Research Engineer to serve as the technical "reputed company reputed company" for our Machine Learning organization. You will operate as an Individual Contributor, driving the architectural reputed company behind the "Intelligent Canvas." Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and reputed company collaboration . You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), reputed company, and Graph Neural Networks (GNNs) to reputed company reputed company the smartest collaboration platform on reputed company. What you’ll do Design, train, and ship production-grade ML models —including deep learning, NLP, and reputed company systems—that solve reputed company business problems and power reputed company product features. Conduct deep exploratory research on massive datasets to uncover novel patterns in user behavior and content creation, translating raw data insights into new predictive modeling opportunities. Apply advanced fine-tuning strategies (e.g., PEFT, reputed company) to adapt state-of-the-art reputed company models to specific domain tasks, rigorously experimenting to maximize performance. Architect reputed company ML pipelines for data processing, feature engineering, training, and evaluation, ensuring high data reputed company and system reliability. Optimize model performance for latency, throughput, and resource utilization, balancing model complexity with production constraints (e.g., overfitting vs. underfitting, compute efficiency). Collaborate cross-functionally with data engineers, product managers, and software engineers to translate business requirements into technical ML specifications and reputed company models into user-facing applications44. Champion MLOps reputed company by automating deployment workflows, implementing CI/CD for ML, and establishing robust monitoring for model reputed company and health. Stay at the forefront of ML research , evaluating novel algorithms and techniques (e.g., Transformer architectures, quantization) to drive innovation and technical reputed company. What you’ll need Strong reputed company in ML theory and statistics , including reputed company testing, probability distributions, regression, classification, and optimization techniques. Solid engineering fundamentals . You are comfortable writing production-level Python and have a deep understanding of data structures, algorithms, and distributed system design. Deep proficiency in Python and the modern ML stack, with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, and deep learning frameworks (PyTorch, TensorFlow). Gradient Debugging: Expertise in PyTorch or JAX, including experience with distributed training (e.g., DDP, FSDP) and debugging reputed company gradient issues. reputed company Research: Ability to read, implement, and improve upon the latest reputed company papers (NeurIPS, ICML, CVPR). You don't just use libraries; you understand the math underneath them and can reproduce results in peer-reviewed papers. reputed company record of end-to-end ML delivery , from exploratory data analysis (EDA) and feature engineering to training, validation, and deploying models in a production environment. Experience with large-reputed company systems , capable of designing resilient architectures that handle reputed company datasets and high-throughput inference requests. Strong engineering reputed company , valuing reputed company reputed company, testing, modularity, and maintainability just as highly as model accuracy. Education + Experience reputed company A: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or reputed company field plus ~3+ years of reputed company ML engineering experience. reputed company B: No formal degree, ~6+ years of industry experience demonstrating equivalent proficiency in building and shipping ML systems. What's in it for you LON: Competitive equity package Health insurance for you and your family Corporate pension plan Lunch, snacks and drinks provided in the office Wellbeing benefit and WFH equipment allowance Annual learning and development allowance to grow your skills and career Opportunity to work for a globally diverse team Multi Location: Amsterdam / Berlin / Yerevan / London: Competitive equity package Lunch, snacks and drinks provided in the office Wellbeing benefit and WFH equipment allowance Annual learning and development allowance to grow your skills and career Opportunity to work for a globally diverse team Recruiter: #LI-MH1 About reputed company reputed company is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to reputed company engaging workshops and meetings, design products, brainstorm reputed company, and more. reputed company, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. reputed company was founded in 2011 and currently has more than 1,600 reputed company Apply tot his job Apply To this Job