Machine Learning Engineer

Job Title: Machine Learning Engineer Location: Remote Duration: 12 Months (with potential extension) Seeking a strong System / Machine Learning Engineer. Responsibilities include developing deep learning libraries that support large-scale distributed training, open-sourcing high-quality code and reproducible results for the community, and bringing the latest research to client products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting-edge technology, resources, and research facilities. Top Skill Sets: Pytorch Machine Learning Python Top Nice to Have: Building Open Source Libraries for Machine Learning Distributed training for ML models Experience with Machine Learning Research, publishing papers Experience with Python backends and APIs Experience in software design and development Minimum Qualifications Degree in Computer Science, Computer Engineering or relevant technical field 5+ years of experience with deep learning Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++ Knowledge of LLM architectures. Experience implementing ML pipelines, Pytorch proficiency, large-scale distributed GPU training, and LLM finetuning. knowledge of a wide variety model architectures and experience with profiling tools and low-level kernel debugging Good knowledge of GPU and distributed systems, as well as acceleration Responsibilities Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects Write clean and robust machine learning code