Our Client, an Internet Content & Information company, is looking for a Systems / ML Engineer for their Remote location. Responsibilities: + 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. + 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 Requirements: + Degree in Computer Science, Computer Engineering or relevant technical field + 5+ years experience with deep learning + Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C+ + + Demonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) + Experience in open-source development + Pytorch + Machine Learning + Python + 5-10 years of experience. + Computer Science / Engineering degree. + 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 + Distributed training for ML models + Building Open Source Libraries for Machine Learning + Experience with Machine Learning Research, publishing papers Why Should You Apply? + Health Benefits + Referral Program + Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.