Summary: System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Responsibilities include working with deep learning codebases that support training cutting-edge AI/ML models creating high quality results, and bringing the latest research advancements to Meta 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. Key Projects / Day-to-Day Responsibilities Engineer, design, implement, and improve cutting-edge 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 Must Have Skills 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models. Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++. Core Education: Degree in Computer Science, Computer Engineering, or a relevant technical field.

Nice to Have

Skills Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open-source/GitHub contributions. Education Bachelor Degree in Computer Science, Computer Engineering or relevant Technical field is required. PHD or advanced degree preferred Seeking highly motivated candidates who are straight out of college with an of ML related degree. Hiring team does not want to see candidates with more than 1 year of experience. In this case, please do not include cover pages or supplier summaries. The hiring team would strictly like to see the candidate's resume and a 2-3 line candidate-written paragraph explaining a ML project that they've worked on. Do not exceed 2-3 lines or include additional recruiter summaries. ** Remote - EST is ideal, but not required EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”