Machine Learning Engineer

Payrate: $80.00 - $92.85/hr. Summary: Company is seeking a strong Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI 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 Company 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. 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 Minimum Qualifications: • Degree in Computer Science, Computer Engineering or relevant technical field • 2+ years experience with deep learning • Experience developing machine learning algorithms in Python or C/C++ • Experience with machine learning frameworks such as PyTorch • Experience working with large datasets and data pipelines • Solid understanding of algorithms, data structures, and software engineering best practices. • Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment. • Excellent problem-solving and communication skills. Preferred Qualifications: • Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub) • Prior contributions to open-source AI/ML projects Pay Transparency: The typical base pay for this role across the U.S. is: $80.00 - $92.85/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacypolicy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting #25-22531