Understanding Recruitment ยท 2 days ago
Machine Learning Engineer - Distributed Systems
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Responsibilities
Design and Implement robust and efficient systems for executing machine learning tasks on decentralized infrastructures.
Optimize Algorithms to continuously enhance the performance and efficiency of ML training processes.
Innovate by developing advanced methods and algorithms to address the challenges in distributed ML training.
Collaborate and Ensure reproducibility in training processes across various ML domains.
Contribute your expertise to technical reports and publications, influencing the broader ML community.
Qualification
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Required
Proven Expertise in parallelizing model training across a range of hardware and network configurations.
Advanced Skills in creating training systems for large-scale clusters using diverse parallelization models and optimization techniques.
Deep Knowledge of networking protocols and communication backends essential for distributed systems.
Strong Foundation in computational complexity, algorithms, and data structures.
Experience working autonomously in research environments with a high degree of collaboration.
Proficiency in Rust and significant involvement in major open-source projects as a maintainer or key contributor.
Preferred
Published Research in distributed systems or machine learning.
Familiarity with blockchain technologies.
Company
Understanding Recruitment
Understanding Recruitment is a consulting firm that expertise in machine learning, artificial intelligence, software and digital staffing.
H1B Sponsorship
Understanding Recruitment has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Growth StageRecent News
Recruiter
2023-12-28
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