Dice
Machine Learning Compute Infrastructure Engineer
Dice, Seattle, Washington, us, 98127
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Walkwater Technologies, is seeking the following. Apply via Dice today!ROLE
ML Compute Infrastructure EngineerLOCATION
Cupertino or SeattleRATE
We can pay on C2C or 1099MAIN SKILLS
ML frameworks experience (PyTorch, JAX), Performance analysis and optimization experience in Cloud accelerators, Data analysis using SQLWe are seeking a highly motivated and experienced software engineer to join our team. The ideal candidate will have a deep understanding of machine learning algorithms and cloud computing infrastructure.Responsibilities
Support ML efficiency metrics analysis and improvements on ML compute platformsAnalyze user workload metrics to identify sources of inefficiencies and reach out to users to understand workloads and help optimizeDocument best practices and report back user outreach resultsExcellent time management and organizational skills and experience establishing guidelines in these areas for othersExperience working in a high-level collaborative environment and promoting a teamwork mentalityOutstanding communication and presentation skills, written and verbal, to all levels of an organizationTop 2-3 skills you will be looking for when you review resumes?
Performance analysis and optimization experience in Cloud acceleratorsML frameworks experience (PyTorch, JAX)Data analysis using SQLAnything that would automatically disqualify a candidate?
Poor coding abilityPoor organization, communication, focus
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ML Compute Infrastructure EngineerLOCATION
Cupertino or SeattleRATE
We can pay on C2C or 1099MAIN SKILLS
ML frameworks experience (PyTorch, JAX), Performance analysis and optimization experience in Cloud accelerators, Data analysis using SQLWe are seeking a highly motivated and experienced software engineer to join our team. The ideal candidate will have a deep understanding of machine learning algorithms and cloud computing infrastructure.Responsibilities
Support ML efficiency metrics analysis and improvements on ML compute platformsAnalyze user workload metrics to identify sources of inefficiencies and reach out to users to understand workloads and help optimizeDocument best practices and report back user outreach resultsExcellent time management and organizational skills and experience establishing guidelines in these areas for othersExperience working in a high-level collaborative environment and promoting a teamwork mentalityOutstanding communication and presentation skills, written and verbal, to all levels of an organizationTop 2-3 skills you will be looking for when you review resumes?
Performance analysis and optimization experience in Cloud acceleratorsML frameworks experience (PyTorch, JAX)Data analysis using SQLAnything that would automatically disqualify a candidate?
Poor coding abilityPoor organization, communication, focus
#J-18808-Ljbffr