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Machine Learning Engineer - ML Ops

February, 28

  • usaSF (Bay Area), Seattle, NYC, or Austin
  • usaFull-time
  • usaEngineering
  • usaRemote
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Overview: - Machine Learning Engineer role at Regrello, a startup focused on reimagining automation in supply chains. - Bridges the gap between Machine Learning Researchers and Software Engineers. - Leads the productionalization of a novel deep learning model for processing large, complex tabular datasets. - Contributes to advancing manufacturing practices globally. Key Responsibilities: - Manage AI model deployment for solving real-world supply chain and manufacturing problems. - Collaborate with cross-functional teams to build high-quality product features. - Take on new challenges and responsibilities as needed. - Participate in hiring decisions and contribute to a culture of continuous learning and growth. Requirements/Skills/Qualifications: - Bachelor's degree in Computer Science or Software Engineering with a 3.5+ GPA. - 3+ years of industry experience in architecting MLOps pipelines for Deep Learning models. - Strong understanding of distributed multi-node GPU environments. - Experience with data engineering technologies (Airflow, Spark, Trino, Flink, BigQuery). - Familiarity with Python, PyTorch, Tensorflow, or JAX. - Excellent written and verbal communication skills. - Strong desire to learn, grow, and drive impact on global problems. Compensation & Benefits: - Competitive salary range of $165,000 - $220,000 annually, based on experience, qualifications, and location. - Equity in the startup. - Health insurance (medical, dental, vision) and generous paid time off.
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