Machine Learning Engineer

March 19

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Logo of Neural Magic

Neural Magic

machine learning β€’ deep learning β€’ artificial intelligence

11 - 50

Description

β€’ Use your understanding of machine learning to tackle meaningful technical problems β€’ Collaborate with research and product development teams to build machine learning products β€’ Prototype and implement appropriate ML algorithms, tools, and pipelines β€’ Create and manage training and deployment pipelines β€’ Collaborate with a cross-functional team about market requirements and best practices β€’ Keep abreast of developments in the field

Requirements

β€’ Proven experience as a machine learning engineer or similar role β€’ Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc β€’ Knowledge of common ML frameworks (like PyTorch or Keras) and libraries (like NumPy and scikit-learn) β€’ Strong programming skills with proven experience implementing Python-based machine learning solutions β€’ Experience with engineering and supporting ML pipelines in a popular ML framework such as PyTorch, TensorFlow, jax, etc. β€’ Experience with engineering and maintaining training and/or deployment pipelines for Generative models / NLG / LLMs β€’ Ability to interpret and implement research ideas and algorithms β€’ Creative, collaborative, and innovation-focused β€’ Strong sense of project ownership and personal responsibility β€’ Bachelor's in Computer Science, Mathematics or similar field

Benefits

β€’ Health Care Plan (Medical, Dental & Vision) β€’ Retirement Plan (401k, IRA) β€’ Paid Time Off (Vacation, Sick & Public Holidays) β€’ Family Leave (Maternity, Paternity) β€’ Short Term & Long Term Disability β€’ Training & Development β€’ Work From Home β€’ Free Food & Snacks β€’ Wellness Resources β€’ Stock Option Plan

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