Machine Learning Engineer

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Our Client, an Internet Content and Information company, is looking for a Machine Learning Engineer for their Menlo Park, CA/Remote location.
Responsibilities: Adapt standard machine learning methods leveraging modern parallel environments ( distributed clusters, multicore SMP, and GPU) Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Suggest, collect and synthesize requirements from XFN teams Code deliverables in tandem with the engineering team
Requirements: + years of experience in software engineering or a relevant field. + years of experience if you have a PhD + years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Experience building and shipping high quality work and achieving high reliability Track record of successful cross-functional partnerships Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience + years of consistent industry-level experience working with Machine Learning Engineer, AI, GenAI Masters degree or PhD in Computer Science or another ML-related field Exposure to architectural patterns of large scale software applications Experience with scripting languages such as Pytorch and TF C++ Preferred Former Client or big tech company Candidates with limited ML knowledge but extensive backend software engineering experience. People managers with no hands-on ML experience. Candidates who focus on Eng tooling development or partnership rather than ML. Those who cannot justify the use of specific ML techniques or tie them to concrete projects. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field,or equivalent practical experience - Required Masters degree or PhD in Computer Science or another ML-related field - Preferred
Why Should You Apply? Excellent growth and advancement opportunities
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Location:
Menlo Park

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