Machine Learning Engineer

Responsibilities:

• Adapt standard machine learning methods leveraging modern parallel environments (e.g. 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:

• 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
• 2+ 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
• 5+ 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