Homeoffice 56889-1 - Software Engineer IV, Machine Learning chez Dtljobs
Dtljobs · US - California (Remote PST), États-Unis d'Amérique · Remote

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Sponsorisé par OysterSoftware Engineer IV, Machine Learning
Job Description:
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
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.
Minimum Qualifications:
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
Preferred Qualifications:
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
Top 3 Skillsets:
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across team
Experience with scripting languages such as Pytorch and TF
Masters degree or PhD in Computer Science or another ML-related field