Principal Machine Learning Engineer

Posted 1mo ago

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Drive an innovative vision for products and platforms
Design and launch strategic machine learning (ML) solutions
Drive business-wide innovation
Lead the end-to-end software development lifecycle
Lead technical discussions and strategy
Participate hands-on in design reviews, code reviews, and implementation
Craft high-performance, production-ready machine learning code
Extend existing ML libraries and frameworks
Lead solutions to accelerate model development, validation and experimentation cycles
Integrate models and algorithms in production systems at a very large scale
Mentor and develop other engineers on the team
Establish technical direction
Foster team culture
Uphold the highest standards of technical rigor
Build highly resilient and scalable systems
Champion operational and process improvements

Degree in mathematics/computer science or related discipline
12+ years of experience in the complete software development lifecycle
7+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java
5+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud)
Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.)
Experience as a mentor, tech lead or leading an engineering team
Adept at tackling highly complex, ambiguous or undefined problems

MS or PhD in Computer Science or equivalent experience in ML
Experience dealing with real world large-scale datasets
Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models
Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA

Skills