Machine Learning Engineer

We seek an experienced Machine Learning Software Engineer with a strong background in AI model development with Python and deep learning frameworks, especially PyTorch and TensorFlow. The candidate must have extensive experience in deep learning model selection, training and evaluation, as well as in statistics, probability theory, and linear algebra. Prior experience in AI safety, reliability, and/or uncertainty quantification is preferred but not required.

This is primarily a hybrid/in-person role in Cambridge, MA, but remote candidates may be considered. The candidate must be authorized to work in the United States, and may be expected to participate in some occasional work travel, which could be domestic or international.

Responsibilities:

• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
• Be a go-to person to escalate the most complex online/production performance and evaluation issues that require an in-depth knowledge of how the machine learning system interacts with systems around it
• Be a team player and a positive influence within the engineering team culture

Qualifications:

• MSc in Computer Science and 4+ years of ML industry experience 
• Strong publication record and/or project portfolio with prior works in ML model design, training, optimization and/or evaluation
• Strong knowledge of best practices in ML model development 

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