Red hat Software Engineer 

United States, Massachusetts, Boston 

781500919

What you will do:

• Be an influencer and leader in MLOps and Explainable AI, Fairness & Bias related open source communities to help build an active MLOps open source ecosystem for Open Data Hub and OpenShift AI

• Contribute to developing and integrating model fairness and bias metrics and explainable AI algorithms in OpenShift AI product

• Act as an Explainable AI SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practices

• Research and design new features for open source MLOps communities such as KServe and TrustyAI

• Collaborate with our product management and customer engineering teams to identify and expand product functionalities

• Mentor, influence, and coach a team of distributed engineer

What you will bring:

• Strong research and development experience in Explainable Artificial Intelligence (XAI) with a focus on Large Language Models (LLMs), model-agnostic interpretability methods, bias detection and mitigation, and metrics for assessing fairness, transparency, and interpretability in the complex AI models.

• Recent hands on experience in deploying and maintaining machine learning models in production environments with respect to explainable AI

• Technical leadership acumen

• Passion for writing and maintaining reliable code

• Hands on experience in Kubernetes

• Comfortable working in a distributed remote team environment

• Excellent written and verbal communication skills; good English language skills

The following will be considered a plus:

• Bachelor's degree in statistics, mathematics, computer science, or a related quantitative field, or equivalent expertise; Master’s or PhD in Machine Learning or NLP is a big plus

• Experience in engineering, consulting or another field related to model serving and monitoring, model registry, explainable AI, deep neural networks, in a customer environment or supporting a data science team

• Highly experienced in Kubernetes and/or OpenShift

• Advanced level knowledge and experience in Python, Java, or Go

• Familiarity with popular python machine learning libraries such as PyTorch, Tensorflow, Scikit-Learn, and Hugging Face

The salary range for this position is $104,080.00 - $166,320.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave