Red hat Senior Machine Learning Research Engineer 

United States, Massachusetts, Boston 

910265598

We are looking for a Senior Machine Learning Research Engineer with a strong research background and hands-on experience in building and optimizing deep learning models. In this role, you will explore and develop cutting-edge techniques in model compression, including pruning, quantization, knowledge distillation, and speculative decoding. You will help design and evaluate novel algorithms that bridge theory and real-world deployment.

Your Role and Responsibilities

As a core member of our ML research team, you will:

• Design and conduct experiments to evaluate model compression strategies for large-scale deep learning models.

• Develop scalable and modular research code in Python.

• Work closely with software engineers and product teams to translate research into deployable systems.

• Explore emerging techniques in efficient inference and help define future directions for model optimization.

• Collaborate on publications in top-tier ML/AI conferences and contribute to open-source initiatives.

• Benchmark models across hardware configurations, contributing to the broader understanding of how model optimizations affect performance in real-world deployment scenarios.

• Participate in reading groups, internal workshops, and mentoring activities.

Required Qualifications

• PhD in Machine Learning, Computer Science, Electric Engineering, Applied Mathematics, or a related field.

• Strong foundation in machine learning algorithms and numerical optimization.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Strong analytical and problem-solving skills.

• Experience with experimental design and empirical research, including model evaluation and benchmarking.

• Excellent written and verbal communication skills, including the ability to explain complex ideas to a technical audience.

Preferred Qualifications

• Familiarity with model compression techniques such as quantization, pruning, knowledge distillation, or speculative decoding.

• Experience contributing to open-source machine learning projects.

• Experience optimizing model performance for inference efficiency, particularly on GPUs or specialized accelerators.

• Publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR).

• Comfortable navigating large codebases and collaborating in a research-oriented engineering team.

What We Offer

• A dynamic and intellectually stimulating environment with opportunities to shape the future of efficient ML systems.

• A collaborative team that values curiosity, creativity, and impact.

• Support for academic engagement (publishing, conference travel, workshops).

• Access to high-performance computing resources and state-of-the-art ML infrastructure.

• Comprehensive benefits, flexible work arrangements, and opportunities for career growth.

The salary range for this position is $170,770.00 - $281,770.00. 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