Senior Machine Learning Engineer

Red Hat • Boston, MA

1d • Remote

About The Position

The Machine Learning Engineer exercises good judgment and is responsible for working independently with minimal instruction to prioritize work and resolve moderately complex issues. This role builds, optimizes, and scales machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. Collaboration with cross-functional teams ensures successful project outcomes. Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.

Requirements

• Senior Machine Learning Engineer
• exercises good judgment
• working independently with minimal instruction
• prioritize work
• resolve moderately complex issues
• builds, optimizes, and scales machine learning models
• contributing to innovative AI-driven solutions
• assisting users in understanding ML predictions
• Collaboration with cross-functional teams
• manipulate (i.e. optimize) model training and model serving frameworks
• Engineer features from raw data, including unstructured formats, to enhance model effectiveness
• Experiment with algorithms to select the most effective ones for project objectives
• Use advanced metrics to validate model performance and improve reliability
• Algorithmic and System level optimizations for inference
• Building reliable production model serving platform supporting a variety of accelerators
• Lead technical design discussions and training to other engineers
• Troubleshoot complex production issues involving ML

Nice To Haves

• This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.

Responsibilities

• Ability to manipulate (i.e. optimize) model training and model serving frameworks.
• Engineer features from raw data, including unstructured formats, to enhance model effectiveness.
• Experiment with algorithms to select the most effective ones for project objectives.
• Use advanced metrics to validate model performance and improve reliability.
• Algorithmic and System level optimizations for inference.
• Building reliable production model serving platform supporting a variety of accelerators.
• Lead technical design discussions and training to other engineers
• Troubleshoot complex production issues involving ML

Benefits

• 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
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees