Senior Machine Learning Engineer

Design, build, and productionize machine learning solutions that improve business processes and customer outcomes.

Responsibilities

• Architect, develop, and program integrated software solutions supporting the development, deployment, and full life cycle of machine learning models
• Build and maintain robust data pipelines and monitoring systems in distributed computing environments
• Define data collection protocols and analyze data sources
• Develop, train, and evaluate machine learning models
• Create visualizations for data properties and model performance
• Establish and optimize scalable, large-scale data operations to improve ML products
• Partner with business and analytics teams to translate data requirements into technical solutions using machine learning principles
• Work with DevOps teams to integrate models into production systems and automate deployment processes
• Validate, communicate, and monitor delivery of customer requirements for AI/ML solutions
• Participate in cutting-edge research across artificial intelligence and machine learning applications
• Stay current with the latest advances in machine learning and related technologies
• Manage and maintain the compute cluster environment for hosting and serving machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support

Requirements

• Education: Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline (or commensurate work experience/demonstrated competence)
• Experience: Typically 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field

Technologies

• AWS Certified Machine Learning Specialty
• C++, CUDA
• Kubernetes
• Python
• PyTorch
• GenAI
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• vLLM
• LLM Eval
• LLMOps
• Model Quantization
• Natural Language Processing

Preferred Certifications

• AWS Certified Machine Learning Specialty or equivalent

Knowledge & Skills

• AI/ML Inference Infrastructure
• Agile Methodology
• Algorithms
• Artificial Intelligence
• Automation
• Big Data
• Deep Learning
• GenAI
• Infrastructure Monitoring and Observability
• LLM Eval
• LLMOps
• Machine Learning
• Model Quantization
• Natural Language Processing
• Retrieval-Augmented Generation (RAG)
• Software Engineering
• Vector Databases
• vLLM
• C++ and Python (programming languages)
• CUDA
• PyTorch
• Computer Science and Data Science

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams
• May participate in cross-functional initiatives

Complexity

• Works on complex problems where analysis of situations or data requires in-depth evaluation of multiple factors

Pay & Benefits

• Salary range: $147,050 to $230,850 USD annually
• Additional pay: bonus and/or equity opportunities (United States of America candidates only)
• Pay varies by: work location, job-related knowledge, skills, and experience
• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave
• US benefits overview: https://hpbenefits.ce.alight.com/

Job, Location, and Schedule

• Job type: Software
• Location: Spring, TX (onsite)
• Schedule: Full time
• Shift: No shift premium (United States of America)