Senior Machine Learning Engineer

HP; Spring (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Flexible spending account

Parental leave

Paid holidays

Job summary

HP is seeking a Senior Machine Learning Engineer to design, develop, and implement cutting-edge ML models. You will collaborate with cross-functional teams to transform data into actionable insights by selecting, training, and optimizing algorithms for robust production systems.

You will ensure models are trained, validated, and optimized for performance, and you will manage data pipelines, monitoring, and scalable data operations across distributed environments.

Qualifications

• Bachelor’s or higher degree in Computer Science, Statistics, Mathematics, Data Science or related field.
• Typically 7–10 years of work experience in ML, algorithms, or related area.

Responsibilities

• Architects, develops and programs ML solutions supporting model lifecycle.
• Builds data pipelines and monitoring in distributed environments.
• Defines data collection protocols and develops, trains and evaluates models.
• Optimizes scalable data operations to drive ML product improvements.
• Collaborates with analytics to translate data needs into ML solutions.
• Integrates models into production with DevOps and automated deployment.
• Monitors delivery of AI/ML solutions and communicates results.
• Participates in cutting-edge AI/ML research and stays current.
• Manages compute cluster hosting and resource planning.

Skills

Python

PyTorch

Kubernetes

AWS

CUDA

NLP

Machine Learning

Big Data

vLLM

RAG

Software Engineering

Attention to detail

Communication

Education

Four-year or graduate degree in CS/Statistics/Data Science

Tools

Kubernetes

PyTorch

AWS

CUDA

Job description

Senior Machine Learning Engineer

Description -

Job Summary

This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance.

Responsibilities

• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
• Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
• Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
• Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
• Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.
• Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.
• Participates in cutting-edge research in artificial intelligence and machine learning applications.
• Stays up-to-date with the latest advancements in machine learning and related technologies.
• Manages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Certifications

• AWS Certified Machine Learning Specialty or equivalent

Knowledge & Skills

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

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 and may participate in cross-functional initiatives.

Complexity

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

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Pay & Benefits

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 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/

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation -

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier