Senior Machine Learning Engineer: AI Innovation & Scale

Socket.dev; Houston (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off and parental leave

Job summary

HP, Inc. is seeking an experienced ML Engineer to design, develop, and deploy cutting‑edge machine learning models that solve complex business problems.

You will collaborate with cross‑functional teams to transform data into insights, selecting, training, and optimizing algorithms for production use. The role involves building data pipelines, maintaining scalable ML infrastructure, and working with DevOps to automate deployment while staying current with AI advances.

Qualifications

• Four-year or graduate degree in CS/Stats/Data Science or related field.
• 7–10 years of experience in programming, ML, algorithms or related area.
• AWS Certified Machine Learning Specialty or equivalent preferred.

Responsibilities

• Architect, develop, and program ML software solutions across the model lifecycle.
• Build data pipelines and monitoring systems in distributed environments.
• Define data collection protocols; train, evaluate, and visualize models.
• Establish scalable data operations to improve ML products.
• Translate data requirements into technical ML solutions with analytics teams.
• Collaborate with DevOps to deploy models in production and automate delivery.
• Validate and monitor AI/ML delivery to meet customer needs.
• Participate in cutting-edge AI/ML research and stay updated on advances.
• Manage compute clusters for hosting models, including capacity planning.

Skills

ML algorithms

Python

PyTorch

Kubernetes

Data pipelines

Model deployment

Education

Bachelor's or MS in CS/Stats/Data Science

Tools

AWS

Docker

Kubernetes

AWS SageMaker

Job description

HP, Inc. is seeking an experienced ML Engineer to design, develop, and deploy cutting‑edge machine learning models that solve complex business problems.

You will collaborate with cross‑functional teams to transform data into insights, selecting, training, and optimizing algorithms for production use. The role involves building data pipelines, maintaining scalable ML infrastructure, and working with DevOps to automate deployment while staying current with AI advances.