Platform Science Jobs in Houston, TX (NOW HIRING)

We are a dynamic centralized platform team dedicated to harnessing cutting‑edge AI/ML technology, particularly in the realm of Generative AI and large language models, to empower HP and drive innovation. Collaborating closely with various business units, we provide strategic advice, prototype solutions, and develop and manage software applications tailored for internal use.

Days split roughly evenly between hands‑on building and collaboration/enablement, driven by a mix of roadmap work and incoming requests. Expect to shift context often.

• Building (largest share of the day): internal platform tools and services—self‑service portals/workbenches, backend APIs (Python/FastAPI), automations and CI/CD tooling, MCP/gateway integrations and AI‑enabled automations and flows; focus is on reducing friction for teams adopting the platform.
• Cloud infrastructure & troubleshooting (weekly): writing and maintaining Terraform; provisioning and configuring platform resources across AWS and Azure, diagnosing deployment, networking, endpoint, and configuration issues; enough depth to reason about deployments and partner with security/networking specialists.
• Collaboration & enablement (about half the day): stand‑ups, syncs, and planning/project meetings; design and architecture reviews; regular PR and code review; onboarding new teams; translating ambiguous requirements into practical plans and challenging weak designs.
• Model deployment support (recurring): helping teams productionize models‑hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.
• Docs & platform improvement (ongoing): documentation, onboarding guides, and reference examples; ad‑hoc process and platform improvements—spotting and fixing rough edges proactively.

In short: a builder‑first role with a strong collaborative and enablement component—someone who moves fluidly between writing code, reviewing work, troubleshooting infrastructure, and guiding architectural decisions.

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.

• AWS Certified Machine Learning Specialty

• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit‑learn (Machine Learning Library)
• Software Engineering
• TensorFlow

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

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.

• 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/

• Software – Schedule: Full time
• Shift: No shift premium (United States of America)
• Travel: No
• Relocation: No

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 status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.