Machine Learning (ML) Engineer - HP Digital Products Team

Machine Learning (ML) Engineer - HP Digital Products Team

Description -

HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works. At HP, the future is yours to create!

The Digital Products team is responsible for the design, build, and deployment of world class AI enabled products and solutions that empower a future ready workforce, drive efficiencies via automation and support implementation of newer business operating models for HP’s business. With a focus on Innovation, the group drives differentiation with architectural vision to consolidate, accelerate and simplify new technology adoption and deliver high value solutions that solve the pain points of all its stakeholders.

Role Overview:
We are seeking a Machine Learning Engineer to design, develop, and deploy AI/ML models that power innovative digital products. You will collaborate closely with AI Solutions Architects, Domain Solution Architects, Full Stack Engineers, and Product teams to ensure models are production-ready, scalable, and aligned with business objectives.

Key Responsibilities:

• Design, implement, and optimize ML models for production systems, ensuring accuracy, efficiency, and scalability.
• Collaborate with Full Stack Engineers and AI Solutions Architects to integrate ML models into applications and platforms.
• Develop and maintain data pipelines and workflows to support training, testing, and deployment of ML models.
• Evaluate and implement state-of-the-art ML algorithms and frameworks suitable for domain-specific problems.
• Monitor, troubleshoot, and improve model performance in production.
• Work with Product Managers and Data Analysts to translate business requirements into ML solutions.
• Contribute to architecture discussions, best practices, and reusable ML frameworks across the organization.
• Stay up-to-date with emerging trends and technologies in AI and ML to bring innovation into production solutions.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3–7 years of experience in ML/AI engineering, including model development and deployment.
• Proficiency in Python, R, or similar languages, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and ML deployment pipelines (MLOps).
• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Ability to work in cross-functional agile teams and communicate technical concepts effectively.

Preferred:

• Experience in deploying ML models in production at scale.
• Familiarity with containerization (Docker/Kubernetes) and microservices for ML applications.
• Prior experience in product-focused or squad-based digital engineering teams.
• Knowledge of domain-specific applications of AI (healthcare, finance, retail, etc.).

Why Join Us:
You will play a key role in building intelligent, AI-driven products that solve real-world problems. This role offers the opportunity to collaborate across product, engineering, and design teams while working at the forefront of AI and machine learning innovation.

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 and Benefits

The pay range for this role is $130,700 to $205,200 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:

HP offers a comprehensive benefits package for this position, including:

• 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 -

No

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 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.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"