Machine Learning Engineer - EBP

Description -

Enterprise Operations is the business process engine that accelerates HP’s innovation and long-term growth. We transform HP digitally, resiliently, and sustainably by delivering solutions that unlock value, enable business growth, and provide agile responses to changing global dynamics. We are looking for those who embrace new ideas and technology, solve problems, and take ownership and accountability.

Job Summary
This is a transformative role within HP's Enterprise Business Planning (EBP) program, delivering operational excellence and reimagining enterprise-wide planning and forecasting methodologies. The Machine Learning Engineer addresses complex business challenges with innovative approaches. Technical expertise is applied to develop forward-looking solutions that address current business limitations and future opportunities.

This role is responsible for driving a team of machine learning engineers and data scientists, guiding the development of machine learning projects. The role collaborates with business stakeholders to understand goals and define machine learning project requirements. The role develops project roadmaps, allocates resources, and sets clear milestones for the team.

Responsibilities
• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Designs machine learning systems, runs machine learning tests and experiments, and retrains systems when necessary.
• Delivers results according to project schedules and quality while maintaining SLAs on velocity, productivity, and quality.
• Performs annotation to monitor and train machine learning models for multiple products.
• Participates in design reviews with peers and stakeholders to decide among available technologies.
• Collaborates with data science and engineering teams to integrate machine learning solutions.
• Engages in state-of-the-art research in AI and ML, ensuring the team remains at the forefront of the industry.
• Leverages deep algorithmic knowledge to design and implement robust machine learning solutions.
• Manages departmental resources and maintains a high-performing team.

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 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

Knowledge & Skills
• Agile Methodology
• Algorithms
• Artificial Intelligence
• Automation
• Big Data
• Data Science
• Deep Learning
• Machine Learning

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

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.

The pay range for this role is $165,000 to $254,100 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)

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.

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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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement