Machine Learning Engineer

Hewlett-Packard Company; Vancouver (WA); On-site; USD 143,850 - 221,550; Full time

Benefits offered by this job

Dental insurance

Disability insurance

Employee assistance program

Flexible schedule

Flexible spending account

Health insurance

Life insurance

Job summary

Hewlett-Packard Company seeks a senior ML engineer to architect and implement end-to-end ML solutions, from data collection to deployment. You will apply ML techniques, build models, and deliver visualizations while coordinating with product teams.

The role requires strong Python and ML framework skills, plus experience with BI tools like Power BI and development platforms such as Azure DevOps and GitHub. A Master’s degree and 3–5 years in ML/DS are expected.

Qualifications

• Master's degree in Computer Science, Statistics, and/or Math or equivalent via work/research.
• 3–5 years of experience in ML engineering or data science roles.

Responsibilities

• Architect and develop integrated software solutions for ML model lifecycles.
• Apply ML and statistical methods to solve business problems and deploy models.
• Define data collection, train/validate models and create visualizations; maintain models.

Skills

Python

Pytorch/TensorFlow

C/C++/C#

R

Power BI

Azure DevOps

GitHub

Education

Master's degree in CS/Statistics/Math

Tools

Azure DevOps

GitHub

Job description

Responsibilities

• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Applies machine learning and statistical modeling techniques to business or research problems. Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance. Deploys and maintains models. Directs technical teams in achieving these objectives.
• Ability to articulate the desired outcome, approach, tradeoffs, status and risks.
• Knowledge of business intelligence (e.g. Power BI) and development tools (Azure Dev Ops, GitHub).
• Keeps knowledge and skills current by reading state of the art research papers and blog posts from industry and research labs. Studies new methods to understanding industry trends and emerging technologies. Disseminates this knowledge within teams and across teams.
• Fluent in one or more Machine Learning Frameworks (e.g. Pytorch, TensorFlow, scikit-learn, etc). Fluent in Python and knowledge of one or more additional Programming Languages, such as C++, R, C#.
• Knowledge of modern computer science including algorithms, data structures, software architecture. Where applicable, knowledge of cloud and hybrid cloud service architectures and their impacts on development and deployment. Able to architect new solutions that combine services, data preparation and preprocessing, machine learning models and data presentation.
• Knowledge of the Mathematics of Machine Learning (particularly Linear Algebra, differential calculus) and Statistics.
• Deep understanding of current machine learning algorithms, under which circumstances each is applicable and their pros and cons. Able to compose new model architectures and objective functions.
• Knowledge of data processing/experiment techniques and data preprocessing requirements for the common machine learning approaches. Knowledge of data collection techniques. Knowledge of data augmentation approaches and their pros and cons.

Scope & Impact

• Works with tech leads and product and program managers to understand the business problem.
• Works with software engineers to understand systems and craft interfaces to model for deployment.
• Interacts with teams collecting data to assist in defining collection protocols and assure data quality.
• Codes, trains, validates and optimizes machine learning models, possibly utilizing new model architectures, optimization techniques or objective functions.

Education and Experience

• Masters Degree in Computer Science, Statistics, and/or Math or equivalent, demonstrated through work experience, journal and/or conference publications or open-source projects.
• 3-5 years experience.

Benefits

HP offers a comprehensive benefits package, including:

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $143850 – $221550 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.