Machine Learning Engineer at Hewlett-Packard
Boise, ID 83701
About the Job
Machine Learning EngineerDescription -Job DescriptionYou are out to reimagine and reinvent what is possible—in your career as well as the world around you.So are we
We love taking on tough challenges, disrupting the status quo, and creating what is next
We are in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.We are 55,000 HP employees, united in creating technology that makes life better for everyone, everywhere
And we fervently believe that one powerful thought has the power to change the world
Interested in joining us? Let’s talk.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.HP offers a comprehensive benefits package, including:•Dental insurance•Disability insurance•Employee assistance program•Flexible schedule•Flexible spending account•Health insurance•Life insuranceOur 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.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -25%Relocation -NoEqual 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 – SupplementSummaryLocation: Palo Alto, California, United States of America; Boise, Idaho, United States of America; Fort Collins, Colorado, United States of America; San Diego, California, United States of America; Vancouver, Washington, United States of America; Spring, Texas, United States of AmericaType: Full time
We love taking on tough challenges, disrupting the status quo, and creating what is next
We are in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.We are 55,000 HP employees, united in creating technology that makes life better for everyone, everywhere
And we fervently believe that one powerful thought has the power to change the world
Interested in joining us? Let’s talk.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.HP offers a comprehensive benefits package, including:•Dental insurance•Disability insurance•Employee assistance program•Flexible schedule•Flexible spending account•Health insurance•Life insuranceOur 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.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -25%Relocation -NoEqual 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 – SupplementSummaryLocation: Palo Alto, California, United States of America; Boise, Idaho, United States of America; Fort Collins, Colorado, United States of America; San Diego, California, United States of America; Vancouver, Washington, United States of America; Spring, Texas, United States of AmericaType: Full time
