Software Engineer Principal, Machine Learning (Remote) @ The Home Depot | Jobright.ai
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Software Engineer Principal, Machine Learning (Remote) jobs in Atlanta, GA
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The Home Depot · 2 days ago

Software Engineer Principal, Machine Learning (Remote)

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E-CommerceHome and Garden
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Responsibilities

Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
Documents, reviews and ensures that all quality and change control standards are met
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
Contributes to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment
Identifies product enhancements (client-facing or technical) to create a better experience for the end users
Identifies unsecured code areas and implements fixes as they are discovered with or without tooling
Identifies, implements, and shares technical solutions that can be used across the organization
Creates and architects foundational code elements that can be reused many times by a product
Creates meaningful architecture diagrams and other documentation needed for security reviews or other interested parties
Defines Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work
Fields questions from other product teams or support teams
Monitors tools and participates in conversations to encourage collaboration across product teams
Provides application support for software running in production
Proactively monitors production Service Level Objectives for products
Works with vendors and the open-source community to help identify and implement feature enhancements in software products
Works with other product teams to create API specifications and contracts for shared data
Proactively reviews the performance and capacity of all aspects of production: code, infrastructure, data, and message processing
Triages high priority issues and outages as they arise
Participates in and leads learning activities around modern software design and development core practices (communities of practice)
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
Attends conferences and learns how to apply new technologies where appropriate

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaMachine LearningML Ops lifecycleArchitectural patternsPerformance tuningClustering algorithmsNeural networksData Analysis toolsTensorFlowPyTorchGoogle Cloud PlatformBigQueryGenerative AI

Required

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Mastery of an object oriented programming language (preferably Java)
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
6 years of relevant work experience

Preferred

6-8 years of relevant work experience
Expertise in ML development and ML ops lifecycle
Experience working with multiple leading ML models
Experience tracking key metrics for ML performance
Experience with architectural patterns to employ AI models
Performance tuning applications that leverage ML models
Capable of understanding complicated systems quickly
Experience in algorithms such as clustering, forecasting, anomaly detection, and neural networks.
Experience in basic statistics and regression algorithms
Experience in embeddings generation and utilization
Experience in training machine learning models with extremely large datasets
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc
Familiarity with Generative AI models and techniques to leverage them in multi-modal contexts

Company

The Home Depot

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The Home Depot is a retailer of hardware, consumer goods, and DIY supplies both online and offline while providing home delivery services.

H1B Sponsorship

The Home Depot has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (221)
2020 (256)

Funding

Current Stage
Late Stage
Total Funding
unknown
2007-07-31Debt Financing· Undisclosed

Leadership Team

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Ted Decker
President & COO
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Chip Devine
Senior Vice President
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Company data provided by crunchbase
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