Staff Machine Learning Engineer (Remote) @ The Home Depot | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Staff Machine Learning Engineer (Remote) jobs in Atlanta, GA
Be an early applicantLess than 25 applicants
company-logo

The Home Depot · 2 days ago

Staff Machine Learning Engineer (Remote)

ftfMaximize your interview chances
E-CommerceHome and Garden
check
H1B Sponsor Likelynote

Insider Connection @The Home Depot

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions
Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable
Configures commercial off the shelf solutions to align with evolving business needs
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice)
Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
Attends conferences and learns how to apply new innovations and technologies where appropriate
Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives
Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements
Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products
Proactively creates and maintains tools for monitoring and support
Participates in project planning and management across multiple efforts
Develops formal training courses
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
Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

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.

ML developmentML ops lifecycleNLPConvolutional neural networksAutoencodersEmbeddings generationData AnalysisJupyter NotebooksPandasSciPyScikit-learnGensimTensorFlowPyTorchGPU accelerationGoogle Cloud PlatformVertex AIBigQueryMLAutoMLData engineering practicesBigQueryPythonSQL queriesVersion control systemsLinux environmentCI/CD toolchainREST designHigh AvailabilityDisaster RecoverySecurity

Required

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3 years of relevant work experience
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred

3 - 6 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 design patterns to employ AI and models
Familiarity leveraging GenAI models
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and 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
Experience in a modern scripting language (preferably Python)
Experience in writing SQL queries against a relational database
Experience in version control systems (preferable Git)
Experience in a Linux or Unix based environment
Experience in a CI/CD toolchain
Experience in REST and effective web service design
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
Experience in NoSQL databases
Experience in cloud computing platform and associated automation patterns and machine learning services they provide
Experience in defensive coding practices and patterns for high Availability
Experience in A/B testing and effective REST design for scalable web services architecture

Company

The Home Depot

company-logo
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

leader-logo
Ted Decker
President & COO
linkedin
leader-logo
Chip Devine
Senior Vice President
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot