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Home Depot Machine Learning- Software Engineer in Atlanta, Georgia

Position Purpose:

The Software Engineer is responsible for assisting in developing and designing a product that Home Depot customers and associates will love. As a Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineers may be involved in product configuration, security, resilience, performance tuning and production monitoring.

Key Responsibilities:

  • 60% Delivers and Executes - Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results, even under tough circumstances

  • 20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels

  • 20% Plans and Aligns - Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people

Direct Manager/Direct Reports:

  • This position typically reports to Software Engineer Manager or Sr. Manager

  • This position has 0 Direct Reports

Travel Requirements:

  • No travel required.

Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

  • Must be eighteen years of age or older.

  • Must be legally permitted to work in the United States.

Preferred Qualifications:

  • 0 - 1 years of relevant work experience

  • Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.

  • Experience to basic statistics and regression algorithms

  • 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 modern web application framework such as Node.js

  • Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3

  • 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

  • Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer

Minimum Education:

  • 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.

Preferred Education:

  • No additional education

Minimum Years of Work Experience:

  • 1

Preferred Years of Work Experience:

  • No additional years of experience

Minimum Leadership Experience:

  • None

Preferred Leadership Experience:

  • None

Certifications:

  • None

Competencies:

  • Global Perspective

  • Manages Ambiguity

  • Nimble Learning

  • Self-Development

  • Collaborates

  • Cultivates Innovation

  • Situational Adaptability

  • Communicates Effectively

  • Drives Results

  • Interpersonal Savvy

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Apply End Date: 08/26/2024

  • $60,000.00 - $90,000.00
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