Home Depot Atlanta , GA 30301
Posted 7 days ago
Position Purpose:
The Staff Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.
Staff ML Engineers will be a core player on the product team and are expected to build and grow skillsets of more junior engineers. You will also be able to drive multiple ML initiatives by directing algorithm and technology product design
Key Responsibilities:
Direct Manager/Direct Reports:
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager
This Position has 0 Direct Reports
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
3 - 6 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:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy
The application window is anticipated to be closed on August 19, 2024
See more benefits: livetheorangelife.com
Home Depot