Staff Machine Learning Engineer, Supply Chain Sourcing (REMOTE)

The Home Depot

77d • $140,000 - $240,000

About The Position

The Staff Machine Learning Engineer, with expertise in software engineering, is responsible for leading and collaborating with a cross-functional engineering team to design, build, and support innovative machine learning products that our customers and associates love. In this dual-role capacity, you will contribute expertise in both machine learning engineering and traditional software development, ensuring seamless integration of ML/AI capabilities into production environments. As a Staff Machine Learning Engineer, you will design and implement ML and AI algorithms, integrating them into software products to create user-centric solutions. Your responsibilities will include collaborating with business stakeholders, infrastructure teams, and development teams to ensure that both software and ML requirements are met effectively. You will play an active role in performance tuning, testing, monitoring of ML features, data engineering, and documentation. You will also be expected to proactively communicate assumptions, risks, and drive multiple software and ML initiatives from conception through deployment. On the software engineering front, 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. You will contribute to foundational code elements, reusable components, architectural diagrams, and product documentation, while also guiding the team through product and tool selection, configuration, security, resilience, performance tuning, and production monitoring.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Nice To Haves

• 3-6 years of relevant work experience.
• Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
• Experience with 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 with front-end technology such as HTML, CSS, and JavaScript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or NoSQL database technology, cloud computing techniques, CI/CD tools.
• Experience with security frameworks for user and service authorization and authentication.
• Experience in REST and effective web service design.
• Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security.
• Experience in cloud computing platforms and associated automation patterns and machine learning services they provide.
• Experience in defensive coding practices and patterns for high Availability.
• Experience with creating and executing unit, functional, destructive, and performance tests.
• Experience in A/B testing and effective REST design for scalable web services architecture.
• Experience with modern debugging and root cause analysis techniques.
• Experience with a version control system (preferably Git).
• Exposure to developing technical roadmaps, including work estimation, refactoring, and modernizing legacy systems.
• Familiarity with advanced machine learning architectures, GANs, GRU, LSTMs, RNNs, CNNs, and style transfer.

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.
• 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.

Benefits

• 401k
• health_insurance
• dental_insurance
• vision_insurance
• paid_holidays
• paid_volunteer_time
• flexible_scheduling
• employee_discount_programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED
• Number of Employees: 5,001-10,000 employees