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Senior Machine Learning Engineer (Remote)
Home Depot
- United States
- United States
À propos
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.
Senior ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.
Key Responsibilities
70% Delivery and Execution
- Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer‑ready, easy to understand, and testable; 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; 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.
10% Learning
- 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.
20% Support and Enablement
- 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.
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
Typically requires overnight travel 5% to 20% of the time.
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
2-4 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 with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch, etc.
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and 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 GPU acceleration (i.e. CUDA and cuDNN).
Experience in a modern web application framework such as Node.js.
Experience with a front‑end technology and framework such as HTML, CSS, JavaScript, ReactJS, D3.
Experience in writing SQL queries against a relational database.
Experience in version control systems (preferably Git).
Experience in a Linux or Unix based environment.
Experience in a CI/CD toolchain.
Experience in REST and effective web service design.
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security.
Familiarity with NoSQL databases.
Familiarity with cloud computing platforms and associated automation patterns and machine learning services they provide.
Familiarity with defensive coding practices and patterns for high availability.
Familiarity with A/B testing and effective REST design for scalable web services architecture.
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
Preferred Education
No additional education.
Minimum Years of Work Experience
2
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. $100,000.00 - $180,000.00
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Compétences linguistiques
- English
Avis aux utilisateurs
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