Software Engineer Manager, Machine Learning; Remote

Position

Purpose:

As a Software Engineer Manager, you will be given a chance to contribute to the machine learning platforms and products we create and help grow the next generation of engineering talent.

30% Delivery & Execution:

• Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
• Documents, reviews and ensures that all quality and change control standards are met
• Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
• Works with vendors and partners for the successful implementation of critical tooling and platforms
• Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
• Evaluates new technologies for adoption across the enterprise
• Participates in and leads review board sessions to drive consistency across the enterprise
• Fills in on product teams for engineers who are out of the office

10% Support & Enablement:

• Fields questions from engineers, 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
• Acts as a technical escalation point for the engineers on the team

50% People:

• Provides leadership, mentoring, and coaching to Software Engineers
• Attracts, retains, and develops top talent to build a world class Software Engineering Team
• Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
• Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
• Acts as a proponent of modern software development practices
• Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
• Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)

10% Learning:

• Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
• Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

• Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.

• Typically requires overnight travel 5% to 20% of the time.

• 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.

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

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Mastery of an object oriented programming language (preferably Java)
• Must be legally permitted to work in the United States

• 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, Scikit-learn, tensor flow, pytorch, etc.
• Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQuery
  
  ML, and AutoML
• Experience in effective data engineering practices and big data platforms such as Big Query, etc
• Experience in a modern scripting language (preferably Python)
• Experience in a modern web application framework such as Node.js
• Experience in a front-end technology and framework such as HTML, CSS, JavaScript, React
  
  JS, 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…