Software Engineer Manager – Machine Learning (Remote)

Key Skills

Aartificial intelligence, Algorithms, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, CSS, D3.js, Data Engineering, Effective communication skills, Git, Google BigQuery, Google Cloud Platform (GCP), HTML, Infrastructure as code, JavaScript, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), NoSQL, Pandas, React.js, REST API, Scikit-learn, SQL, Teamwork, Unix Operating system, UX design

Job Description

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

In addition, you will be given the chance to work with our most strategic vendors to ensure that 3rd party tools and applications are readily available to all product teams that are interested in using them.

Key Responsibilities:

• 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

Direct Manager/Direct Reports:

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

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

Preferred Qualifications:

• 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, Spacy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
• 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
• Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
• Familiarity with NoSQL databases
• Familiarity with cloud computing platform 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
• Knowledge, Skills, Abilities and Competencies:
• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
• Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
• Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Develops Talent: Developing people to meet both their career goals and the organization's goals
• Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
• Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
• Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
• Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
• Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

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:

• 5

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
• Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
• Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Develops Talent: Developing people to meet both their career goals and the organization's goals
• Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
• Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
• Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
• Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
• Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Paid Time Off (PTO):

Salaried associates are eligible for 2 weeks of vacation in their first year; FT hourly will be eligible for 40 hours of paid vacation time after 6 months of continuous service; (for positions in Washington State, Spokane, and Tacoma only) – Salary and Temporary associates will earn 1 hour of sick time for every 40 hours worked; FT associates will earn 1 hour of sick time for every 40 hours worked or 4 hours per month, whichever is greater; (for positions in Seattle only) – Salary and Temporary associates will earn 1 hour of sick time for every 30 hours worked; FT associates will earn 1 hour of sick time for every 30 hours worked or 4 hours per month, whichever is greater.