Software Engineer Manager, Machine Learning (Remote)

About the position

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.

Responsibilities

• 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
• 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
• 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)
• 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

Requirements

• 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)
• Minimum of 5 years of work experience

Nice-to-haves

• 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, 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, 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, CSS, 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 with building AI Agents and Agentic Applications using frameworks like LangChain
• 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

Benefits

• Health care benefits
• 401K
• ESPP
• Paid time off
• Success sharing bonus