Senior Machine Learning Engineer

Oracle•Seattle, WA

18h

About The Position

Implements and productionizes machine learning models, ensuring they are ready for deployment and supported by scalable, reliable serving infrastructure. Automates machine learning workflows from data extraction, transformation, and loading through model deployment and monitoring. Creates monitoring frameworks and metrics to evaluate model performance and alignment with design criteria, and troubleshoots deployed models independently or with Data Science partners. Works with stakeholders including Development Leads, Product Management, Operations, Release Management, data scientists, and software developers to make technical decisions and integrate open-source models into new or existing systems. Develops and maintains internal tools, platforms, environments, and services; writes and reviews code; maintains existing codebases; and documents technical processes. Keeps current with machine learning engineering developments and third-party frameworks, packages, and libraries, evaluating their performance and scalability for production use. Coordinates moderately complex project work, delegates and prioritizes across projects, and provides technical oversight. Collaborates across the organization, addresses moderately complex problems, escalates critical issues with assessments and proposed solutions, and contributes to process improvements. Seeks ongoing learning and feedback, mentors junior team members, and participates in candidate interviews and hiring recommendations.

Responsibilities

Implement machine learning model serving for production and collaborate with stakeholders on technical decisions and software delivery.
Prepare models for production deployment by scaling them, cleaning model code, and meeting production quality standards.
Automate model-serving workflows from ETL through deployment and monitoring to support continuous integration and delivery of machine learning solutions.
Build infrastructure and frameworks to monitor deployed model performance and alignment with design criteria.
Monitor deployed models, troubleshoot issues, and develop metrics that communicate model performance to non-technical stakeholders.
Integrate open-source models into new or existing systems with data scientists, software developers, and other stakeholders.
Account for performance, scalability, stability, and maintenance in model deployment; troubleshoot machine learning engineering infrastructure and workflows and develop robust solutions to prevent recurring problems.
Develop, maintain, and refine internal tools, platforms, environments, and services.
Write efficient, bug-free, medium-complexity code; maintain and organize codebases; follow version control, code review, and code delivery/deployment best practices; and test and review code.
Create and maintain professional documentation for experimentation, data collection and analysis, and model building.
Keep up to date with machine learning engineering and third-party frameworks, packages, and libraries, evaluating their performance and scalability and integrating them into production environments.
Coordinate moderately complex tasks and project deliverables, delegate and prioritize work across projects, and provide technical oversight while adapting to changes in resources or timelines.
Collaborate across the organization, understand stakeholder and customer needs, and support inclusivity by seeking and listening to diverse perspectives.
Analyze moderately complex problems, document problem-solving strategies, and escalate unresolved or critical issues with assessments and potential solutions.
Pursue learning and feedback, stay current with industry trends and best practices, and coach and mentor junior team members.
Recommend and implement process improvements, solicit feedback on alternative approaches, and evaluate effects on stakeholders.
Participate in candidate interviews, assess candidates, and provide hiring recommendations.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short-term and long-term disability
Life insurance and AD&D
Supplemental life insurance for employees, spouses, and children
Health care and dependent care flexible spending accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off, including flexible vacation for eligible salaried employees or accrued vacation for other eligible employees
11 paid holidays
Paid sick leave
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal benefits
Voluntary auto, homeowner, and pet insurance
May be eligible for bonus and equity