Principal Machine Learning Engineer

About the role

Implements machine learning (ML) models for production. Ensures the readiness of machine learning models for deployment in production. Automates machine learning workflows. Creates infrastructure and frameworks to monitor the performance of machine learning models in deployment. Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling. Provides troubleshooting and debugging support. Addresses issues in machine learning infrastructure and workflows. Collaborates with stakeholders to integrate machine learning models into new or extant systems. Develops, maintains, and refines tools, platforms, and services for internal use. Develops efficient, bug-free code from scratch. Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development.

Responsibilities

• Utilizes machine learning (ML) and software development knowledge to implement ML models for production.
• Transforms machine learning prototypes into production-ready models.
• Collaborates with multiple stakeholders to make, adopt, and communicate technical decisions, and shape the development and delivery of software.
• Ensures ML model readiness for deployment by scaling models, cleaning model code, and ensuring production quality standards are met.
• Automates machine learning workflows, from data extraction, transformation, and loading (ETL) to model deployment and monitoring.
• Creates infrastructure and frameworks to monitor the performance and alignment with design criteria of trained models and/or systems.
• Proactively monitors the performance of deployed models and troubleshoots independently or in collaboration with Data Science.
• Develops novel metrics that provide analytical insights to non-technical stakeholders on how well machine learning models are operating.
• Evaluates potential issues related to data quality, data security, and data privacy, and minimizes their impacts on data analyses and modeling.
• Collaborates with multiple stakeholders to integrate ML models into new or existing systems.
• Maintains the partnership between model development and operations, ensuring smooth deployment and continuous improvement of ML models.
• Develops, maintains, and refines tools, platforms, environments, and services for internal use.
• Develops efficient, bug-free, medium-complexity code from scratch, and properly maintains and organizes the existing codebase.

Qualifications

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Skills

Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development. Maintains familiarity with the usage and development of third-party machine learning frameworks, packages, and libraries (e.g., PyTorch, TensorFlow, Keras) to continuously evaluate their performance and scalability, and integrate them into production environments.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• 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: Flexible Vacation
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

Pay

Hiring Range in USD from: $126,200 - $264,100 per year. May be eligible for bonus, equity, and compensation deferral.

Schedule

Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment.