This position is virtual/remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories. We are unable to provide sponsorship for employment visa status (e.g., OPT, F-1, H-1B visa status). Candidates who require sponsorship and are not eligible to work in the United States are not eligible to apply.
RESPONSIBILITIES As Principal ML Engineer, you will be expected to work in close coordination with Associate ML Engineers, ML Engineers, Sr. ML Engineers, Lead ML Engineers, and the Director of ML on: Providing thought leadership to the ML Engineering team by sharing the foresight and broader picture/context with the team along with diverse and independent perspectives on technology and implementation Leading the collaboration with cross-functional teams and examining wholistic ML engineering processes while emphasizing the scalability of the teams efforts Collaborating with the Director of ML on defining the overall technical roadmap for all projects including customized and complex initiatives Collaborating with the Director of ML in continuously reviewing, adding, and updating the roadmaps based on changes in requirements, technology, and resources Assisting the director in budgeting resources and ensuring the most economical methods are used for achieving a given task Overseeing the development and deployment of multiple pipelines and infrastructure to support ML models / products Guiding the team in maintaining the production ML models by retraining the models on new data, fixing bugs, and adding new features Advising the team in troubleshooting machine learning problems by identifying the root cause of problems and developing solutions to fix them Collaborating with the Director of ML in establishing and following best practices for coding and deployment of MLOps pipelines by the entire team Overseeing the provision of production support to the technical team to manage/troubleshoot the failure of an application Overseeing the documentation of the production deployment with details regarding ML pipelines and associated technical infrastructure Proactively leading and contributing to coding review sessions and developing mastery of coding conventions Building an agile culture of prototyping and creating POC (proof of concepts) to demonstrate the feasibility of MLOps solutions Guiding the team in supporting scalable ML solutions that efficiently handle increasing data volume, ensuring that the models remain effective and responsive as the business grows Guiding the team in supporting the integration of machine learning models into processes that require efficient, automated responses Promoting the usage of robust monitoring systems for deployed models, promptly identifying, and addressing issues to ensure continuous reliability and performance including data and model drift Guiding the team in implementing machine learning features/solutions that enhance the overall user experience Evangelizing and establishing the development standards, including coding standards and development methodologies Other duties as assigned by manager RELATIONSHIPS Internal: ML Team ( Associate ML Engineers, Sr. ML Engineers, ML Engineers, Lead ML Engineers, Director, ML), SRE, Product Management team, Data Science team, CX/UX team. External: None. WORK ENVIRONMENT Remote : This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment. MINIMUM QUALIFICATIONS As a Principal ML Engineer, you have: Masters degree or Bachelors degree plus 5-7 years of relevant professional Software Development experience. Effective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members Demonstrated ability to effectively present to the stakeholders across functions and domains including senior leadership Ability to share accountability and ownership in conversations with stakeholders Ability to research the latest trends/ technologies/ architecture in ML space and contribute to research and innovation Expert-level understanding of salient machine learning algorithms (for example: NLP, recommender systems) and model development lifecycle 5+ years experience with Agile/SCRUM methodologies 5+ years experience in AWS (or other clouds) relevant to machine learning including data processing & storage, API development, MLOps, CI/CD pipelines, and container orchestration (preferably ECS & EKS) 5+ years experience in using popular machine-learning frameworks 5+ years practical experience in scripting languages (preferably Python and Bash scripting) 5+ years experience in data warehouses & data lakes and analytics services, such as Snowflake 3+ years experience in distributed computing concepts preferably (for example, AWS Elastic MapReduce) for processing large datasets 5+ years experience in version control systems/concepts, such as Git 5+ years experience in SQL and NoSQL 5+ years experience in orchestration tools like Airflow or Dagster 3+ years experience working with structured, unstructured, and semi-structured data 5+ years experience in serverless technologies 5+ years experience in cloud computing, Linux OS, Docker, RDBMS, and NoSQL Databases Deep expertise in the tech stack (Python, AWS Sagemaker, Snowflake, Dagster, dbt) with a focus on innovation and strategic application in ML. Leadership in technical strategy and vision for ML applications. Strong ability to mentor and develop technical talent. Exceptional problem-solving and analytical skills to drive decision-making. Up to 5% travel required, depending on business needs. The following information is provided in accordance with certain state and local laws. Compensation depends on experience, geographic locations, and other factors permitted by law. In Colorado, the expected compensation for this role is between $141,800.00 and $189,000.00. In New York, the expected compensation for this role is between $132,600.00 to $210,400.00. In California and Washington, the expected compensation for this role is between $149,900.00 and $199,900.00. This role is also eligible for an annual incentive plan bonus. Benefits for this role include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: #LI-EC1
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Git Natural language processing (NLP) CI/CD Data Science Python Amazon Web Services (AWS) Linux snowflake-cloud-data-platform amazon-ecs MLOps Docker amazon-eks SQL Airflow Machine Learning Bash Scrum RDBMS dagster NoSQL Amazon SageMaker Site Reliability Engineering (SRE) Product management DBT