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 Sr ML Engineer, you will be expected to work independently across multiple projects on:
Independently developing and deploying multiple pipelines and infrastructure around ML models / products.
Independently maintaining the production ML models by retraining the models on new data, fixing bugs, and adding new features
Independently troubleshooting machine learning problems by identifying the root cause of problems and developing solutions to fix them
Following best practices in terms of coding and deployment of MLOps pipelines
Independently providing production support to the technical team to manage/troubleshoot the failure of an application
Documenting the production deployment with details regarding ML pipelines and associated. technical infrastructure
Proactively contributing to coding review sessions and proactively seeking mastery of coding conventions
Prototyping and creating POCs (proof of concepts) to demonstrate the feasibility of MLOps solutions
Independently supporting scalable ML solutions that efficiently handle increasing data volumes, ensuring that the models remain effective and responsive as the business grows
Independently supporting the integration of machine learning models into processes that require quick and automated responses
Independently using and debugging robust monitoring systems for deployed models, promptly identifying, and addressing issues to ensure continuous reliability and performance including data and model drift
Independently implementing machine learning features/solutions that enhance the overall user experience
Mentoring Associate ML Engineers and ML Engineers in the context of technology, best practices, and domain-specific issues
Other duties as assigned by manager
RELATIONSHIPS
Internal: ML Team (Associate ML Engineers, ML Engineers, Lead ML Engineers), SRE, Data Science team, Product Management team, CX/UX team.
External: None.
WORK ENVIRONMENT
MINIMUM QUALIFICATIONS
As an Sr. ML Engineer, you have:
Bachelor’s degree plus 3+ years of relevant software development experience
Effective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members
Advanced-level understanding of salient machine learning algorithms (for example: NLP, recommender systems) and model development lifecycle
2+ years’ experience with Agile/SCRUM methodologies
2+ 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)
2+ years’ experience in using popular machine-learning frameworks
3+ years of practical experience (non-academic) in scripting languages (preferably Python and Bash scripting)
3+ 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
3+ years’ experience in version control systems/concepts, such as Git
3+ years’ experience in SQL and NoSQL
3+ years’ experience in orchestration tools like Airflow or Dagster
3+ years’ experience in working with structured, unstructured, and semi-structured data.
3+ years’ experience in serverless technologies
3+ years’ experience in cloud computing, Linux OS, Docker, RDBMS, and NoSQL Databases
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 $96,500.00 and $128,700.00. In New York, the expected compensation for this role is between $91,100.00 to $143,300.00. In California and Washington, the expected compensation for this role is between $102,100.00 and $136,200.00. 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: https://www.usfoods.com/careers/benefits.html.
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