Senior Machine Learning Engineer

. Implement ML standards, processes and best practices .

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $112,590 - $146,369 per yearWebsite

Key responsibilities & impact

Implement ML standards, processes and best practices
Collaborate with stakeholders to identify and plan for enterprise ML portfolio needs
Guide ML team members on their deliverables and activities
Translate complex requirements into well-scoped machine learning projects
Develop machine learning applications according to requirements
Ensure machine learning solutions are scalable to meet enterprise requirements
Work closely with data scientists and data engineers to guide development of machine learning models
Create metrics to continuously evaluate the performance of machine learning solutions
Extend existing machine learning libraries and frameworks as needed
Execute own project tasks with urgency and to a high level of quality
Communicate status clearly and effectively using departmental project management tools
Follow time-tracking and other project management requirements
Participate actively in project meetings, stand-ups, etc.
Serve as technical lead for moderately complex projects, collaborating with project managers to ensure project scope/risk/budget/etc. are adequately managed
Lead project meetings and workgroups

What you’ll need

Bachelor's degree in computer science, statistics, economics or related fields
5+ years of work experience in a related job discipline
Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management
Demonstrated the ability to manage large data science projects and various teams
Preferred: 3+ yrs of relevant project exp. in successfully launching, planning, executing ML projects
Preferred: Experience working on a project using Agile or iterative methods
Preferred: Specialization in ML, AI, cognitive science or data science
Preferred: A specialization in text analytics, image recognition, graph analysis OR other specialized ML techniques such as deep learning, etc.

Comp & perks

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Hard Skills & Tools

machine learningdata sciencedeep learningtext analyticsimage recognitiongraph analysisAgileproject managementscalabilitymetrics development

Soft Skills

collaborationcommunicationleadershipproject managementurgencyquality assurancestakeholder engagementteam managementproblem-solvingadaptability