AvePoint

Senior Machine Learning Engineer

AvePoint
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2 months ago
Jersey City, NJ, USA or New York, NY, USASenior
H1B sponsor

Base Salary

$190k - $220k/yr

Responsibilities

  • Design, build, and deploy machine learning models using structured and unstructured data.
  • Drive end-to-end AI architecture spanning data pipelines, LLMs, platform components, and application integration.
  • Architect scalable and reliable integrations of AI components into SaaS infrastructure.
  • Design data pipelines and storage solutions for large-scale AI workloads.
  • Optimize AI algorithms and workflows for performance, efficiency, and resource utilization.
  • Implement security, privacy, compliance, and responsible-use guidance for AI systems.
  • Remove execution barriers and drive adoption of AI solutions across product, engineering, go-to-market teams, and customers.

Requirements

  • At least 5 years of experience as an engineer or architect focused on machine learning, data science, or natural language processing.
  • Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
  • Experience preferably includes enriching SaaS products with AI or machine learning functionality.
  • Ability to define measurable, revenue-generating, or business-solving outcomes for AI initiatives.
  • Strategic and technical leadership skills, including resolving company-wide technical discussions and aligning with product management.
  • Strong collaboration, communication, consensus-building, and hands-on implementation abilities.

Benefits

  • Competitive market-based compensation, yearly bonus, and equity.
  • Career progression and internal mobility opportunities.
  • Hybrid working model.
  • Unlimited PTO.
  • Benefits include medical, dental, vision, and a 401(k) with match.

Categories

AvePoint

About AvePoint

1,001-5,000 employees

AvePoint builds SaaS backup, migration, and governance software for enterprises running Microsoft 365, SharePoint, Google Workspace, and Salesforce. Its products help secure data, manage compliance, and automate administration, sold via subscriptions and channel partners. Founded in 2001 and headquartered in Jersey City, the company is publicly traded on the NASDAQ.

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