Senior Machine Learning Engineer

About Ave Point

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, ensuring a robust data foundation and enabling organizations worldwide to collaborate with confidence. Over 25,000 customers rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value‑added resellers, and systems integrators, with solutions available in more than 100 cloud marketplaces.

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real‑world business challenges, optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.

• Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI‑based functionalities.
• Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively.
• Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations.
• Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
• Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling.
• Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go‑to‑market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers.

• 5+ years of experience working as an engineer or architect with a focus on machine learning, data science, or natural language processing.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Preferably worked on enriching SaaS products with AI/ML functionalities.
• Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
• Previous experience determining measurable, revenue‑generating or business‑solving outcomes and showing how AI can drive these.
• Strategic thinking skills including the ability to lead and resolve company‑wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
• Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands‑on to drive implementation.

• Competitive market‑based compensation (salary, yearly bonus + equity).
• Career progression and internal mobility opportunities.
• Work‑life balance through a hybrid working model.
• Unlimited PTO.

The Salary Range for this role is $190,000 - $220,000. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs).