AvePoint
Senior Machine Learning Engineer
Jersey City, NJ, United States · Senior
Sponsorship not specified$190k-$220kDetected 12 days ago
AlgorithmsMachine LearningDeep LearningData EngineeringData ScienceNLPLLMsSalesforceCollaboration
About the role
- We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team.
Responsibilities
- System Integration: 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.
- Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
- Security and Compliance: 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.
- 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.
- Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities.
- Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.
Requirements
- Design data pipelines and storage solutions for handling large volumes of data required for AI models.
- Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models.
- The ideal candidate has:
Nice to have
- 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
- Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
- Career progression and internal mobility opportunities.
Skills
- Beyond Secure.
- To learn more, visit www.avepoint.com.
Compensation
- Competitive market-based compensation (salary, yearly bonus + equity).
- 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).
Benefits
- Competitive market-based compensation (salary, yearly bonus + equity).
- Unlimited PTO.
- Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy.
- 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing
- Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
- Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation.
- Benefits We Offer
- This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces.
- At AvePoint, we strive to offer competitive, fair, and equitable total rewards.
Company info
- 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.
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This listing is sourced directly from AvePoint's careers page and normalized into a canonical job model.