Principal Applied Scientist - Machine Learning jobs in United States
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AvePoint · 5 hours ago

Principal Applied Scientist - Machine Learning

AvePoint is the global leader in data security, governance, and resilience, providing solutions to ensure a robust data foundation. The role involves developing and deploying advanced machine learning models to solve business challenges and optimize data pipelines, contributing to intelligent solutions at AvePoint.

Cloud ComputingData ManagementDocument ManagementInformation TechnologySaaSSoftware
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H1B Sponsor Likelynote

Responsibilities

Design, build, and deploy machine learning models leveraging structured and unstructured data
Shape and engineer data pipelines for optimal model performance and production-grade scalability
Collaborate cross-functionally with engineers, researchers, and product teams to define requirements and deliver impactful AI/ML solutions
Analyze experimental data, conduct model validation, and continuously improve accuracy and robustness
Document methodologies and results, presenting findings to both technical and non-technical stakeholders
Stay up-to-date with the latest advancements in machine learning and data science best practices
Support operationalizing models within AvePoint’s ecosystem, ensuring responsible data handling and compliance

Qualification

Machine LearningPythonData Pipeline DevelopmentCloud DeploymentData WranglingAnalytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration

Required

Design, build, and deploy machine learning models leveraging structured and unstructured data
Shape and engineer data pipelines for optimal model performance and production-grade scalability
Collaborate cross-functionally with engineers, researchers, and product teams to define requirements and deliver impactful AI/ML solutions
Analyze experimental data, conduct model validation, and continuously improve accuracy and robustness
Document methodologies and results, presenting findings to both technical and non-technical stakeholders
Stay up-to-date with the latest advancements in machine learning and data science best practices
Support operationalizing models within AvePoint's ecosystem, ensuring responsible data handling and compliance

Preferred

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD not required, but a strong plus)
10+ years of hands-on machine learning experience, including building, evaluating, and streamlining data-driven models for business use
Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong background in data wrangling, cleansing, feature engineering, and ETL pipeline development
Practical experience deploying models in a cloud or distributed environment

Benefits

Competitive market-based compensation (salary, yearly bonus + equity)
Career progression and internal mobility opportunities
Work-life balance through a hybrid working model
Unlimited PTO
Comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO)

Company

AvePoint

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AvePoint is a global leader in data management and data governance, trusted by over 21,000 customers to modernize the digital workplace.

H1B Sponsorship

AvePoint has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2023 (2)
2021 (3)

Funding

Current Stage
Public Company
Total Funding
$744.41M
Key Investors
65 Equity PartnersSixth StreetGoldman Sachs
2025-09-16Post Ipo Secondary· $202.86M
2023-09-18Post Ipo Secondary· $110M
2022-09-21Post Ipo Equity· $1.55M

Leadership Team

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James Zhu
CEO of R&D Center
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Tianyi Jiang
Chief Executive Officer
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Company data provided by crunchbase