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Senior Machine Learning Engineer Jobs in New Rochelle, NY

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 ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$114K - $157K/yr

The Role We are seeking an experienced Senior Machine Learning Engineer passionate about building impactful products in the search and advertising technology ecosystem. As part of our established AI ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site

$130K - $200K/yr

We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site +1

$130K - $200K/yr

We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and ...

Senior Machine Learning Engineer II

Manhattan, NY ยท On-site

$115K - $158K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Senior Machine Learning Engineer I

Manhattan, NY ยท On-site

$135K - $178K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system--leading the design and production deployment of multimodal ML models ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking, bid optimization, recommendation, and user-level prediction across our demand and supply businesses ...

Showing results 21-40

Senior Machine Learning Engineer information

See New Rochelle, NY salary details

$61.2K

$130.2K

$188.8K

How much do senior machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior machine learning engineer in New Rochelle, NY is $130,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $147,700.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near New Rochelle, NY are hiring for Senior Machine Learning Engineer jobs?

Cities near New Rochelle, NY with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer

AvePoint

Jersey City, NJ โ€ข On-site

$190K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

About AvePoint:ย 

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide 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 our solutions available in more than 100 cloud marketplaces. To learn more, visitย www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

About the role:ย 

We are seeking an analytical and innovative Seniorย 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. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.ย 

Key responsibilities:ย 

  • Solution Design:ย Design, build, and deploy machine learningย modelsย leveragingย structured and unstructured dataย that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities.ย Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.ย 
  • System Integration:ย Architectย the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, andย optimalย performance. Collaborate with development teams to implement these integrations effectively.ย 
  • Data Management:ย Design data pipelines and storage solutions for handling large volumes of dataย requiredย for AI models. Ensure data security, privacy, and compliance with relevant regulations.ย 
  • Scalability and Performance Optimization:ย Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resourceย utilization.ย 
  • Security and Compliance:ย 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.ย 
  • Execution & Adoption Ownership:ย Proactivelyย identifyย and remove barriers to execution across data, engineering, and product workflows to ensureย timelyย 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.ย 

The ideal candidate has:ย 

  • 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, dataย scienceย or natural language processingย 
  • Bachelor's orย Master's degree in Computer Science, Artificial Intelligence, orย a relatedย field.ย 
  • Preferably worked on enriching SaaS products with AI/ML functionalitiesย 
  • Strongย proficiencyย in AI technologies, machine learning, and deep learning frameworks.ย 
  • Previousย experienceย determiningย measurable, revenue generating or business solving outcomes and showing how AI can drive these.ย 
  • Strategic thinking skillsย includingย 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.ย 
  • Great ability to build trust through collaboration with multiple teams, articulateย a vision, build consensus, and get hands-on to drive implementation.ย 

Benefits We Offerย ย 

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

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.ย 

If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you!ย 

The Salary Range for this role isย $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. 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). We welcome compensation discussions-apply even if your expectations fall outside the range.