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Machine Learning Engineer Jobs in Wallkill, NY (NOW HIRING)

This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and ...

Senior Solutions Engineer - SLED

Florida, NY · On-site +1

$171K - $205K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance within the enterprise * One or more of the three major cloud service providers (AWS, Azure or GCP)

... machine learning to generative AI--to help make organizations more responsive, productive, and ... Job Title Software Developer Intern 2027 Date posted 19-Aug-2026 Job ID 129778 City / Township ...

... machine learning to generative AI--to help make organizations more responsive, productive, and ... Software Engineering Employment type Regular Contract type Regular Projected Minimum Salary per ...

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Software Developer Intern 2027 Date posted 11-Aug-2026 Job ID 128497 City / Township ...

Software Developer Intern 2027

Poughkeepsie, NY · On-site

$19 - $25/hr

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Software Developer Intern 2027 Date posted 11-Aug-2026 Job ID 128497 City / Township ...

Software Developer Intern 2027

Poughkeepsie, NY · On-site

$19 - $25/hr

Your role and responsibilities We are looking for Software Developer Interns to join our ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

Machinist

Kingston, NY

$27.98 - $43.87/hr

Why IPS? If you're searching for a place where you can grow, continue learning, and make a ... based on engineering drawings, samples, or measurements. • Perform machining and assembly ...

We are looking for Software Developer Interns to join our engineering teams. As an intern, you will ... machine learning to generative AI--to help make organizations more responsive, productive, and ...

Showing results 21-40

Machine Learning Engineer information

See Wallkill, NY salary details

$31.5K

$128.7K

$193.4K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Wallkill, NY is $128,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Wallkill, NY are hiring for Machine Learning Engineer jobs?

Cities near Wallkill, NY with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Wallkill, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $128,728 per year, or $61.9 per hour.

Principal Product Manager - Computer Vision

Motorola

Florida, NY • On-site

Full-time

Medical, Dental, Retirement

Re-posted 28 days ago


Key responsibilities

  • Define the vision, strategy, and roadmap for the Computer Vision Platform.

  • Engage with internal teams to understand their computer vision needs, define platform requirements, and drive adoption of platform services.

  • Own the product lifecycle for central computer vision models and foundational AI infrastructure, including deployment, adoption, and deprecation.


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewMotorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.
Job Description

Reporting to the VP of AI for Motorola Solutions, the Principal Product Manager - Computer Vision will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale Computer Vision solutions. They will be responsible for defining and driving the strategy, roadmap, and measurable success of our core Computer Vision Platform. This role is pivotal in partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure across Motorola's product portfolio. This includes product management for our enterprise-scale cloud and edge AI platforms, ensuring our AI investments translate into quantifiable, improved customer and business outcomes. This role also includes product ownership for select end-to-end computer vision-based products.

Key Responsibilities

The Principal Product Manager will own the strategy, definition, and roadmap across the following core areas, with an emphasis on the Computer Vision Platform:

  • Platform Product Strategy & Roadmap: Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.

  • Internal Partner Management & Alignment: Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.

  • Product Definition & Requirements: Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products.

  • AI Model Lifecycle Ownership: Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.

  • Platform Success Metrics: Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement.

  • Market & Customer Insights: Conduct market research, competitive analysis, and customer/partner discovery to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.

Qualifications & Experience

  • 10+ years of product management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains.

  • Technical Acumen: Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements.

  • Product Strategy & Metrics: Proven experience defining product vision, strategy, and roadmaps. Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) and drive organizational change and accountability.

  • Strong analytical skills, with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.

  • Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely, including presenting roadmap elements and business cases.

  • Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs.

  • Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.

Target Base Salary Range:$220,000 USD - $250,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 10+ years of product management experience in a technical domain


Travel Requirements10-25%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928