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

Accenture

Agentic DevOps Engineer

Carmel, NY · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical ...

hireVouch

Front End SW Engineer

The Valley, NY · On-site

... Machine Learning. Software Engineers work in collaboration with our Product Designers, Product Managers and researchers/scientists to solve problems and further the application of technology in the ...

Sprinklr

Senior Data Scientist

Florida, NY

They will engineer the underlying data sources, where needed, to support predictive capabilities ... Masters or PhD in a field that is emphasized in building and maintaining machine learning models ...

Motorola

Director of Computer Vision

Florida, NY · On-site

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Voice AI

Florida, NY · On-site

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Wallkill, NY

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 Jun 13, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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.

More about Machine Learning Engineer jobs
What cities near Wallkill, NY are hiring for Machine Learning Engineer jobs? Cities near Wallkill, NY with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineering Manager

Machine Learning Engineering Manager

Autodesk

Florida, NY • On-site

Other

Posted yesterday

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 189 rated software companies

Job description

Job Requisition ID #

26WD99363

Position Overview

If you're looking to make a significant impact and shape the future of the AEC industry, this is the role for you. AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC industry. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team to collaborate across organizations to build the latest foundation models and generative AI tools for the AEC industry. You will also ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.

You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

We support hybrid work, and you work near our Toronto, Canada or Boston, MA.

Responsibilities

  • Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps

  • Build a new team by recruiting talent from diverse backgrounds and perspectives

  • Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions

  • Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals

  • Foster a culture of innovation, continuous improvement, and excellence

  • Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality

  • Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations

  • Educate leaders at Autodesk on best uses and practices of AI

  • Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless

Minimum Qualifications

  • MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field

  • 5+ years of experience in machine learning engineering or related field

  • 3+ years of experience as a manager

  • Experience building an innovative and creative team culture

  • Ability to break down a large, long lead projects into shorter, clear milestones to deliver value incrementally

  • Strong interpersonal skills and ability to work across many organizations

  • Experience with Scrum and Agile development processes and methodologies

Preferred Qualifications

  • Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards

  • Experience training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow

  • Strong fundamentals in 3D geometry and geometric computer vision

  • Exposure to Cloud Computing in AWS and using the SageMaker Studio platform

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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