ZipRecruiter

Log In

1

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

JBT Corporation

Mechanical Engineer II

Kingston, NY · On-site

$80 - $100/hr

To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to ... Enjoy learning and researching* Ability and interest in working with a multicultural company.* Is a ...

New

JBT Corporation

Aftermarket Engineer

Kingston, NY · On-site

$75 - $92/hr

JBT Marel**, we're looking for an After Job Market Engineer to design, test, and evaluate mechanical systems for food equipment machinery. You'll work closely with cross-functional teams to define ...

New

JBT Marel Corporation

Mechanical Engineer II

Kingston, NY · Hybrid

$75K - $110K/yr

To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to ... Enjoy learning and researching * Ability and interest in working with a multicultural company. * Is ...

JBT Marel Corporation

Mechanical Engineer II

Kingston, NY · On-site

$75K - $110K/yr

To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to ... Enjoy learning and researching * Ability and interest in working with a multicultural company. * Is ...

previous page

Showing results 41-60

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 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.

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
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.

Compliance SW Developer Intern: Systems Assurance - Poughkeepsie, NY - 2027

IBM

Poughkeepsie, NY • On-site

$76 - $139/hr

Other

Posted 4 days ago

Key responsibilities

  • Design and build AI-powered solutions using watsonx Orchestrate, knowledge bases, tools, skills, and MCP servers

  • Develop software using modern programming languages, primarily Python and TypeScript

  • Create AI agents that automate repetitive tasks and improve operational efficiency

IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 247 rated software companies

Job description

Spend your internship building AI agents that solve real business problems.

As a Software Developer Intern on IBM Infrastructure, you'll work with cutting-edge technologies including watsonx Orchestrate, Agentic AI, Python, TypeScript, cloud platforms, MCP servers, and enterprise development tools to create solutions that automate work, improve productivity, and drive innovation across IBM.

This is not a shadow-and-observe internship. From day one, you'll contribute to real projects, collaborate with experienced software engineers and AI practitioners, and gain hands‑on experience developing solutions used in a global enterprise environment. You'll have ownership, mentorship, and the opportunity to make a measurable impact while building skills that will set you apart in today's rapidly evolving AI landscape.

At IBM, we're committed to helping students grow into exceptional engineers. High-performing interns will be considered for future early-career opportunities.

Why You'll Love This Internship
  • Build and deploy AI agents that solve real business challenges
  • Work with modern technologies including Python, TypeScript, cloud platforms, APIs, and Agentic AI tools
  • Learn directly from experienced software engineers and AI experts
  • Own meaningful projects with visible business impact
  • Gain hands‑on experience with enterprise-scale software development
  • Develop technical, communication, and leadership skills
  • Explore future career opportunities within IBM
Your role and responsibilities What You'll Do
  • Design and build AI-powered solutions using watsonx Orchestrate, knowledge bases, tools, skills, and MCP servers
  • Develop software using modern programming languages, primarily Python and TypeScript
  • Create AI agents that automate repetitive tasks and improve operational efficiency
  • Build integrations using APIs, cloud services, and enterprise platforms
  • Collaborate with software engineers, architects, and AI practitioners to deliver high-quality solutions
  • Apply software development best practices, including source control, testing, CI/CD, and Agile methodologies
  • Explore emerging AI technologies and evaluate how they can be applied to real-world business challenges
  • Present your work, share ideas, and contribute to technical discussions within the team
  • Learn how software moves from concept through development, deployment, and production support
Technologies You'll Use

watsonx Orchestrate, Agentic AI, Generative AI, Python, TypeScript, GitHub Enterprise, MCP Servers, IBM Cloud, Hybrid Cloud Technologies, REST APIs, CI/CD Pipelines, Relational and NoSQL Databases, and modern enterprise development tools.

What Success Looks Like

Successful interns quickly become contributing members of the team. Past interns have built AI-powered solutions that automated manual processes, improved team productivity, and delivered measurable value. By the end of the internship, you will have built and deployed real software solutions, gained experience with modern AI and software engineering practices, expanded your professional network, and developed skills that prepare you for a successful career in software engineering."

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise
  • Experience using Git or other version control systems
  • Interest in Artificial Intelligence, Generative AI, or Agentic AI solutions
  • Familiarity with cloud platforms such as IBM Cloud, AWS, Azure, or GCP
  • Experience building applications that interact with APIs
  • Exposure to relational or NoSQL databases
  • Familiarity with CI/CD pipelines or automation tools
  • Coursework or personal projects involving AI, machine learning, semantic search, vector databases, or intelligent applications
Preferred technical and professional experience
  • Familiarity with DevOps Tools: Exposure to DevOps tools and practices is beneficial for this role, allowing for smoother collaboration and automation in the software development lifecycle.
  • Knowledge of Front-End Development: Basic understanding of front-end development principles and exposure to front-end development frameworks can be advantageous in designing and delivering comprehensive software solutions.
  • Understanding of L3 Support Engineering: Interest in L3 support engineering and exposure to debugging techniques can be helpful in resolving complex customer-reported issues.
ABOUT BUSINESS UNIT

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future.Join us to help build our leading-edge technology portfoliodesigned for cognitive business and optimized for cloud computing.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Compliance SW Developer Intern: Systems Assurance - Poughkeepsie, NY - 2027

Date posted

27-Aug-2026

Job ID

130759

City / Township / Village

POUGHKEEPSIE

State / Province

New York

Country

United States

Work arrangement

Hybrid

Area of work

Infrastructure & Technology

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

75,600.00

Projected Maximum Salary per year

138,600.00

Position type

Internship

No Travel

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

#J-18808-Ljbffr

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media

FacebookTwitter

View All IBM Jobs

Apply