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

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 ...

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 ...

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 ...

Partner closely with engineering teams to evaluate prototypes, guide product trade-offs, and ... machine learning product roles within technology, fintech, or financial services. * Proven ...

Gas Group Engineer

Hopewell Junction, NY · On-site

$65K - $102K/yr

onsemi is seeking a Gas Systems Engineer at our Hopewell Junction, NY site. This position is responsible for supporting the safe, reliable, and efficient operation of semiconductor facility gas ...

... learning and living; and supports college programming by performing numerous event set-ups, break ... Uses light and heavy commercial type floor machines and attachments. * Performs set-ups and break ...

onsemi is seeking a Sr. Diffusion Engineer. You will develop and support the manufacturing of 300mm silicon wafers used for Automotive and Consumer applications throughout the world. You will also ...

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Showing results 1-20

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 Jul 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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:

Mechanical Engineer II

JBT Marel Corporation

Kingston, NY • Hybrid

$75K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

At JBT Marel, what we do matters, we know that the contribution of our employees leads to the success of our business.


Our purpose is to transform the future of food; this guides our vision of being the global leader in food and beverage technology, by harnessing the full power of JBT Marel to partner with our customers and pioneer sustainable innovation.


Our values show who we are at our best. As we Create with Collaboration, Serve with Integrity, Grow with Excellence, and Advance with Innovation.


You will report to the Innovation Team Lead


The Opportunity


At JBT Marel, we're looking for a Mechanical Engineer to design and test mechanical systems for food equipment machinery. You'll work with cross-functional teams to define customer needs, develop new features, and ensure designs meet specifications. Important responsibilities include CAD layouts, DFMEA, cost estimations, and solving mechanical field problems. You'll also collaborate with manufacturing, sourcing, and suppliers to increase the cost/value relationship of our designs.


This position is located within Kingston, NY.


Responsibilities:


Main Tasks

  • Work in teams on the development of concepts, testing, investigation and verification of designs
  • Pay attention to the implementation of the function, cleaning aspects, reliability, safety, production technologies and cost price
  • To build the maintenance and mechanical design of machinery, layouts, assemblies and components, to fulfill the design and requirements, to prepare assembly/detail drawings and part lists
  • Work on the mechanical deliverables according to plan
  • Make sure that the work is carried out following Company guidelines (MEDS) and international standards
  • Part of the role can be to delegate tasks to engineering partners

Skills and Abilities

  • Knowledge of relevant production technics, materials and components
  • Knowledge of the food processing industry requirements
  • Experience with mechanics and industrial automation
  • Understand the value of the reuse of others' ideas, standardization and modularization
  • work with customers, vendors and co-workers in a courteous and tactful manner
  • You will works well under time constraints and with possible production setbacks
  • Enjoy learning and researching
  • Ability and interest in working with a multicultural company.
  • Is a team player that enjoys working with people and deals well with feedback

Qualifications:

  • Bachelor's degree in Mechanical Engineering or Diploma in Mechanical Technology or comparable work experience
  • Experience with or knowledge of 3D design tools
  • Experience with and comfort working in multicultural, multi-discipline organization
  • 5+ years of experience in automatic, industrial food processing equipment or similar fields in product development is a.
  • Proficiency in CAD systems such as AutoCAD, Inventor, Creo, or similar.
  • Demonstrated mechanical aptitude through hands-on experience in design, testing, or troubleshooting.
  • Experience with mechanical design principles and product development processes.
  • Apply advanced mathematical concepts and engineering principles.
  • Familiarity with lifecycle management of design data, including CAD models, drawings, and ECNs.

Travel & Location

  • You will be onsite/hybrid and travel up to 10-15% of the time.

COMPENSATION RANGE: $75,000- $110,000 - Please note the salary information shown above is a general guideline only. Starting salary will vary by location, qualifications, and prior experience.


We are committed to our employees and will provide you with development and opportunities to allow you to be the best version of yourself at work, at home, and in your community.


We encourage development - ensuring new experiences and challenges at JBT Marel to feed your growth!


Benefits: JBT Corporation offers benefits on day 1 of your employment. Including: Medical, Dental, life insurance, short-term and long-term disability, family leave, vision coverage, and a matched 401(k) plan.


Commitment to Diversity: Diversity, Equity, Inclusion, and Belonging is a fundamental value to JBT Marel and critical to our future success. A thoughtful, focused, and sustained effort to work towards our DEIB goals is not just a principled choice, but also a business imperative.


Use of Technology in Our Hiring Process


JBT Marel uses technology-assisted tools, including artificial intelligence (AI), to support the review of applications.


These tools help our recruiting teamsidentifyskills and experience relevant to the role based on job-related criteria.


All applications are reviewed by people, and AI is not used to make hiring decisions independently. We are committed to fair,consistentand inclusive hiring practices globally.

Equal Opportunity Employment:

JBT Marel provides equal employment opportunity to all employees and qualified applicants for employment. We will not tolerate any form of discrimination against any employee or applicant for employment because of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, citizenship, or any other characteristic protected by applicable federal, state, or local laws. At JB Marel, we apply this policy to all our employment practices, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training. We make hiring decisions based solely on qualifications, merit and business needs at the time. JBT Marel will reasonably accommodate applicants who need adjustments to participate in the application or interview process. If you require assistance or accommodation during the application process, please

contact JBT Marel at 844-286-4524.


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