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

Harris

(Remote) Software Engineer

Florida, NY · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in MSSQL, Python, and C# (.NET Core). The ideal candidate will be responsible for designing, developing ...

Harris

Software Engineer

Florida, NY

$70K - $80K/yr

The Software Engineer will work with colleagues to deliver reliable and scalable applications that contribute to keeping first responders in the field safe, efficient, and informed with mission ...

CBRE

Maintenance Technician

Fishkill, NY · On-site

As a Mechatronics and Robotics Technician, you'll maintain and troubleshoot machines used in a ... Provide technical feedback to reliability and engineering partners on recurring failure points Core ...

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Showing results 41-51

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 Aug 14, 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 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 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
Infographic showing various Machine Learning Engineer job openings in Wallkill, NY as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,728 per year, or $61.9 per hour.

Senior Diffusion Module Engineer

onsemi

Hopewell Junction, NY • On-site

$114 - $193K/hr

Full-time

Posted 13 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

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 provide process engineering support for additional process areas. In this team-based environment, you will work closely with the integration, process, and equipment teams to deliver robust, high-quality products to our customers.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.
  • Education: BS degree in Engineering or a technical field. An MS degree is a plus 
  • Experience: 7+ years in semiconductor processing or a similar industry 
  • Knowledge of furnace process with a focus on ASM, TEL, and/or Bruce equipment 
  • Experience working in cross-functional teams to achieve goals and metrics 
  • Experience with FMEA risk analysis is a plus 
  • Intermediate-level data analysis skills, specifically in Excel or JMP, using formulas, pivots, and charts, are required 
  • Proficiency in Microsoft Office, particularly PowerPoint 
  • Strong communication skills with experience in presenting technical project details 
  • Self-motivated and results-oriented 
  • Fluency (written and oral) in English is required 

Salary: onsemi is excited to share the base salary range for this position is $114.000 to $193,700 exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of the internal equity of our current team members. We also offer a competitive benefits package. https://www.onsemi.com/site/pdf/Benefits-Summary-USA.pd

  • Own critical Furnace processes and associated health of ASM/TEL/Bruce equipment in a fast-paced, 24/7 manufacturing environment. 
  •  Apply technical skills to implement equipment and process improvements that increase product performance, reduce cost, and increase throughput and yield. 
  •  Design and document experiments utilizing engineering methodology to improve yield, cost, and throughput. 
  •  Resolve complex, time-sensitive technical problems to maintain production or development schedules. 
  •  As a Furnace Engineer, you will be expected to make decisions using data analysis and statistical process control (SPC) techniques. 
  •  Provide daily process and product lot disposition support in the furnace processing area. 
  •  Contribute to the understanding and resolution of all equipment-level shifts in tool performance 
  •  Within the first six to twelve months, develop advanced sustaining responsibilities and contribute to cost reduction, yield improvement, and production throughput increase. 

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