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

... 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 ...

... 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 ...

SR. Software Engineer ( digital/eCommerce) for Retail Services & Systems, Inc dba Total Wine & More to work at our Boca Raton, FL loc. May telecommute 1 day/week. Build reusable software components ...

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 ...

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 ...

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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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 24, 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:
Infographic showing various Machine Learning Engineer job openings in Wallkill, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $128,728 per year, or $61.9 per hour.

Janitor, Part Time

Vassar

Poughkeepsie, NY

$23.93/hr

Part-time

Posted 19 days ago


Job description

Department

Facilities Operations - Administrative Office

Job Family

Service - Union

Vassar College is deeply committed to providing equal employment opportunities to all applicants and employees by promoting an environment of transparency and respect for differences. We welcome applications from individuals of all backgrounds who meet the qualifications of a posting. If you need to request an accommodation to fully participate in the search process, please contact careers@vassar.edu.

Job Description

Schedule: Saturday and Sunday, 6:00am - 2:30pm (16 hours per week)

Position Summary:

The Janitor maintains the cleanliness levels in campus facilities providing an environment that is conducive to teaching, learning and living; and supports college programming by performing numerous event set-ups, break downs and moves.

Responsibilities:

  • Performs general cleaning including but not limited to restrooms, bathrooms, public spaces, classrooms, offices and locker/shower rooms. Student rooms are cleaned annually.

  • Performs floor care tasks including but not limited to vacuuming, mopping, stripping, waxing, buffing and carpet shampooing; and performs operator maintenance on equipment.

  • Uses light and heavy commercial type floor machines and attachments.

  • Performs set-ups and break downs for college events.

  • Moves heavy furniture, supplies and miscellaneous equipment as requested.

  • Collects trash and recyclable material.

  • Shovels snow from steps and walks, including days when the College is closed due to inclement weather.

  • Changes light bulbs, except specialized conditions.

  • Inspects fire extinguishers monthly.

  • Overtime, including responding to after-hour and weekend emergencies, is assigned according to seniority guidelines.

Required skills, knowledge, and abilities:

  • One (1) year experience in the maintenance and care of facilities in a similar environment.

  • Ability to move, position, transport and place objects up to and including 75 pounds.

  • Ability to work, ascend and descend on ladders and use a Genie lift.

  • Must possess and maintain a valid driver's license for at least 2 years.

  • Ability to communicate effectively in English, including understanding, speaking, reading and writing.

  • Willingness to work overtime as available. Overtime is assigned according to seniority guidelines.

Pay Rate: $23.93 per hour