1

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

Sr. Software Engineer

Florida, NY · On-site

$172K - $241K/yr

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 ...

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 ...

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 ...

next page

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:
Software Engineer

$74K - $111K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

We are currently recruiting for a Software Engineer to be responsible for developing software and creating system integrations by programmatic means to create value for our staff and members across the organization's delivery channels. Utilizing vendor supplied software development kits, vendor supplied APIs, internally developed APIs, and internal source code repositories to create and enhance applications to benefit our member and staff experience. Creating, maintaining, and developing tooling to efficiently deploy updates to systems across the organization. Assist in maintaining our software development lifecycle framework and internal software development training materials.
Responsibilities include, but are not limited to:
  • Ensuring software meets all requirements of usability, quality, security, scalability, extensibility, and sustainability. Be responsible for the creation and support of custom-built applications and integrations. Participate in project teams to develop software solutions using internal and cloud-based systems. Work with the Business Analyst team to create high-level product specifications with attention to system integration, feasibility, and long-term cost of ownership. Design and develop common components, services, and frameworks to be used by the Development Team. Work closely with cross functional application teams to develop POCs and solutions. Participate in the development, deployment, and maintenance of production applications.
  • Partnering with the Software Engineering Manager and CIO to develop product roadmaps for platforms related to the organization's delivery channels. Collaborate with product owners and the project management team to ensure work is prioritized correctly. Create and execute a plan to deliver working software iteratively and continuously. Utilize best practices, methodologies, and coding standards to provide the most value possible to our members and staff.
  • Providing insight and expertise in the development of standards, architectural governance, and design patterns, including technical development mentorship. Maintain a software architecture to support both immediate and long-term needs.

Performance Measurements include:
  • Demonstrating thorough knowledge and skills in developing software utilizing current programming languages, design patterns, methodologies, and platforms.
  • Maintaining the experience and proven ability to participate in a full stack development team.
  • The ability to synthesize information from multiple sources, remove obstacles, implement effective outcomes, and provide required documentation.
  • Exhibiting a high level of interpersonal, verbal communication, and empathy necessary to relate to other people at their systems knowledge level.
  • Maintaining a self-motivated interest in the job. Organizes and prioritizes work without direction from supervisor. Consistently exhibits a commitment to the team and the delivery of value to the members of the credit union and staff. Communicates status of critical areas regularly to the appropriate parties including, but not limited to, the CIO, CEO, and Board of Directors.

Knowledge and Skills:
  • Two to Five years of similar or related experience, to include: .NET Development (C#, .Net Core), TypeScript/JavaScript Development, JavaScript frameworks such as Angular, React, Vue, Svelte, etc., creating and implementing CI/CD pipelines, cloud technologies and services in Azure DevOps/GitHub, Python development (Jinja templating, Flask, Django, etc.), message brokers such as Apache Kafka/RabbitMQ, databases such as PostgreSQL, Redis caching and data store solutions, deployment/container orchestration using Kubernetes and Helm
  • Working knowledge of AI coding agents such as Claude Code to assist with development tasks to improve efficiency.
  • (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).
  • Work involves contact with persons beyond immediate associates regarding routine matters for the purpose of giving or obtaining information which may require some discussion. Outside contacts take the form of service to the public (members or vendors), requiring ordinary courtesy in providing assistance and information.
  • Experience with any of the following is a plus: gRPC and REST API design and implementation, familiarity with OWASP Top 10 security principles, authentication/authorization protocols including OIDC and OAuth2, experience with the ELK Stack (Elasticsearch, Logstash, Kibana) for logging and observability.
  • Must be Bondable; have and maintain certification status.

Physical Requirements
Is able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 20 lbs. Must be capable of climbing / descending stairs in an emergency situation. Normal range of vision and hearing abilities required. Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators. Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary. Must be able to work extended hours or travel off site whenever required or requested by management. Must be capable of regular, reliable and timely attendance.
Working Conditions
Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.
Mental and/or Emotional Requirements
Must be able to perform job functions independently or with limited supervision and work effectively either on own or as part of a team. Must be able to read and carry out various written instructions and follow oral instructions. Must be able to complete basic mathematical calculations, spell accurately, and understand computer basics. Must be able to speak clearly and deliver information in a logical and understandable sequence. Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of customer service and discretion when dealing with the public. Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace. Must be able to effectively handle multiple, simultaneous, and changing priorities. Must be capable of exercising highest level of discretion on both internal and external confidential matters.
Work is generally performed within an office environment, primarily in a climate-controlled environment with minimal safety/health hazard potential. Sedentary, sitting, standing, walking, occasional lifting (overhead, waist level) from floor, bending, frequent near vision use for reading and computer use; standard office equipment available.
Benefits include:
  • Medical, Dental and Vision - with no waiting period for coverage!
  • 401(k) with employer match and non-elective employer contribution
  • Paid Vacation, Sick time and Holidays
  • Life Insurance
  • Short-Term and Long-Term Disability Insurance
  • Employee Assistance Program
  • Tuition Assistance Program
  • Professional Development Programs
  • Discounted Loan Rates and Fees

Equal Employment Opportunity Commitment
Mid-Hudson Valley Federal Credit Union (MHV) is an Equal Opportunity Employer. It is our policy to recruit and select applicants for employment without regard to age, sex, sexual orientation, religion, race, creed, color, national origin, military or veteran status, marital status, disability, genetic information, predisposition or carrier status, domestic violence victim status, or any other status protected by applicable law. Reasonable accommodation is provided in compliance with state and federal law. Please tell us if you require a reasonable accommodation to complete the screening and hiring process or if some sort of change or adjustment to the application/interviewing process is required.