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

Vassar College

Janitor, Part Time

Poughkeepsie, NY · On-site

$23.24/hr

... 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 ...

Vassar

Janitor, Part Time

Poughkeepsie, NY · On-site

$23.24/hr

... 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 ...

Accenture

Senior Advanced AI Research Engineer

Carmel, NY · On-site

$105K - $144K/yr

You are a strong Python engineer who can move fluently between an experiment and a well-structured service or SDK module. You write research artefacts and production code in the same week, and you ...

onsemi

Senior Diffusion Engineer

Hopewell Junction, NY

$114 - $193K/hr

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 ...

Silvervine Software

Sr. Software Engineer

Florida, NY

$126K - $166K/yr

Silvervine Software is seeking an experienced Sr. Software Developer to join our team in a mid-to-senior capacity. You will take ownership of complex development tasks, drive quality across the team ...

Harris

(Remote) Senior Software Engineer

Florida, NY · Remote

$126K - $166K/yr

MEDHOST, a division of Harris; is seeking a Senior Software Engineer who leverages extensive knowledge of architectural and design patterns, core design concepts, and best practices in unit testing ...

Harris

(Remote) Senior Software Engineer

Florida, NY · Remote

$126K - $166K/yr

MEDHOST, a division of Harris; is seeking a Senior Software Engineer who leverages extensive knowledge of architectural and design patterns, core design concepts, and best practices in unit testing ...

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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 Jun 13, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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
Senior Software Engineer - Confluent Cloud Traffic

Senior Software Engineer - Confluent Cloud Traffic

IBM

Poughkeepsie, NY • On-site, Remote

$121K - $159K/yr

Other

Posted 26 days ago

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

99th of 189 rated software companies

Job description

Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. With Confluent, data doesn't sit still. We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them.

Your role and responsibilities

To realize Confluent's enormous potential, we are looking for software engineers, at various levels, to grow our Traffic team which is responsible for building and managing the networking fabric of Confluent Cloud. Cloud networking is a strategic investment area for Confluent with the potential to impact the company's top and bottom line. The data plane area in the Traffic team focuses on the performance, security, reliability, and cost optimizations for all traffic that ingresses and egresses a customer's Kafka cluster on Confluent Cloud.

We are looking for someone with an interest in building large-scale distributed systems, with a focus on building and managing network data planes for containerized workloads in the cloud. The ideal candidate would be passionate about network data plane performance, scale, cost optimizations, and building robust software.

Build the software underpinning the mission-critical Confluent Cloud network data plane platform. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems.

Independently drive execution of software projects to deliver complex projects in production with a focus on quality.

Build upon open source software to deliver business impact.

Troubleshoot issues and improve ops for complex technical stack that spans all the 3 clouds and includes microservices, containers, and virtualization.

This job can be performed from anywhere in the US

Required technical and professional expertise

  • BS, MS, or PhD in computer science or a related field, or equivalent work experience

  • 5+ years of relevant cloud infrastructure/cloud networking experience

  • Strong fundamentals in distributed systems design and development

  • Experience building and operating large-scale systems

  • Solid understanding of basic systems operations (disk, network, operating systems, etc)

  • A self-starter with the ability to work effectively in teams

  • Proficiency in C++, Go, Python, or other statically typed languages

  • Experience/knowledge with public clouds (AWS, Azure or GCP)

Preferred technical and professional experience

  • Experience with Kubernetes Networking

  • Experience with Envoy proxy

  • Experience with Linux kernel networking, eBPF is a huge plus

  • A Strong networking background combined with your software engineering experience

IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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