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

AI Engineer

Buffalo, NY ยท On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

NGA AI Engineer Manager

Buffalo, NY ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Design, build, train, and optimize machine learning and deep learning models for production use ... Mentor junior engineers and support team-level technical excellence What We're Looking For

... Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like ...

US Tech - AI Engineering Manager

Buffalo, NY ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise ...

Postdoctoral Associate

Buffalo, NY ยท On-site

$65K - $75K/yr

The Snell Laboratory collaborates closely with AI and classical machine learning developers, and the selected candidate should have expertise or an interest in acquiring expertise in AI and classical ...

... machine learning applications. * Evaluate emerging technologies and determine applicability for ... Mentor engineers, technicians, and condition monitoring specialists Qualifications Required:

New

Director, Data Science

Boston, NY ยท On-site

$235K - $307K/yr

... machine learning and deep learning, particularly in biological applications * Experience with large language models (LLM) * Demonstrated ability to collaborate effectively with engineering teams on ...

Showing results 21-40

Machine Learning Engineer information

See Buffalo, NY salary details

$30.5K

$124.7K

$187.4K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer in Buffalo, NY is $124,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Buffalo, NY?

The most popular types of Machine Learning Engineer jobs in Buffalo, NY are:

What are popular job titles related to Machine Learning Engineer jobs in Buffalo, NY?

For Machine Learning Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Buffalo, NY look for?

The top searched job categories for Machine Learning Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Machine Learning Engineer jobs?

Cities near Buffalo, NY with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,734 per year, or $60 per hour.

Senior CV ML Engineer - High-Throughput Damage Detection

BetterCloud

Buffalo, NY โ€ข On-site

$120 - $150/hr

Other

Posted 8 days ago


Job description

BetterCloud in Buffalo, NY, is seeking a Machine Learning Engineer III to enhance its ML inspection team focused on computer vision solutions. In this role, you'll drive the development of efficient damage detection models and robust data pipelines that perform well in production. The ideal candidate will have graduate-level education and several years of hands-on computer vision experience using frameworks like PyTorch and TensorFlow.

You will manage the model lifecycle and collaborate with business stakeholders to create production-grade solutions. This position directly impacts the capabilities of the inspection platform, emphasizing precision and performance.

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