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Physics Informed Machine Learning Jobs in Alden, NY

M&T Bank

Lead AI Platform Engineer

Buffalo, NY · On-site

$116K - $194K/yr

Working knowledge of machine learning and large language model (LLM) fundamentals * Experience ... informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual ...

Datadog

Senior Product Manager - Search

Boston, NY · Hybrid

$119K - $158K/yr

... and machine learning models to produce recommendations. The Search team is relatively new, and ... informed decision making * Engage directly with customers and internal product teams to deeply ...

Fermilab

Cryogenic Engineer

Batavia, NY · On-site

$88K - $116K/yr

Knowledge of Artificial Intelligence and Machine Learning tools, preferred Physical Activity and ... Fermilab is America's premier laboratory for particle physics and accelerator research, funded by ...

Pwc

GenAI Python Systems Engineer-Manager

Buffalo, NY

$99K - $232K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

Fermilab

High Level RF Engineer

Batavia, NY · On-site

$88K - $116K/yr

... learning of particle accelerator systems. What your day-to-day as a High-Level RF Engineer at ... The position is normally scheduled for a daytime shift, though occasional off-shift machine studies ...

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Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Alden, NY is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $11.88 and $24.23 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities near Alden, NY are hiring for Physics Informed Machine Learning jobs?

Cities near Alden, NY with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Lead AI Platform Engineer

M&T Bank

Buffalo, NY • On-site

$116K - $194K/yr

Full-time

Posted 17 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 171 rated banks

Job description

Role Summary

The Lead AI Platform Engineer is a handson technical contributor responsible for designing, developing, and integrating Generative AI-enabled capabilities within M&T Bank's secure, governed enterprise environment. This role combines strong software engineering fundamentals with applied GenAI experience and partners closely with product, architecture, and engineering teams to deliver scalable, reliable, and responsible AI solutions.

Key Responsibilities

  • Design, develop, and support GenAIenabled features including AIassisted coding, documentation, testing, analysis, and workflow automation

  • Implement and maintain retrievalaugmented generation (RAG) solutions, including data ingestion, embeddings, vector stores, and search pipelines

  • Design and build agentbased and toolinvoking GenAI workflows, including multistep LLM interactions using approved enterprise platforms

  • Develop and integrate APIs and backend services connecting LLMs to internal systems and approved thirdparty tools

  • Lead prompt design, testing, and iteration to improve output quality, relevance, and safety

  • Participate in model testing, evaluation, and performance analysis using established enterprise frameworks

  • Contribute handson development using modern languages and frameworks (e.g., Java, Python, C#)

  • Collaborate with Product Managers, Architects, and Engineers to translate requirements into technical solutions

  • Provide technical guidance and mentoring to less experienced engineers

  • Follow and promote M&T Bank SDLC, security, and responsible AI standards

Required Qualifications

  • Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year's education and/or relevant work experience, including a minimum of 5 years' system analysis and/or application development work experience.

  • Strong foundation in software engineering principles, data structures, and algorithms

  • Handson experience with Java, Python, or C# in production environments

  • Experience with RESTful APIs, APIdriven development, and Gitbased version control

  • Working knowledge of machine learning and large language model (LLM) fundamentals

  • Experience working within enterprise SDLC, security, and compliance standards

Preferred Qualifications

  • Experience implementing Generative AI solutions in enterprise or regulated environments

  • Handson experience with RAG architectures, embeddings, and vector databases

  • Familiarity with Transformerbased models, attention mechanisms, and tokenization

  • Experience with Microsoft Azure, including Azurebased AI services and GenAI platforms

  • Exposure to CI/CD pipelines, DevOps tooling, and automated testing

  • Understanding of responsible AI, data privacy, and model governance principles

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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