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

University at Buffalo

Postdoctoral Associate

Buffalo, NY · On-site

$65K - $75K/yr

Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate ... The Snell Laboratory collaborates closely with AI and classical machine learning developers, and ...

Pwc

AI Engineer

Buffalo, NY

$55K - $187K/yr

... Machine Learning-based solutions at scale. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others, and maintain professional standards. You will focus on ...

Keybank

Quantitative Analytics Lead Associate

Buffalo, NY

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Use statistical analysis and machine learning to develop, maintain, and anticipate considerations ...

Keybank

Quant Analytics Lead Assoc

Amherst, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Use statistical analysis and machine learning to develop, maintain, and anticipate considerations ...

New

Keybank

Lead Quantitative Analytics Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Use statistical analysis and machine learning to develop, maintain, and anticipate considerations ...

KeyBank

Lead Quantitative Analytics Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Use statistical analysis and machine learning to develop, maintain, and anticipate considerations ...

Pwc

AI Engineer

Buffalo, NY · On-site

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

KeyCorp

Quantitative Analytics Lead Associate

Buffalo, NY · On-site

$71K - $125K/yr

... machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and ...

RICH PRODUCTS

Manager, AI Solutions

Buffalo, NY · On-site

Design, develop, and deploy predictive models, machine learning solutions, generative AI ... Please contact Rich's Associate Experience Network at hrhelp@rich.com if you need assistance ...

University at Buffalo

Postdoctoral Associate

Buffalo, NY · On-site

$60K/yr

Posting Details Position Information Fiscal Year 2026-2027 Position Title Postdoctoral Associate ... machine learning approaches for research. • Strong command of statistical methods and their ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Buffalo, NY

Associate Machine Learning information

See Buffalo, NY salary details

$30.5K

$128.9K

$304.6K

How much do associate machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for associate machine learning in Buffalo, NY is $128,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $195,700.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

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

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

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

Associate Machine Learning jobs near you

Postdoctoral Associate, Materials Design and Innovation

Buffalo, NY • On-site

University at Buffalo
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about University at Buffaloexternal

$60K/yr

Full-time

Posted 8 days ago

University at Buffalo rating

7.2

Company rating: 7.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Posting Details
Position Information
Fiscal Year
2026-2027
Position Title
Postdoctoral Associate, Materials Design and Innovation
Classification Title
Postdoctoral Associate
Department
Department of Materials Design and Innovation
Posting Number
R260134
Posting Link
https://www.ubjobs.buffalo.edu/postings/64174
Employer
Research Foundation
Position Type
RF Professional
Job Type
Full-Time
Appointment Term
Salary Grade
E.89
Posting Detail Information
Position Summary
The Department of Materials Design and Innovation at the University at Buffalo invites applications for a full-time Postdoctoral Associate in the Peng Research Group. The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery.
  • The position will primarily support a U.S. Department of Energy Genesis Mission project developing closed-loop and agentic AI workflows for chemical-manufacturing research.
  • The associate will also contribute to an American Chemical Society Petroleum Research Fund project focused on the data-driven discovery of intermetallic alloy catalysts with unusual electronic structures.
  • The research will combine first-principles atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data.
  • The associate will develop reproducible computational workflows, collaborate with researchers across multiple institutions and disciplines, and communicate research findings through publications, presentations, technical reports, software, and research datasets.

Learn more:
  • Our benefits, where we prioritize your well-being and success to enhance every aspect of your life.
  • Being a part of the University at Buffalo community.

As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.
Minimum Qualifications
  • Doctoral degree in materials science and engineering, chemical engineering, chemistry, physics, computational science, or a closely related field. All degree requirements, including the dissertation, must be completed by the date of appointment.
  • Demonstrated research experience with density functional theory or closely related first-principles atomistic simulation methods.
  • Demonstrated research experience applying artificial intelligence or machine learning to scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models.
  • Proficiency in Python and experience working in Linux and high-performance-computing environments.
  • Experience developing or using automated and reproducible computational research workflows.
  • Ability to conduct computational research independently and analyze and interpret research data.
  • Strong written and oral communication skills and the ability to work effectively in a collaborative research environment.

Preferred Qualifications
  • Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems.
  • Familiarity with uncertainty quantification, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery.
  • Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis, or alloy materials.
  • Experience with high-throughput density functional theory calculations, adsorption energies, reaction pathways, transition-state calculations, or microkinetic modeling.
  • Experience with scientific software development, version control, research data management, and collaborative code development.

Our University Community
Physical Demands
Driving Requirements
This position will never drive a university owned vehicle.
Salary Range
$60,000
Additional Salary Information
The salary range reflects our good faith and reasonable estimate of the possible compensation at the time of posting, the role and associated responsibilities, and the experience, education, and training of the selected candidate.
Work Hours
37.5 hours per week
Campus
North Campus
Posting Alerts
Special Instructions Summary
Is a background check required for this posting?
No
Background Check Notification
Contact Information
Contact's Name
Melissa King
Contact's Pronouns
Contact's Title
Financial Transaction Specialist
Contact's Email
mking23@buffalo.edu
Contact's Phone
716-645-4621
Posting Dates
Posted
09/02/2026
Deadline for applicants
Open Until Filled
Date to be filled
References
Number of references required
2
Reference Cutoff Date
Instructions to Applicant

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