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Research Assistant Machine Learning Jobs in Olean, NY

Loram

Machine Operator 1, TSO

Bradford, PA · On-site

$20 - $21/hr

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ...

St. Bonaventure University

Security Professional 1

NY · On-site

$18.36/hr

Check vending machines and safes to ensure security. * Communicate and assist other security ... Research information and assist students, faculty, staff, vendors or visitors. * Accurately and ...

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All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Olean, NY

Research Assistant Machine Learning information

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$7

$19

$28

How much do research assistant machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for research assistant machine learning in Olean, NY is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.50 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near Olean, NY are hiring for Research Assistant Machine Learning jobs?

Cities near Olean, NY with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Olean, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $40,279 per year, or $19.4 per hour.

Principal AI Platform / Agentic AI Architect (Town of Poland)

Intellias

Kennedy, NY • On-site

Full-time

Re-posted 22 days ago

Job description

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

What project we have for you

We are seeking a highly experienced and hands-on Principal AI/ML Architect & Applied AI Lead to drive the design, development, and operationalization of enterprise-scale AI systems across research and production environments.

This role combines deep technical expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities. The ideal candidate will lead complex AI initiatives end-to-end — from experimentation and research to scalable deployment in global enterprise environments.

The position requires a strong balance between:

  • technical leadership,
  • hands‑on implementation,
  • cross‑functional collaboration,
  • and mentoring of engineering and data science teams.
What you will do
  • Lead the design and implementation of AI/ML solutions across multiple business domains.
  • Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, and advanced analytics solutions.
  • Define AI architecture standards, MLOps best practices, and scalable deployment strategies.
  • Evaluate emerging AI technologies and identify opportunities for innovation and operational impact.
  • Translate research initiatives into production‑ready AI solutions.
  • Architect scalable distributed data‑processing systems capable of handling large‑scale datasets and real‑time pipelines.
  • Design and optimize cloud-native AI platforms using modern data engineering frameworks.
  • Lead cloud migration and modernization initiatives from on‑premises environments to Azure and/or AWS.
  • Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments.
  • Ensure reliability, scalability, observability, and cost‑efficiency of AI infrastructure.
  • Design and implement enterprise‑grade chatbot and conversational AI platforms.
  • Lead development of Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration systems.
  • Define governance, evaluation, and monitoring strategies for GenAI systems.
  • Collaborate with research teams to operationalize LLM-based applications securely and responsibly.
  • Lead cross‑functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders.
  • Mentor engineers and researchers in AI/ML best practices, architecture, and software engineering standards.
  • Coordinate global AI initiatives across distributed teams and multiple geographies.
  • Communicate technical concepts effectively to executive and non‑technical audiences.
  • Support innovation programs and AI adoption strategies across the organization.
What you need for this Requirements
  • Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
  • 10+ years of experience in AI/ML, data science, or distributed systems engineering.
  • Proven experience designing and deploying production‑grade AI solutions at enterprise scale.
  • Strong background in both research and industrial AI environments.
  • Experience leading global or distributed technical teams.
  • Generative AI systems
  • NLP / NLU
  • Databricks
  • SQL / NoSQL databases
  • Distributed computing architectures
  • Streaming and batch processing pipelines
  • Docker
  • Infrastructure-as-Code
  • MLOps frameworks
  • Python
  • Scala
  • Experience with AI governance and responsible AI practices.
  • Experience building AI platforms serving multiple teams or business units.
  • Experience optimizing cloud infrastructure and reducing operational costs.
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