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Research Assistant Machine Learning Jobs in Buffalo, NY

acv

Embedded Systems Engineer IV, R&D

Buffalo, NY · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... Experience deploying or optimizing machine learning models at the edge. #LI-AM3

acv

Embedded Systems Engineer IV, R&D

Buffalo, NY · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... Experience deploying or optimizing machine learning models at the edge. #LI-AM3

Varsity Tutors

Statistics Graduate Level Tutor

Buffalo, NY · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Layer Health

Clinical Data Integration Engineer

Boston, NY · On-site

$140K - $160K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from ...

Linde Group

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$14.25 - $19/hr

Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ... Operations Research * Process Equipment * Process Chemistry * Heat Transfer * Food/Beverage and ...

Linde

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$14.25 - $19/hr

Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ... Operations Research * Process Equipment * Process Chemistry * Heat Transfer * Food/Beverage and ...

Munich Re

Data Scientist

Buffalo, NY · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Research double major We are proud to offer our employees, their domestic partners, and their ...

Layer Health

Solutions Engineer

Boston, NY · On-site

$180K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from ...

Newschool

Student Lab Assistant

Depew, NY · On-site

$19/hr

Research new tools, platforms, creative practices, and developments in AI, XR, emerging media, and ... Workshops, Learning, and Community Support * Assist with the preparation and facilitation of ...

New

Linde Plc

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$37 - $39/hr

R&D Intern- Summer 2027 Linde Inc. Tonawanda, NY or Burr Ridge, IL, United States | req32161 In the ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

Linde plc

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$37 - $39/hr

R&D Intern- Summer 2027 Linde Inc. Tonawanda, NY or Burr Ridge, IL, United States | req32161 In the ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

Lenahan Dermatology

Medical Assistant

East Amherst, NY

$17.25 - $22.25/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

Lenahan Dermatology

Medical Assistant

East Amherst, NY · On-site

$17.25 - $22.25/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

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Research Assistant Machine Learning information

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

As of Sep 6, 2026, the average hourly pay for research assistant machine learning in Buffalo, NY is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $24.66 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 are popular job titles related to Research Assistant Machine Learning jobs in Buffalo, NY?

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

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

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

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

Cities near Buffalo, 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 Buffalo, NY as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,143 per year, or $21.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Buffalo, NY • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply