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Senior Research Engineer - Machine Learning Systems

May 25, 2026

Posting Details Position Information Fiscal Year 2024-2025 Position Title Senior Research Engineer - Machine Learning Systems Classification Title Senior Programmer/Analyst (Project) Department Institute for Artificial Intelligence & Data Sciences Posting Number R240264 Posting Link https://www.ubjobs.buffalo.edu/postings/54281 Employer Research Foundation Position Type RF Professional Type Full-Time Appointment Term Salary Grade E.79 Posting Detail Information Position Summary UB is seeking a Senior Research Engineer with deep expertise in areas such as Artificial Intelligence (AI)/machine learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research Engineer, you should be experienced in the development of scalable AI systems and deployment of distributed ML models, and will be expected to collaborate with researchers across domains. This role includes opportunities to work with state-of-the-art natural language processing, large language models (LLMs), computer vision models, speech models, time series models, and many other related machine learning models, managing AI infrastructure, and optimizing distributed model training and inference. The IAD at the University at Buffalo is a leader in advancing AI, data science, and computational research. IAD fosters innovation by addressing pressing challenges in areas such as education, health care, robotics, and autonomous vehicles, contributing to the future of the U.S. economy and security. This role offers the opportunity to contribute to UB’s pioneering work at the intersection of AI and data science, collaborating with experts to drive advancements that make a lasting societal impact. Key Responsibilities: Design and develop full-stack end-to-end AI solutions to support IAD’s missions. Collaborate with UB’s various decanal units to understand the requirements of AI solutions and build the solutions accordingly. Lead system architecture discussions and the design of the full-stack solution architecture, including front-end, back-end, and cloud deployment (such as AWS, GCP). Design, maintain, and optimize AI infrastructure to support the test and deployment of AI solutions, including distributed ML training and inference. Under the guidance of faculty members, work with and deploy machine learning models (including LLM models) into both on-prem systems and hybrid clouds, ensuring efficient integration into production environments. Build and maintain scalable, real-time data pipelines and MLOps workflows. Mentor junior engineers to build the AI solutions with robust system performance. Outstanding Benefits Package Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. We support your growth and development through our career coaching and training department and we qualify as a public service loan forgiveness organization. Learn more about our benefit packages. About The University at Buffalo The University at Buffalo (UB) #ubuffalo is one of America’s leading public research universities and a flagship of the State University of New York system, recognized for our excellence and our impact. UB is a premier, research-intensive public university dedicated to academic excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo.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 Bachelor’s degree in Computer Science, Engineering, or a related field. 3 years of software engineering (end-to-end full-stack development) and machine learning experience (industry or academia), or an equivalent combination of education and experience Expertise in programming languages such as Python, Golang, and C++ and web development tools such as React, React Native, HTML/CSS/Javascript. Expertise in PyTorch, TensorFlow, distributed ML training, inference, and MLOps tools. Proficient in AI infrastructure, high-performance computing, cloud platforms (AWS, GCP), and parallel programming with GPUs. Knowledge of cloud technologies such as containerization (Docker, Kubernetes) and big data technologies (Hadoop, Spark). Preferred Qualifications Master’s degree in Computer Science, Engineering, or a related field Research project experience and academic publications. Experience with multimodal data and data pipeline creation. Experience in working with and deploying LLM and LVLM models. Strong problem-solving, communication, and collaboration skills. Physical Demands Salary Range $100,000 - $125,000 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 Virginia Stever Contact's Pronouns she/her/hers Contact's Title Administrative Director Contact's Email vastever@buffalo.edu Contact's Phone 716-645-2477 Posting Dates Posted 11/21/2024 Deadline for applicants Open Until Filled Date to be filled 02/01/2025 References Number of references required 3 Reference Cutoff Date Instructions to Applicant Supplemental Questions Required fields are indicated with an asterisk (*). * Please indicate your current employment affiliation with the University at Buffalo. Faculty Faculty Student Association (FSA) Research Foundation Employee State Classified State Professional UB Foundation TA/GA Student No Current Employment Affiliation * How did you first hear about this employment opportunity? AcademicKeys.com CareerExposure.com CareerWomen.com Chronicle of Higher Education DiversitySearch.com GoogleJobs.com HERCjobs.org HigherEdJobs.com IMDiversity.com Indeed.com LinkedIn.com MBACareers.com Conference Personal Referral UBJobs.buffalo.edu Other Documents Needed To Apply Required Documents Cover Letter Resume Optional Documents

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...