Senior Research Engineer Machine Learning Systems

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 UBs 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 IADs missions. Collaborate with UBs 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 Americas 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 applicants race color religion sex sexual orientation gender identity national origin and veteran or disability status.

Minimum Qualifications

Bachelors 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

Masters 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.

Required Experience :

Unclear Seniority

Key Skills

Arm,Machine Learning,Raspberry Pi,Python,C / C++,Image Processing,5G,OS Kernels,Research Experience,Firewall,Research & Development,Computer Vision

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 100000 - 125000