Junior Research Engineer - Machine Learning Systems - State University of New York at Buffalo : Job Details
Junior Research Engineer - Machine Learning Systems
State University of New York at BuffaloJob Location : New York,NY, USA
Position Title Junior Research Engineer - Machine Learning Systems
Classification Title
Classification Title Programmer/Analyst I
Department
Department Institute for Artificial Intelligence & Data Sciences
UB is seeking a Junior Research Engineer with expertise in areas such as AI/machine learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment of distributed ML models. You will be expected to collaborate with senior engineers and 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:
- Contribute to the design and development of 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.
- Participate in system architecture discussions and contribute to the design of the full-stack solution architecture, including front-end, back-end, and cloud deployment (such as AWS , GCP ).
- Contribute to the design, maintenance, and optimization of AI infrastructure to support the test and deployment of AI solutions, including distributed ML training and inference.
- Under the guidance of senior research engineers and 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.
- Contribute to build the AI solutions with robust system performance.
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.
- 1 year of software development experience with a focus on systems engineering or applications development, or an equivalent combination of education and experience.
- Knowledge of machine learning concepts and frameworks (e.g., PyTorch, TensorFlow).
- Experience with web development (front-end and back-end), cloud technologies ( AWS , GCP ), and databases.
- Strong understanding of data structures, algorithms, and software engineering principles.
● Experience with containerization (Docker, Kubernetes) and parallel programming system like GPUs.
● Familiarity with MLOps tools and workflows.
● Strong problem-solving skills, with a desire to work on innovative software solutions in collaboration with research teams.
Physical Demands
Salary Range
Salary Range $80,000 - $100,000
Additional Salary Information
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
Campus North Campus
Posting Alerts
Special Instructions Summary
Is a background check required for this posting?
Is a background check required for this posting? No
Contact Information
Contact's Name
Contact's Name Virginia Stever
Contact's Pronouns
Contact's Title
Contact's Title Administrative Director
Contact's Email
Contact's Phone
Contact's Phone 716-###-####
Posting Dates
Posted
Posted 11/21/2024
Date to be filled
Date to be filled 02/01/2025
References
Number of references required
Number of references required 3
Reference Cutoff Date
Instructions to Applicant
Supplemental QuestionsRequired 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
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- CareerWomen.com
- Chronicle of Higher Education
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- GoogleJobs.com
- HERCjobs.org
- HigherEdJobs.com
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