Department: Zaven and Sonia Akian College of Science and Engineering (ACSE)

Contract type: Service contract

Job location: Yerevan, the capital of the Republic of Armenia

Application deadline: 02/01/2026

Duration: 6 months

The Engineering Research Center (ERC) is a part of the American University of Armenia’s Zaven & Sonia Akian College of Science and Engineering. It has been conducting applied research for the past two decades. It brings together AUA scientists and engineers, visiting faculty, and AUA students to collaborate on interdisciplinary projects.

Description

We seek junior- and mid-level machine learning researchers to contribute to a research project focused on advanced machine learning and deep learning methods. Multiple positions are available at both the junior and mid levels. Applications from current students are welcome.

Key Responsibilities

• Support the design, development, and evaluation of machine learning and natural language processing models under guidance from senior team members
• Collect, clean, and prepare structured and unstructured data for modeling; perform basic data quality checks and document issues
• Implement baseline models and iterate on improvements through feature engineering, model tuning, and systematic experimentation
• Build and maintain evaluation workflows and dashboards/notebooks to track model performance over time
• Collaborate with engineers and product/domain stakeholders to clarify requirements, assumptions, and success criteria
• Produce clear documentation and short technical reports summarizing methods, results, and next steps
• Excellent command of written and oral English.

Required Qualifications

• Bachelor’s or Master’s degree (or in progress) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field (or equivalent practical experience)
• 1–3 years of hands-on experience in applied ML/NLP (research, internships, or industry) with demonstrable project work
• Strong Python skills for data analysis and modeling (pandas, NumPy, scikit-learn)
• Solid understanding of ML fundamentals (supervised learning, validation strategies, overfitting/regularization, metrics)
• Experience working with unstructured text data and NLP pipelines (cleaning, preprocessing, feature creation, embeddings)
• Familiarity with semantic representations and similarity search (e.g., sentence embeddings, vector search / ANN concepts)
• Ability to implement and evaluate retrieval/search performance 
• Strong experiment hygiene: reproducible workflows, consistent train/validation splits, result tracking, and version control (Git)
• Clear written communication and documentation skills for reporting results, metrics, and model changes to technical and non-technical stakeholders
• Prior experience with academic writing and research reporting is considered an advantage.

Eligibility

• Both junior- and mid-level applicants are welcome to apply.
• Students and alumni from any university with a relevant degree program are encouraged to apply.
• This is a short-term, part-time position.Applicants should submit a cover letter clearly indicating whether they are applying for a junior or mid-level position, along with a brief summary of their experience in the ML/DL domain.

Additional Information

Please submit your application via our career platform.

AUA is an equal opportunity employer and is committed to an active non-discrimination program within the institution 

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