1

Ml Research Assistant Jobs in Indiana (NOW HIRING)

... cases including account research, content recommendations, and sales coaching* Implement ... Knowledge of AI/ML frameworks and foundational understanding of large language models (e.g., OpenAI ...

... cases including account research, content recommendations, and sales coaching * Implement ... Knowledge of AI/ML frameworks and foundational understanding of large language models (e.g., OpenAI ...

Ml Research Assistant information

What is an ML Research Assistant?

ML Research Assistants are individuals who support machine learning research projects by assisting with tasks like data collection and preprocessing, literature reviews, experimental setup, model training, and result analysis. They often collaborate with researchers, graduate students, and professors to advance the development and understanding of machine learning algorithms. ML Research Assistants may also help write research papers, prepare presentations, and maintain codebases. This role is common in academic, research, and industry settings, and serves as valuable experience for those interested in pursuing advanced studies or careers in artificial intelligence.

What skills and qualifications are needed to thrive as an ML Research Assistant?

To thrive as an ML Research Assistant, you need a solid background in mathematics, programming (Python, R), and a foundational understanding of machine learning concepts, often demonstrated by a relevant degree or coursework in computer science or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret research findings and collaborate within a team. These skills are vital to effectively support complex ML projects, contribute to innovative research, and ensure accurate, reproducible results.

What are common challenges faced by ML Research Assistants when collaborating with senior researchers and engineers?

ML Research Assistants often face the challenge of bridging the gap between theoretical research and practical implementation, especially when collaborating with experienced researchers and engineers. Communication can be complex, as they may need to translate high-level research goals into experimental setups or prototype code. Additionally, ML Research Assistants must stay adaptable, as project priorities can shift quickly based on new findings or feedback. Building strong documentation and proactive communication skills are key to ensuring seamless collaboration within multidisciplinary teams.

How to become an ML research assistant?

To become an ML research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, along with programming skills in languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. A relevant bachelor's degree is often required, and advanced roles may require a master's or PhD. Gaining research experience through internships, projects, or academic work can improve prospects.

What are popular job titles related to Ml Research Assistant jobs in Indiana?

For Ml Research Assistant jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Ml Research Assistant jobs?

Cities in Indiana with the most Ml Research Assistant job openings:

Assistant Research Professor

Statistics Interest Group

Notre Dame, IN • On-site

$90 - $130/hr

Other

Posted 2 days ago

New


Job description

Lucy Family Institute for Data & Society at the University of Notre Dame – Assistant Research ProfessorCompany Name Lucy Family Institute for Data & Society at the University of Notre DamePosition Title Assistant Research ProfessorCompany Information

Guided by Notre Dame’s Mission, the Lucy Family Institute adventurously collaborates on advancing data-driven and artificial intelligence (AI) convergence research, translational solutions, and education to ethically address society’s vexing problems. As an innovative nexus of academia, industry, and the public, the Institute also fosters data science and AI access to strengthen diverse and inclusive capacity building within communities.

Duties and Responsibilities

We are seeking an assistant-level research professor (non tenure-track). The ideal candidate will have strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML.

Position Qualifications

The faculty member will be part of an exciting new digital engagement for learning analytics research group within the Institute. As such, as PhD in relevant fields and research experience with digital engagement measurement, online gaming analytics, and/or policy impact analysis will be beneficial.

#J-18808-Ljbffr