Entry Level AI Research Scientist Jobs
New grad ai research scientist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles across Technology & Software, Electronics & Hardware, and Education, with employers like TikTok, JPMorganChase, and Apple hiring at this level now.
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Showing 5 of 32+ Entry Level AI Research Scientist jobs
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
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Find JobsEntry Level AI Research Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software13
- Electronics & Hardware5
- Education3
- Banking & Financial Services2
- Biotechnology & Pharmaceuticals2
Entry Level AI Research Scientist Jobs: Frequently Asked Questions
How do I get an entry level ai research scientist job?
Employers hiring at the entry level look for hands-on evidence of research ability, not years on a resume. A GitHub portfolio with published experiments, a co-authored paper, or a strong capstone project from a graduate program can set you apart. Familiarity with Python, PyTorch or TensorFlow, and the ability to explain methodology clearly are the skills that move junior candidates to the interview stage.
Which companies hire entry level ai research scientists?
Companies hiring entry level ai research scientists right now include TikTok, JPMorganChase, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring covers technology companies, research labs, and enterprise organizations across industries that are actively building out AI teams at the junior level.
Are there remote entry level ai research scientist jobs?
Yes, though on-site and hybrid roles make up the majority of postings at this stage. About 16% of entry level ai research scientist openings are remote or hybrid as of November 2026, so candidates open to in-person work will find a wider pool of opportunities, particularly at labs and research-focused teams that prefer new researchers on-site.
Are these new grad ai research scientist jobs?
Yes. The listings here include new grad, recent graduate, and junior ai research scientist roles that explicitly welcome candidates with little or no professional experience. A new grad friendly posting typically lists zero to two years of experience as the requirement and accepts internship work, academic research, or a strong portfolio in place of full-time history.
Which industries hire the most entry level ai research scientists?
Entry Level ai research scientist roles concentrate in Technology & Software, Electronics & Hardware, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive the most junior hiring because they are actively investing in foundational AI research and need recent graduates who are current on the latest methods and model architectures.