Entry Level Artificial Intelligence Scientist Jobs
New grad artificial intelligence 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 mix on-site, remote, and hybrid settings across Technology & Software, Electronics & Hardware, and Science & Research, with employers like TikTok, Apple, and JPMorganChase hiring at this level now.
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Showing 5 of 36+ Entry Level Artificial Intelligence 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 Artificial Intelligence Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software13
- Electronics & Hardware7
- Science & Research3
- Education2
- Banking & Financial Services2
Entry Level Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get an entry level artificial intelligence scientist job?
Employers hiring at the entry level look for demonstrated technical ability over years of experience. A portfolio of personal or academic projects that shows machine learning model development, data pipeline work, or published research gives candidates a real edge. Internships, open-source contributions, and proficiency in Python and frameworks like PyTorch or TensorFlow are the most commonly cited qualifications in entry level postings.
Which companies hire entry level artificial intelligence scientists?
Companies hiring entry level artificial intelligence scientists right now include TikTok, Apple, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a wide mix of employers, including technology firms, research labs, defense contractors, and large enterprises building out their in-house AI capabilities.
Are there remote entry level artificial intelligence scientist jobs?
Yes, though on-site and hybrid roles remain common at the entry level. About 25% of entry level artificial intelligence scientist openings are remote or hybrid as of November 2026, giving new candidates flexibility in where they work while they build experience. Fully remote roles at this level tend to appear most often at technology companies and AI-focused startups.
Are these new grad artificial intelligence scientist jobs?
Yes, the openings on this page include new grad, recent graduate, and junior roles alongside other entry level positions. A posting is generally new-grad friendly when it welcomes zero to two years of experience, lists internship or academic project work as acceptable, or does not require prior industry employment. Reviewing the job description for these signals helps identify roles suited to candidates entering the field for the first time.
Which industries hire the most entry level artificial intelligence scientists?
Entry Level artificial intelligence scientist roles concentrate in Technology & Software, Electronics & Hardware, and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at the entry level because they are actively building or scaling AI products, research programs, and data infrastructure, creating consistent demand for candidates who are early in their careers.