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Fresh Graduate Ai Jobs (NOW HIRING)

Visa

Systems Engineer, Linux and AI

Ashburn, VA · Hybrid

Work with stakeholders to translate business problems into AI use cases, define requirements, and ... Delivery or strong internship/fresh graduate performance on technical interview tests.

Outreach

Senior Product Manager, AI

Seattle, WA

$165K - $225K/yr

Bachelor's degree; MBA or related graduate degree preferred $165,000 - $225,000 a year Why You'll ... fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we ...

BRM.ai

Entry Level Software Engineer

San Francisco, CA · On-site

... AI-driven solutions. You'll work alongside experienced engineers to revolutionize the inbox ... Recent graduate (within 3 years) with a degree in Computer Science, Engineering, or related field ...

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All JobsFresh Graduate Ai Jobs

Fresh Graduate Ai information

What are the key skills and qualifications needed to thrive as a Fresh Graduate in AI, and why are they important?

To thrive as a Fresh Graduate in AI, you need a solid grasp of mathematics, programming (particularly Python), and foundational knowledge in machine learning and data analysis, typically supported by a relevant degree such as computer science or engineering. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help set you apart in collaborative and dynamic environments. These competencies enable you to contribute meaningfully to AI projects and adapt quickly within this rapidly evolving field.

What types of projects and responsibilities can a fresh graduate in AI expect during their first year on the job?

As a fresh graduate starting in an AI role, you can expect to work on a variety of supportive tasks, such as data cleaning, annotation, and assisting with model development or research under the guidance of senior team members. You'll likely participate in team meetings, contribute to brainstorming sessions, and help implement basic machine learning algorithms or prototypes. Over time, you may be given ownership of small projects or modules, allowing you to build technical skills and gain exposure to real-world applications of AI. Collaboration with data scientists, software engineers, and product managers is common, offering valuable opportunities to learn and grow within a multidisciplinary environment.

What is the difference between Fresh Graduate Ai vs Data Analyst?

AspectFresh Graduate AiData Analyst
Required CredentialsDegree in Computer Science, AI, or related field; basic programming skillsDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech startups, AI companies, research labsBusiness, finance, healthcare, and corporate settings
Employer & Industry UsagePrimarily in AI development and researchData-driven decision making across industries
Common Search & ComparisonYesYes

Fresh Graduate Ai roles focus on entry-level positions in AI development, requiring programming and basic AI knowledge. Data Analysts analyze data to inform business decisions, often with statistical skills. While both roles involve working with data and technology, Fresh Graduate Ai is more specialized in AI development, whereas Data Analysts focus on interpreting data for strategic insights.

What are Fresh Graduate AI roles?

Fresh Graduate AI roles are entry-level positions in the field of Artificial Intelligence designed for individuals who have recently completed their degree. These roles typically involve supporting AI projects, assisting with data preparation, model training, and testing under the supervision of experienced professionals. Fresh graduates may work as AI engineers, data analysts, or machine learning interns, gaining practical experience while building foundational skills. Employers look for candidates with strong programming abilities, understanding of AI concepts, and a willingness to learn and adapt quickly.
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Fresh Graduate Ai jobs near you
Infographic showing various Fresh Graduate Ai job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

2026 Fall Health AI Scholar, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Other

Posted 3 days ago

Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.

Required Skills:

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI/health-related journals or conferences.
  • Programming using languages such as Python, R, Android, C/C++, Java.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.

Apply