Strong foundation in statistics and machine learning concepts (regression, classification ... Previous internship or project experience demonstrating practical data science applications.
Strong foundation in statistics and machine learning concepts (regression, classification ... Previous internship or project experience demonstrating practical data science applications.
Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects). * Experience with ML ops or model deployment (e.g. using cloud AI services ...
Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects). * Experience with ML ops or model deployment (e.g. using cloud AI services ...
Senior Director of Data Science (Remote)
Wilmington, DE · On-site +1
We're looking for a Data Science leader who believes machine learning only creates value when it ... REMOTE #LI-NM1
Senior Director of Data Science (Remote)
Wilmington, DE · On-site +1
We're looking for a Data Science leader who believes machine learning only creates value when it ... REMOTE #LI-NM1
Psychiatric Nurse Practitioner (PMHNP) - Telehealth
Houston, DE · Remote
$84 - $115/hr
We are redefining the provider-patient relationship, supporting encounter-based care with remote and proactive oversight enabled by technology. * Machine Learning-Powered Clinical Decision Support
Quick apply
Psychiatric Nurse Practitioner (PMHNP) - Telehealth
Houston, DE · Remote
$84 - $115/hr
We are redefining the provider-patient relationship, supporting encounter-based care with remote and proactive oversight enabled by technology. * Machine Learning-Powered Clinical Decision Support
SVP, Chief Technology Officer (CTO)
Dover, DE · On-site +1
... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...
SVP, Chief Technology Officer (CTO)
Dover, DE · On-site +1
... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...
As we continue to invest in first-party data, machine learning, marketing technology and AI, we're ... REMOTE #LI-NM1
As we continue to invest in first-party data, machine learning, marketing technology and AI, we're ... REMOTE #LI-NM1
Equipment Uses standard office equipment such as personal computers, printer, copy and fax machines ... Knowledge of differentiated instruction based upon student learning styles. * Knowledge of data ...
Equipment Uses standard office equipment such as personal computers, printer, copy and fax machines ... Knowledge of differentiated instruction based upon student learning styles. * Knowledge of data ...
Machine Learning Remote Internship information
What types of projects can I expect to work on during a machine learning remote internship?
During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.
What is a machine learning remote internship?
A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.
What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?
To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.
What is the difference between Machine Learning Remote Internship vs Data Science Intern?
| Aspect | Machine Learning Remote Internship | Data Science Intern |
|---|---|---|
| Required Credentials | Basic programming, math, and machine learning knowledge | Statistics, programming, and data analysis skills |
| Work Environment | Remote, collaborative teams, project-based | Remote or on-site, data analysis and modeling tasks |
| Industry Usage | Tech, AI, startups, research labs | Tech, finance, healthcare, consulting |
| Search & Comparison Intent | Understanding internship roles in ML | Exploring data science internship opportunities |
Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.
What are popular job titles related to Machine Learning Remote Internship jobs in Delaware?
For Machine Learning Remote Internship jobs in Delaware, the most frequently searched job titles are:
- Remote Fall Investment Banking Internship
- Amazon Internship Software Engineer
- Remote Human Resources Benefits Specialist
- Data Engineer Internship Remote
- Internship Remote Rust Developer
- Remote Chemical Engineering Internship
- Remote Internship 3D Modeling
- Remote Ai Ethics Internship
- Remote Salesforce Trainer
What job categories do people searching Machine Learning Remote Internship jobs in Delaware look for?
The top searched job categories for Machine Learning Remote Internship jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Remote Internship jobs?
Cities in Delaware with the most Machine Learning Remote Internship job openings:
Part-time
Re-posted 9 days ago
Job description
At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
Qualifications
Preferred Qualifications
Benefits
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
- Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
- Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
- Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
- Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
- Support continuous model optimization and validation efforts.
Qualifications
- Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
- Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
- Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
- Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
- Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.
Preferred Qualifications
- Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
- Prior exposure to recommendation algorithms or matching systems through coursework or projects.
- Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
- Previous internship or project experience demonstrating practical data science applications.
- Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.
Benefits
- Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
- Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
- Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
- Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.