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Junior Machine Learning information

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Junior Machine Learning jobs in Delaware? For Junior Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Delaware look for? The top searched job categories for Junior Machine Learning jobs in Delaware are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Delaware as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Intern - Predictive Sales Prospecting

Agilent

Wilmington, DE • On-site

$30 - $32/hr

Full-time

Re-posted 2 days ago

Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

86th of 536 rated manufacturers

Job description

Job Description
This internship program is designed to provide data analytics support for various programs, projects, and initiatives across the Americas. It is intended to help identify and leverage leading analytics tools and technologies, including artificial intelligence (AI) and large language models (LLMs), to streamline sales enablement and channel strategies, improve sales productivity, and drive incremental revenue growth.
Key Responsibilities:
Predictive Sales Prospecting & Data Insights
  • Analyze customer and market data to identify high-value prospects and uncover sales opportunities.
  • Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.
  • Develop data-driven insights to support decision-making across sales and marketing teams.

AI Tools & Technology Evaluation
  • Explore emerging AI and analytical tools and assess their potential applications within sales workflows.
  • Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.

Data Management & Analysis
  • Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.
  • Build and maintain dashboards, reports, and queries to monitor key performance metrics.
  • Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.

Sales Enablement & Reporting
  • Create reports and visualizations that communicate insights clearly to stakeholders.
  • Partner with cross-functional teams to translate data findings into actionable sales strategies.
  • Support forecasting efforts and contribute to strategic and tactical planning.

Technical Tools & Collaboration
  • Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.
  • Provide support and guidance on data tools and methodologies to team members.
  • Maintain data integrity and ensure compliance with relevant standards and best practices.

Qualifications
Who we're looking for
You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.
What you bring
  • Strong analytical and problem-solving skills with the ability to work with complex datasets.
  • Foundational knowledge of programming languages and data analysis tools.
  • Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.
  • Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.
  • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).
  • Clear and confident communication skills, both written and verbal.
  • A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

Work Conditions & Schedule
  • Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire.
  • Start Date: Targeted for June 2026.
  • Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week).
  • Work Model: Onsite - Wilmington, DE
  • Agilent provides a laptop and necessary equipment for the internship term.

Compensation & Benefits
  • Hourly Pay: $30.00-$32.00 (Our pay ranges are determined by role, level, and location.)
  • Paid holidays and medical benefits eligibility.
  • Professional development sessions, workshops, and mentorship.
  • Exposure to sales, marketing, manufacturing, product development, and technical support functions.
  • Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more).

This position is part-time during the academic semester and full-time over the summer.
The intern pay rate for this position is $30.00-$32.00/hour plus eligibility for paid holidays and medical benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least June 15, 2026 or until the job is no longer posted.
Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.
Travel Required:
Occasional
Shift:
Day
Duration:
Over 12 Months
Job Function:
General

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