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Machine Learning Teaching Assistant Jobs in Virginia

Sr. Machine Learning Engineer

Fort Belvoir, VA ยท On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... DOD Top Secret Clearance (Must) As a consultant, will be working to assist a DoD U.S. Army Command ...

Machine Learning Engineer - Autonomy Lab

Arlington, VA ยท On-site

$117K - $155K/yr

... teaching others,participatingin design (software and otherwise) sessions, and sharing insights and ... Machine Learning: You have profound understanding of machine learning principles and have ...

Teaching Assistant

Arlington, VA ยท On-site

$16 - $20.25/hr

Teaching Assistant - Arlington, VA Background: Kent, Campa and Kate Incorporated (KCK) is a federal ... learning materials needed; * Tracks and assigns Zoom for Government accounts and supports virtual ...

Lead Machine Learning Engineer

Fort Belvoir, VA ยท On-site

$115K - $152K/yr

Role: Lead Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option ... assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based ...

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Machine Learning Teaching Assistant information

What's the difference between a TA and a LSA?

In the context of a Machine Learning Teaching Assistant role, a TA typically assists with grading, student support, and course logistics, while an LSA (Learning Support Assistant) may focus more on providing additional instructional help or tutoring. The specific responsibilities can vary by institution, but TAs often have more formal teaching duties and may hold a graduate assistantship, whereas LSAs usually support learning in a more informal capacity.

How much does TA get paid?

The pay for a Machine Learning Teaching Assistant varies depending on the institution and location but typically ranges from $15 to $30 per hour. TAs often assist with grading, tutoring, and lab sessions, and some positions may offer stipends or hourly wages based on experience and responsibilities.

How does a Machine Learning Teaching Assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

Is ML a high paying job?

Machine Learning Teaching Assistants often earn competitive salaries, especially with relevant skills in programming, data analysis, and machine learning frameworks. Salaries can vary based on experience, location, and the level of education, but the field generally offers high earning potential compared to many entry-level roles.

What are Machine Learning Teaching Assistants?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

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

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What is an AI teaching assistant?

An AI teaching assistant is a software tool or program that uses artificial intelligence to support educational activities, such as answering student questions, grading assignments, or providing personalized learning recommendations. In the context of a machine learning teaching assistant role, it involves developing, maintaining, or improving AI systems that assist instructors and students in learning environments.
What are the most commonly searched types of Machine Learning Teaching jobs in Virginia? The most popular types of Machine Learning Teaching jobs in Virginia are:
What are popular job titles related to Machine Learning Teaching Assistant jobs in Virginia? For Machine Learning Teaching Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Assistant jobs in Virginia look for? The top searched job categories for Machine Learning Teaching Assistant jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Teaching Assistant jobs? Cities in Virginia with the most Machine Learning Teaching Assistant job openings:

Sr. Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA โ€ข On-site

$118K - $162K/yr

Contractor

Posted 3 days ago


Job description

Role: Sr. Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Clearance: DOD Top Secret Clearance (Must)

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).ย  You will work directly the stakeholders to understand requirements and work with Armyโ€™s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).ย  You will be helping our military defend our cyber security infrastructure by delivering software capabilities.ย 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Masterโ€™s Degree in Data Science, Machine Learning, or a related field
  • Proven experience in a machine learning or AI engineering role
  • Strong proficiency in Python, C++, or Java
  • Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions
  • Experience with data preprocessing, feature engineering, and model selection
  • Knowledge of data structures, algorithms, and software architecture
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders
  • Commitment to writing clean, efficient, and well-tested code
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 3-5 years of experience in a ML/AI development role