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Entry Level Deep Learning Jobs in Washington (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Deep Learning information

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are some common challenges faced by entry-level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What are the key skills and qualifications needed to thrive as an Entry Level Deep Learning professional, and why are they important?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.
What are popular job titles related to Entry Level Deep Learning jobs in Washington? For Entry Level Deep Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in Washington look for? The top searched job categories for Entry Level Deep Learning jobs in Washington are:
Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in Washington as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
2026 Graduate - Algorithm Development Engineer-Laurel,Maryland

2026 Graduate - Algorithm Development Engineer-Laurel,Maryland

Johns Hopkins Applied Physics Laboratory

Glen Echo, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 57 rated research

Job description

Description
Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams with peers and mentors to aid your career development?
If you are graduating with a Bachelor's or Master's degree in computer engineering, electrical engineering, physics, or mathematics/statistics and want to develop algorithms for the undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations.
We apply information processing, machine learning, deep learning, and signal processing to transform raw sensor data into meaningful information for our nation's warfighters. As examples, you may develop algorithms to process SONAR signals to hunt for submarines, analyze IP network traffic data to find anomalous events or traffic, or develop deep learning algorithms to classify objects in sidescan sonar images.
As an Algorithm Development Engineer, you will...
  • Provide contributions to projects developing innovative algorithms for real-world operations.
  • Work with raw and processed sensor data to find hidden patterns and weak signals, identify characteristics, and exploit those characteristics with novel algorithms.
  • Document your algorithms, algorithm performance, and insights in written reports and briefings to leadership and sponsors.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Bachelor's or Master's degree in computer engineering, electrical engineering, mathematics/statistics, or physics.
  • Are skilled in or have working knowledge of a programming language such as Python, MATLAB, or C/C++.
  • Have strong written and verbal communication skills with the ability to work effectively in small project teams.
  • Are curious about signal processing, machine learning, deep learning, or artificial intelligence.
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Algorithm development and testing experience and data analysis in languages like Python or MATLAB, particularly for time series or sensor data.
  • Experience with Fourier transforms, digital signal processing, feature-based machine learning models (e.g. support vector machines, random forests), and/or deep learning models.
  • Led small project teams to successfully accomplish a technical objective.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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