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Entry Level Deep Learning Jobs in Washington (NOW HIRING)

... deep expertise of a dedicated local market team beside you. • Facilitate positive process ... your learning throughout your time at Motion Recruitment • Ongoing one-on-one support and ...

CompTIA A+ Tutor

Alexandria, VA · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Leesburg, VA · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Alexandria, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Laurel, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Leesburg, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Bowie, MD · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Laurel, MD · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

College Park, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Washington, DC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Fairfax, VA · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Bowie, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

Fairfax, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Rockville, MD · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

College Park, MD · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Rockville, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Washington, DC · Remote

$25 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

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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 engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially in senior or executive roles at large tech companies. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

Can I get an AI job with no experience?

Entry level deep learning positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python and TensorFlow. While prior experience is helpful, candidates can improve their chances by completing relevant online courses, building projects, and gaining certifications to demonstrate their skills to employers.

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.

Which 3 jobs will survive AI?

Entry Level Deep Learning roles are likely to persist in fields requiring complex problem-solving, creativity, and domain expertise, such as AI research, data science, and machine learning engineering. These jobs involve tasks that are difficult to automate fully and often require specialized skills, programming knowledge, and continuous learning to adapt to evolving technologies.

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Entry-level roles in deep learning generally do not reach this salary level, which is reserved for experienced professionals with significant expertise and responsibilities.
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:
Infographic showing various Entry Level Deep Learning job openings in Washington as of July 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution.
Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.     

A day in the life:
You’ll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you’ll move on to improving a dashboard or other data product that you’re responsible for, or perhaps produce a weekly output the customer is expecting. You’ll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you’ll attend a team meeting (with 4 others) to prioritize things, and you’ll have a lot of interaction with the team otherwise, typically several times per day. You’ll need your sense of humor and need to be willing to leave your ego at the door.     
     
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:     
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:     
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 

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