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Entry Level Deep Learning Jobs (NOW HIRING)

SynergisticIT

Java Developer

Manhattan, NY

$56.25 - $72.75/hr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Preferred Skills * Deep Learning * Data visualization * NLP * Scala * Django Roles and ...

Precise - Int

Entry Level Financial Analyst

Boston, MA

$51K - $56K/yr

High self-learning capabilities and fast-learner * Complete honesty combined with a strong team ... With deep knowledge of architectural and engineering firms industry and law firms, we provide C ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

... deep learning, and reinforcement learning), you will directly contribute to the development of ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Aampower

Controls Engineer

Detroit, MI

$82K - $106K/yr

Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ... Experience with Deep Learning Technology * Experience with data analysis * Basic 3D modeling ...

Ericsson

SLM Engineer (Entry Level)

Austin, TX · On-site

... ML, deep learning, or LLM and agent-based tooling. Eagerness to build deep technical expertise in one or more of the following domains: Silicon / DFT • Digital logic design fundamentals and ...

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All JobsEntry Level Deep Learning Jobs

Entry Level Deep Learning information

See salary details

$20.5K

$89.2K

$196.5K

How much do entry level deep learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level deep learning in the United States is $89,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $148,500.00 per year, depending on experience, location, and employer.

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.
More about Entry Level Deep Learning jobs
What cities are hiring for Entry Level Deep Learning jobs? Cities with the most Entry Level Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Entry Level Deep Learning jobs? States with the most job openings for Entry Level Deep Learning jobs include:
What job categories do people searching Entry Level Deep Learning jobs look for? The top searched job categories for Entry Level Deep Learning jobs are:
Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,171 per year, or $42.9 per hour.
Java Developer

Java Developer

SynergisticIT

Manhattan, NY

$56.25 - $72.75/hr

Other

Posted 2 days ago

Job description

Data Scientist Opportunity

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement
  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
  • Must have Mathematics or Statistics background
Technical and Soft Skills Required
  • Experience in Python programming and understanding of the software development life cycle.
  • Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
  • Excellent written and verbal communication skills.
  • Highly motivated, self-learner, team player, and technically inquisitive.
  • Strong work ethics and creative problem-solving abilities.
Preferred Skills
  • Deep Learning
  • Data visualization
  • NLP
  • Scala
  • Django
Roles and Responsibilities
  • Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
  • Assess project requirements and develop data analysis algorithms.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.
Benefits
  • Competitive salary
  • Flexible work schedule & part-time off
  • E-verified
  • No relocation
  • H1B filing
  • On job technical support
  • Skill Enhancement
  • Opportunity to work with Fortune 500 Companies

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.

Candidate's Outcome: Best Programmers in USA | Best Coding Bootcamp - SynergisticIT

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