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Entry Level Deep Learning Jobs in New York (NOW HIRING)

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

... learning and deep learning techniques effectively - Excelling in complex data analysis and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

JB&B

Engineer, Electrical

New York, NY · On-site

$79K - $82K/yr

JB&B now operates within Trinity's Built Environment division , combining its deep expertise in ... Entry-Level Electrical Engineers to join our New York office. This is an exciting opportunity to ...

JB&B

Engineer, Electrical

New York, NY · On-site

JB&B now operates within Trinity's  Built Environment division , combining its deep expertise in ... Entry-Level Electrical Engineers to join our New York office. This is an exciting opportunity to ...

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All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in New York

Entry Level Deep Learning information

See New York salary details

$22.4K

$97.5K

$214.8K

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

As of Jul 15, 2026, the average yearly pay for entry level deep learning in New York is $97,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,544.00 and $162,350.00 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 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 the most commonly searched types of Deep Learning jobs in New York? The most popular types of Deep Learning jobs in New York are:
What are popular job titles related to Entry Level Deep Learning jobs in New York? For Entry Level Deep Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in New York look for? The top searched job categories for Entry Level Deep Learning jobs in New York are:
Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in New York as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $97,488 per year, or $46.9 per hour.
Entry-Level Financial Analyst

Entry-Level Financial Analyst

Precise - Int

Manhattan, NY

$60K/yr

Full-time

Posted 10 days ago

Job description

Precise – We are an international Financial Management Service provider for Architectural, Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing New York office. We are seeking an individual who is a self-starter and can work independently. The analyst will be responsible for providing financial analysis regarding all facets of the business for the client.


Our ideal candidate is someone who loves numbers, is highly motivated, and works well both independently and in a team. They should be comfortable interfacing with the executive management team and with presenting complex financial information in a clear fashion. This is an Entry-Level position, but candidates with 1-2 years of experience will be considered.


Benefits: Health, Dental, Vision, 401(k)


We are an affirmative action/equal opportunity employer.

Compensation:

$55,000 - $60,000


Responsibilities:
  • Mapping and analyzing quantitative data
  • Preparing management reports
  • Managing cash flow and daily financial issues
  • Monitoring performance and profitability
  • Additional duties are required



Qualifications:
  • Bachelor's Degree in Economics, Finance, Mathematics, or Business Administration
  • Excellent written and verbal communication skills
  • Strong computer skills that include MS, Excel, Word, and Outlook
  • Willing to learn and develop strong analytical skills, budget, and project management
  • Handle heavy responsibilities - overseeing the implementation of projects that require comprehensive scheduling & coordination
  • Detail-oriented and high organization skills - the ability to develop, collect, formulate, and maintain databases, spreadsheets, estimates, project schedules, and reports
  • Exceptional work ethic
  • High self-learning capabilities and fast-learner
  • Complete honesty combined with a strong team player skill set
  • Open-mindedness to learn, be coached, and grow within a growing company
  • Positive can-do attitude and self-motivated
  • Must be able to start within 2-3 weeks of offer
  • Must be authorized to work in the U.S. without sponsorship



About Company

Precise - Int is the leading financial management service provider for architectural, engineering, and law firms. We are a high-value resource that takes responsibility of companies’ finances in order to optimize operations, increase performance, and enhance decision-making.

With deep knowledge of architectural and engineering firms industry and law firms, we provide C-level advice within the scope of all of our service offerings. Precise - Int is a partner for life as evidenced by 98% customer loyalty and a range of in-sourcing, outsourcing, and consulting options available to suit companies of every size and shape.

Our uncompromising commitment to clients enables them to make more money and manage their business better.