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

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Vision & deep learning: Help develop and integrate CNNs and vision models (classification ... Education: entry level from, a degree/certificate program in Computer Science, AI/ML, Data Science ...

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 ...

Sia

Associate Consultant, Generative AI

Manhattan, NY · On-site

... and deep learning, partnering closely with our business consultants for real-world impact. By ... We are growing our Generative AI consulting practice and looking for motivated entry level ...

IBM

Consultant Intern - AWS Cloud 2027

Bronx, NY · On-site

$15.50 - $20.75/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

IBM

Consultant Intern - AWS Cloud 2027

New York, NY · On-site

$16.50 - $22/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

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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 Aug 20, 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 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 the key skills and qualifications needed to thrive as an entry level deep learning professional?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,488 per year, or $46.9 per hour.

Associate AI Developer

iSoftStone

White Plains, NY • On-site

$20/hr

Other

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

Job description

Description
iSoftStone, Inc. is seeking an Associate AI Developer to join our Team
In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.**
Summary:
iSoftStone, Inc. is seeking an Associate AI Developer to help build and ship production-grade AI services. This training-based, early-career role is ideal for entry level candidates eager to grow into hands-on AI engineers, working alongside senior developers on real client projects spanning agentic applications, orchestration, observability, and computer vision-across a cloud-agnostic stack.
Responsibilities:
  • Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
  • Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
  • Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
  • Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
  • Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling-and with open-source models-favoring portable, well-tested code.
  • Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.

Qualifications:
  • Education: entry level from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
  • Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
  • AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
  • Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
  • Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.

Preferred Skills
  • Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone, Weaviate, FAISS).
  • Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
  • Prior internship, capstone, or project work involving AI, data, or cloud services
  • Education
    BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Primary Location Pay Range: $20 per hour
iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world's most well-known businesses, including 90+ Fortune Global 500 companies.
Visit us at ;br>
iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.

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