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Entry Level Artificial Intelligence Engineer Jobs in Edison, NJ

Sogeti

Entry Level Technology Consultant

New York, NY · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering ...

Genpact

AI Engineer 4A

New York, NY · On-site

We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a ... This entry-level role is ideal for recent graduates who have completed internships, academic ...

Radical AI

Software Engineer

Manhattan, NY · On-site

Radical AI, Inc. is an artificial intelligence company focused on accelerating scientific research and development in materials R&D. As a Software Engineer, you will build core software for the ...

Radical AI

Software Engineer

Manhattan, NY · On-site

Radical AI, Inc. is an artificial intelligence company focused on accelerating scientific research and development in materials R&D. As a Software Engineer, you will design and build core ...

Veeco Instruments, Inc.

Manufacturing Engineer

Somerset, NJ · On-site

$77K - $99K/yr

You will shape the build methods, engineering changes, and troubleshooting practices that help Veeco deliver high-value technology to customers competing in artificial intelligence, high-performance ...

Actalent

HIRING Bilingual Registered Nurse

Brooklyn, NY · On-site

$104K - $120K/yr

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Entry Level Artificial Intelligence Engineer information

See Edison, NJ salary details

$30.4K

$70.3K

$119.7K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for entry level artificial intelligence engineer in Edison, NJ is $70,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $79,600.00 per year, depending on experience, location, and employer.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Edison, NJ? The most popular types of Artificial Intelligence Engineer jobs in Edison, NJ are:
What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Edison, NJ? For Entry Level Artificial Intelligence Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Edison, NJ look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities near Edison, NJ with the most Entry Level Artificial Intelligence Engineer job openings:
Entry Level Artificial Intelligence Engineer jobs near you
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $70,342 per year, or $33.8 per hour.

Senior LLM Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 241 rated software companies

Job description

Senior LLM Research Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049309
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior LLM Research Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team.
The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources.
Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.
What's in it for you:
  • Collaborate with colleagues on building and applying LLMs for production systems and applications
  • Write, test, and maintain production quality code
  • Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
  • Proficiency in software engineering
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company'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.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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