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Deep Learning Engineer Jobs in New Jersey (NOW HIRING)

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Strong understanding of deep learning architectures for image and text recognition. * Familiarity ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Strong understanding of deep learning architectures for image and text recognition. * Familiarity ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Strong understanding of deep learning architectures for image and text recognition. * Familiarity ...

Hyperproof

AI / Machine Learning Engineer

Woodbridge, NJ · On-site

$100 - $130/hr

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Strong understanding of deep learning architectures for image and text recognition. * Familiarity ...

Chefman

Machine Learning Engineer

Mahwah, NJ

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Strong experience with computer vision, image classification, object detection, deep learning, or ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ... Programming Languages: Python, R, SQL, Java or Scala, SQL You'll Love Working Here Because You Can ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

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Deep Learning Engineer information

See New Jersey salary details

$38.6K

$117.6K

$194.4K

How much do deep learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for deep learning engineer in New Jersey is $117,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in New Jersey?

For Deep Learning Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in New Jersey look for?

The top searched job categories for Deep Learning Engineer jobs in New Jersey are:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $117,630 per year, or $56.6 per hour.

Machine Learning Engineer

Harrison Finch

Edgewater, NJ

Full-time

Medical, Dental, Vision, Life

Re-posted 27 days ago

Job description

The Role
We are building the first generation of biological reasoning models—generative AI systems that can decode biology across scales, from molecules to whole organisms. The goal is to predict, understand, and program living systems in ways never before possible.

As a Machine Learning Engineer, you will design and scale deep generative models for biology. You’ll collaborate closely with experienced founders and domain experts to push the boundaries of how AI can be applied in life sciences.

What You’ll Do

  • Build foundational models that can “read and write” biology at scale.
  • Develop and experiment with generative architectures (transformers, diffusion, autoencoders) to capture complex, multi-scale biological data.
  • Work on distributed training pipelines handling billions of parameters across multi-GPU and multi-node environments.
  • Engineer efficient data pipelines for massive datasets, optimizing for speed, memory, and reproducibility.
  • Design robust evaluation frameworks to ensure integrity, prevent leakage, and validate models against real-world biological problems.

What We’re Looking Fo
  • Bachelor’s in Computer Science, Machine Learning, or related technical field.
  • 3+ years of experience developing and deploying deep generative models.
  • Solid experience in pre-training models and distributed computing environments.
  • Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, JAX).
  • Familiarity with large-scale datasets and scaling models to billions of parameters.
  • Strong grasp of ML fundamentals: architectures, optimization, and evaluation.
  • Experience designing and managing large-scale data pipelines.
  • Background in robust evaluation methods for complex ML projects.
  • Strong coding practices: version control, testing, collaborative workflows.

Who You Are

  1. Problem-solver who thrives in ambiguity and takes ownership.
  2. Clear communicator who can explain complex technical ideas.
  3. Motivated to make a real-world impact through AI in life sciences.
  4. Pragmatic and focused, but curious enough to test unconventional ideas.

Bonus Points

  • Experience applying ML to biology or chemistry.
  • Publications or open-source contributions in ML/AI.
  • High-performance computing and ML Ops experience.

Culture & Values
❤️ Ownership and pride in your work.
???? Commitment to excellence and high standards.
???? Practical, results-oriented mindset.
???? Honest and transparent communication.
???? Belief that work should also be fun and rewarding.

What’s Offered

  • Competitive salary and meaningful equity.
  • Medical, dental, and vision coverage.
  • A culture of feedback and growth: leadership sets high expectations, shares constructive input, and welcomes ideas from every team member.
  • Freedom to manage your day-to-day while hitting key milestones.
  • A chance to shape the culture and direction of the team from an early stage.