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Deep Learning Engineer Jobs in New Jersey (NOW HIRING)

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Develops, researches, and applies machine learning, deep learning, visual artificial intelligence ...

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Develops, researches, and applies machine learning, deep learning, visual artificial intelligence ...

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 · 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 ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

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 ...

AvePoint

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$190K - $220K/yr

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in New Jersey

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 Sep 8, 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 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 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.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,630 per year, or $56.6 per hour.

Machine Learning Engineer - Forecasting & Production Systems

Mai Placement

Newark, NJ • On-site

Full-time

Posted 19 days ago

Job description

Machine Learning Engineer – Predictive Forecasting & Time Series

Newark, NJ
$150,000 – $200,000

Why This Role Exists

We are looking for a Machine Learning Engineer who has built predictive models around time-dependent data and deployed them into real production environments.

The primary focus is forecasting and predictive analytics used to improve decisions around demand, sales, inventory, purchasing, and operational planning.

This is not an LLM or generative AI role. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter.

What You Will Own

  • Build and improve production-grade forecasting and predictive models using time-dependent data.
  • Develop SKU-level, demand, sales, inventory, or other operational forecasting systems.
  • Own models from development through deployment, monitoring, retraining, and ongoing improvement.
  • Build and optimize data pipelines supporting predictive ML systems.
  • Measure model performance and continuously improve forecast accuracy.
  • Partner with business and operational teams to turn model outputs into better decisions.

What Success Looks Like

  • Forecasting accuracy improves measurably over time.
  • Predictive outputs are trusted and actively used by business teams.
  • Models perform reliably in production at meaningful data scale.
  • Forecasts improve purchasing, inventory, capacity, or operational decision-making.
  • Models can be iterated and deployed quickly as business conditions change.

What You Need

  • Proven experience building time series, temporal, forecasting, or other time-dependent predictive models.
  • Experience deploying machine learning models into production.
  • Strong Python and machine learning/statistical modeling skills.
  • Experience working with large transactional or operational datasets.
  • Experience building or supporting production ML data pipelines.
  • Ability to connect model performance to real business outcomes.

Especially Relevant Experience

Experience predicting outcomes such as:

  • Demand
  • Sales
  • Inventory requirements
  • Purchasing needs
  • Capacity
  • Production volume
  • Customer behavior over time
  • Other future operational or business outcomes

Experience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant.

The important requirement is not a specific algorithm. It is evidence that you have successfully built predictive models where time-dependent data was central to the problem.

Email Resume: Joel@maiplacement.com
Apply Online: https://jobs.crelate.com/portal/maiplacement/job/57uddx43h4me63xrn6z1157iec

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