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Deep Learning Engineer Jobs (NOW HIRING)

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

NVIDIA

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA

$65 - $83.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

Rebar

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

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Deep Learning Engineer information

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$38K

$115.9K

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How much do deep learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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 are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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.

More about Deep Learning Engineer jobs
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Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 11% Internship, 68% Full Time, and 21% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior Deep Learning Engineer

Rebar

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision

Posted 6 days ago

Job description

Background
Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our V1 quoting product has scaled to thousands of quotes completed weekly, doubled revenue in 2026, and gained adoption across many of the top suppliers in North America. Fresh off a $14M Series A backed by leading construction tech investors, we're entering our next phase of growth - with AI at the center of everything we build next.
We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world environments. You'll be joining a small, highly capable team focused on delivering practical, production-ready ML systems - from data pipelines through to fine-tuned models - in a fast-moving startup context.
This role is ideal for someone who enjoys working with models under the hood, building and adapting training workflows, and applying research ideas to novel engineering challenges. Our work involves more than model inference - we design training workflows, develop evaluation pipelines, and engineer solutions that go beyond standard model usage.
Responsibilities
  • Model Training & Development: Design and train deep learning models for layout analysis, OCR, object detection, image to graph, and other related tasks. In some cases, you'll extend or adapt existing architectures; in others, you'll help design custom approaches from the ground up.
  • Evaluation and Monitoring: Build robust metrics, monitor production model performance, and proactively identify failure modes and areas for improvement.
  • Collaboration and Integration: Work closely with the engineering team to integrate models into our product and infrastructure. Participate in architecture and roadmap decisions.
What We're Looking For
You should feel confident implementing training logic, experimenting with model internals, and debugging the kinds of real-world issues that arise when pushing ML into production.
We're seeking someone with deep learning mastery and enjoys turning ideas into working, production-ready systems. This role is a great fit if you enjoy getting deep into PyTorch, working across the full ML stack, and solving open-ended modeling problems.
Required Qualifications
  • Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with main focus on deep learning.
  • Proven ability to implement and adapt techniques or architectures from academic or industry literature.
  • Proven track record tackling novel ML challenges in the field of Deep Learning.
  • 3+ years of experience developing and adapting model architectures with PyTorch.
  • 2+ years of experience with deep learning for computer vision applications, especially semantic segmentation or object detection.
  • 2+ years of experience with production-level code development and optimization.

Nice to Have
  • Experience with active learning setups
  • Applied experience with RLHF (Reinforcement Learning from Human Feedback)
  • Published research developing SOTA computer vision or (or other DL) models
  • Experience with deployment and monitoring pipelines for ML systems.
Compensation and Benefits
  • Salary: Competitive
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Perks: Free lunches and dinners provided

This is a salaried, onsite role located in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square. Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

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