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Deep Learning Engineer Jobs (NOW HIRING)

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a technical anchor for the team - able to own and deliver complex, long-horizon perception projects while ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

Position Summary As a Senior Deep Learning Engineer on the Football Modeling side, you'll work closely with our research team on player tracking data, evaluation, and forecasting models. You'll be a ...

Quid, Inc.

Staff Deep Learning Engineer

Columbia, MD · On-site

$185 - $235/hr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

New

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY · On-site

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY · On-site

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$120 - $160/hr

Define and document technical approaches; drive alignment across Deep Learning, Platform, and Product teams * Mentor junior and mid-level engineers through code review, design feedback, and ...

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY · On-site

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

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Deep Learning Engineer information

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How much do deep learning engineer jobs pay per year?

As of Sep 4, 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?

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.
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Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in the United States 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 $115,864 per year, or $55.7 per hour.

Planning & Prediction Deep Learning Engineer

well-funded deeptech startup

California, MO • On-site

$315 - $385/hr

Other

Posted 3 days ago

New

Job description

Planning & Prediction Deep Learning Engineer – Santa Clara, CA – Up To $350,000 + RSUs

The company is a leading organization dedicated to creating intelligent, connected, and sustainable transportation solutions. The company is committed to pushing the boundaries of innovation and technology to shape the future of mobility. With its cutting-edge autonomous driving technology, the company is at the forefront of the EV revolution.

Job Description

The company is seeking a talented and highly motivated Deep Learning Engineer to join its rapidly growing autonomous driving team. As a Deep Learning Engineer, the selected candidate will play a pivotal role in the development and optimization of autonomous driving systems. Their work will directly impact the evolution of smart and efficient vehicles, contributing to the advancement of the automotive industry.

Responsibilities
  • Design, develop, and optimize deep learning models for planning and prediction in autonomous driving systems.
  • Implement state-of-the-art algorithms for object detection, motion prediction, and behavior planning.
  • Collaborate with cross-functional teams to integrate deep learning models into the autonomous driving stack.
  • Conduct research to stay updated on the latest advancements in deep learning and apply them to enhance autonomous driving capabilities.
  • Analyze and process sensor data to improve decision-making processes.
  • Continuously evaluate and refine the performance of deep learning models to meet safety and efficiency standards.
  • Participate in data collection and annotation efforts to support model training.
  • Contribute to the development of simulation environments for testing and validation.
Qualifications
  • A bachelor’s, master’s, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
  • Proven experience in developing and deploying deep learning models for planning and prediction tasks.
  • Familiarity with autonomous driving systems and relevant sensor technologies.
  • Solid programming skills in languages such as Python and C++.
  • Strong problem-solving abilities and a commitment to innovation.
  • Excellent teamwork and communication skills.
  • Experience with simulation tools for autonomous driving, such as CARLA, is a plus.
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