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Deep Learning Engineer Jobs in Arizona (NOW HIRING)

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115.60K - $152.40K/yr

Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121.60K - $160.40K/yr

Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121.60K - $160.40K/yr

Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... deep learning models, particularly large-scale online inference. - Proficient in Python with a ...

Wise Skulls

AI/ML Data Scientist

Phoenix, AZ · On-site

The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large ... Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production ...

IntraEdge

Architect

Phoenix, AZ · On-site

$63 - $83/hr

You will work with a multidisciplinary team of experts, including data scientists, engineers ... such as machine learning, deep learning, natural language processing, computer vision, or ...

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How much do deep learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for deep learning engineer in Arizona is $107,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,200.00 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.
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Deep Learning Engineer jobs near you

Engineer I, Inspection Technology

LG Energy Solution Arizona

Queen Creek, AZ

Full-time

Posted 20 days ago

Job description

We awaken the world with energy.

LG Energy Solution is the global leader in lithium-ion battery technology for electric vehicles and energy storage solutions. Located in Queen Creek, Arizona, LG Energy Solution Arizona, Inc. is LG Group's first cylindrical battery manufacturer in North America, leading the widespread distribution of electric vehicles with the most advanced battery technology in the world.

Join us as we inspire our talent with growth, challenge, action and collaboration to Empower Every Possibility!

Job Summary:

The Inspection Technology Engineer I supports the implementation, validation, and continuous improvement of automated inspection systems used in cylindrical lithium-ion battery cell manufacturing. This role focuses on ensuring inspection systems operate reliably, detect defects accurately, and support safe, high-volume production for EV battery applications.

The role is hands-on and highly collaborative, working closely with Production, Quality Assurance, Equipment Engineering, and EHS teams in a fast-paced environment. The engineer will gain exposure to vision systems, X-ray inspection, metrology, and automated electrical test systems across electrode, assembly, and formation processes.

Responsibilities:

Support inspection, manufacturing, or automation processes on the production floor.

Assist with setup, validation, and optimization of inspection and production equipment.

Analyze basic process and inspection data to support yield and quality improvements.

Support troubleshooting of equipment and process-related issues under guidance.

Participate in new model introductions and process change activities.

Follow SOPs, work instructions, and engineering standards.

Collaborate with technicians, engineers, and cross-functional teams.

Support documentation, reporting, and continuous improvement activities.

Qualifications:

Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, Manufacturing, or related field).

1+ years of experience in a manufacturing or industrial environment (internship or co-op acceptable).

Basic understanding of manufacturing processes and quality concepts.

Fundamental understanding of automated equipment or inspection systems.

Knowledge of machine vision algorithm libraries (Halcon, OpenCV) and deep learning models.

Exposure to maintenance of in-line inspection systems (Machine Vision, 3D metrology, X-ray and CT).

Understanding of measurement system analysis (MSA) and gage R&R using Minitab.

Skills:

Basic data analysis skills.

Problem-solving mindset with willingness to learn.

Strong communication and teamwork skills.

Ability to follow procedures and engineering standards.

Basic technical documentation skills.

Why should you work here?

1. Growth - You are a self-driven individual who seeks and captures the opportunities for growth we offer by acquiring and solving tasks.

2. Challenge - You reach beyond expectations and strive for innovative methods beyond the traditional.

3. Action - You are driven, take initiative, can execute decisions with agility and fulfill tasks to completion.

4. Collaboration - You are enthusiastic about teamwork while respecting the different backgrounds and experience of colleagues.

EEO Statement

LG Energy Solution Arizona, Inc. is an Equal Employment Opportunity Employer.