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Deep Learning Engineer Jobs in Louisiana (NOW HIRING)

Spotify

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

We bring deep insight into human behavior, design, and technology to craft experiences that feel ... Working at the intersection of machine learning, platform engineering, and regulatory compliance ...

CGI Inc.

Forward Deployed Engineer

Lafayette, LA · On-site

  • Retirement

  • PTO

Software Development/ Engineering Main location: United States, Louisiana, Lafayette Position ID ... Computer vision and deep learning frameworks (e.g., PyTorch, TensorFlow, OpenCV) . Building ...

TytoCare Ltd.

Senior Algorithm Developer

Central, LA · On-site

$90 - $120/hr

Delegating tasks to Junior Data Engineers to realize the successful completion of projects ... years experience in deep learning. * Knowledge of a variety of machine learning techniques ...

New

Pwc

AI Engineer

New Orleans, LA · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

Cloudera

$150K - $185K/yr

  • PTO

Sales Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform ... Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.) * Integration Products ...

Pwc

CTIO - AI Engineer- Senior Manager

New Orleans, LA

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... learning and deep learning techniques effectively - Excelling in complex data analysis and ...

New

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Pwc

AI Solutions Engineering Delivery Lead

New Orleans, LA

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

IBM

Associate Data Engineer - Data Services - 2027

Baton Rouge, LA · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Through mentorship, certifications, structured learning, and real client project experience, you'll ... With deep expertise in many industries, we offer strategy, experience, technology, and operations ...

New

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Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Louisiana

Deep Learning Engineer information

See Louisiana salary details

$32.5K

$99.1K

$163.8K

How much do deep learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for deep learning engineer in Louisiana is $99,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $129,600.00 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 Louisiana?

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

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

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

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,079 per year, or $47.6 per hour.

Senior Machine Learning Engineer - Policy & Safety

Spotify

On-site

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.


The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems

  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

  • Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

  • Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

  • Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs

  • Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

  • Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

  • You have solid experience building and deploying machine learning systems in production environments at scale

  • You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

  • You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

  • You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

  • You care about building safe, responsible, and user-centric ML systems

  • You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

  • You have experience leading technical projects and influencing direction within a team or product area

  • You have experience with distributed systems or backend technologies (e.g., Scala)

Where You'll Be

  • This role is based in New York

  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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