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Deep Learning Engineer Jobs in Boca Raton, FL (NOW HIRING)

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Experience with writing, releasing, and working in large distributed systems, deep learning or/and ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Experience with writing, releasing, and working in large distributed systems, deep learning or/and ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Experience with writing, releasing, and working in large distributed systems, deep learning or/and ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Machine Learning Tutor

Miramar, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras), data preprocessing, feature engineering, model evaluation, REST API development (Flask, FastAPI), database management (SQL ...

Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras), data preprocessing, feature engineering, model evaluation, REST API development (Flask, FastAPI), database management (SQL ...

... 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 ...

New

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

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Deep Learning Engineer information

See Boca Raton, FL salary details

$36K

$109.6K

$181.2K

How much do deep learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for deep learning engineer in Boca Raton, FL is $109,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $143,300.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

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 engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

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.

What engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
What are popular job titles related to Deep Learning Engineer jobs in Boca Raton, FL? For Deep Learning Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Boca Raton, FL look for? The top searched job categories for Deep Learning Engineer jobs in Boca Raton, FL are:
Infographic showing various Deep Learning Engineer job openings in Boca Raton, FL as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $109,621 per year, or $52.7 per hour.

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL โ€ข On-site

Full-time

PTO

Posted 20 days ago


Job description

First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.
Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we've been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.
We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.
JOB KEY RESPONSIBILITIES
  • Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
  • Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
  • Collaborate with software engineers, product managers, designers, and analysts.
  • Deliver testable, maintainable, and high-quality code.
  • Monitor, test, and continuously optimize our Machine Learning models.
  • Ensure that our user experience is the very best it can be.
  • Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
  • Collaborate with key internal stakeholders.
  • Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
  • Regularly update knowledge with the latest trends and developments in the machine learning industry.
  • Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

Requirements
WHAT YOU'LL BRING TO THE PARTY (MUST HAVES)
  • Minimum 2 years work experience
  • Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
  • Experience with open source LLMs and relevant hardware to host them
  • Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
  • Agent & Operator Development
  • Architect, build, and deploy autonomous AI agents capable of accessing web environments via function calls, GUI interactions, or multi-agent collaboration
  • Design workflows for agents to autonomously accomplish user-defined goals.
  • Orchestration & Workflow Management
  • Coordinate interactions across multiple AI agents, ensuring seamless handoffs and decision logic
  • Use frameworks such as LangChain, AutoGen, or similar to manage agent orchestration.
  • Skilled in API integration with various providers and enhancing customer experience.
  • Deep familiarity with data structures, data modeling, and software architecture.
  • Proficiency in Python and SQL. R is considered a plus as well.
  • Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
  • Proficiency in using version control tools such as Git.
  • Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
  • Experience analyzing a feature in production using analytics and experiments.
  • Experience in applying machine learning models to solve real-world problems.

Technical Skills
Domain Requirements
  • Programming Python, optionally Java/Node.js
  • LLM & Agent Frameworks At least 2 from: LangChain, AutoGen, OpenAI Functions,
  • AutoGPT, AgentQL, CrewAI, Playwright and more
  • Web Automation GUI interaction frameworks, browser-simulation agents (e.g.
  • Operator's CUA)
  • Seez App Technology LTD
  • DIFC, Dubai
  • UAEData & MLOps ETL, real-time streams, database management (SQL/NoSQL),
  • data cleaning and feature engineering
  • Prompt Engineering Template design, multi-step tool orchestration
  • Security & Ethics Adversarial training, differential privacy, bias audits

YOU'LL THRIVE IN THIS ROLE IF YOU'RE SOMEONE (GREAT-TO-HAVE)
  • Experience working in startups
  • Experience with cloud services such as AWS and Azure.
  • Knowledge of the automotive industry is a plus.
  • Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.

EDUCATION/QUALIFICATIONS
  • Fundamentals: Statistics and Probability, Machine Learning algorithms, Data Science practices.
  • Advanced Degree: A Master's degree in Computer Science, Engineering, or a related STEM field.

Benefits
  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced-whether that's yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth-be it a new course, certification, or skill you've been eyeing
  • Regular team events, social calls, the best company SWAG, and a vibrant remote culture

WHY JOIN SEEZ?
At Seez, we're all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We've created a space where great work gets noticed, collaboration is second nature, and our values aren't just posters on the wall; they guide everything we do.
We're a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It's the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.