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Remote Deep Learning Engineer Jobs in Florida (NOW HIRING)

... in Deep Learning and Language Modeling, especially Generative AI and Large Language Models. Benefits * 25 days of paid annual leave plus public holidays * Flexible remote work options * Open door ...

Description We are looking for a senior-level ML expert with deep experience in Speech AI, ideally ... Remote work opportunities from Europe / US * The company has prominent clients with an opportunity ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML ... Python * Machine Learning * Deep Learning * Generative AI * Large Language Models (LLMs)

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

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Remote Deep Learning Engineer information

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What cities in Florida are hiring for Remote Deep Learning Engineer jobs? Cities in Florida with the most Remote Deep Learning Engineer job openings:

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL • On-site, Remote

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.
  • 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.
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.

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.