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Remote Deep Learning Jobs in Miami, FL (NOW HIRING)

Senior AI Engineer

Miami, FL ยท On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Deep proficiency in Python, ML frameworks, and cloud-native engineering * Strong understanding of ...

Showing results 41-60

Remote Deep Learning information

See Miami, FL salary details

$10.5K

$80.2K

$133.9K

How much do remote deep learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote deep learning in Miami, FL is $80,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $132,900.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are popular job titles related to Remote Deep Learning jobs in Miami, FL?

For Remote Deep Learning jobs in Miami, FL, the most frequently searched job titles are:

What cities near Miami, FL are hiring for Remote Deep Learning jobs?

Cities near Miami, FL with the most Remote Deep Learning job openings:

Infographic showing various Remote Deep Learning job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,232 per year, or $38.6 per hour.

Full-time Licensed Clinical Social Worker (LCSW) for Remote Hospice Care

Red Oak Mental Healthcare

Hialeah, FL โ€ข On-site, Remote

$90K - $105K/yr

Full-time

PTO

Posted 2 days ago

New


Job description

Position Overview

The Licensed Clinical Social Worker (LCSW) at Red Oak Mental Healthcare will play a crucial role in providing compassionate outpatient therapy to individuals and families situated within our hospice care program. This full-time position, operating remotely, involves delivering therapeutic interventions that prioritize emotional well-being in the face of serious health challenges, particularly cancer diagnoses. You will employ evidence-based practices to help patients navigate their mental health concerns, facilitating their overall healing journey.

About the Organization

Red Oak Mental Healthcare is committed to pioneering a transformative approach to healthcare, focusing on delivering exceptional care standards while championing proactive wellness strategies. Our electrifying vision drives us to enrich the lives of our patients and communities, ensuring we create value in every interaction. We place a strong emphasis on values such as compassion, excellence, leadership, innovation, and agility, empowering our team members to be the change-makers in their respective fields.

Work Environment
  • The work is primarily conducted in a climate-controlled remote environment, enabling flexibility while ensuring comfort.
  • Daily interactions with fellow health care professionals, administrative staff, and other support departments foster a collaborative and engaging work culture.
Key Responsibilities
  • Conduct comprehensive assessments to diagnose and evaluate patients, determining their mental health needs and tracking the effectiveness of interventions using standardized tools like the DSM-5.
  • Create individualized treatment plans that take into account the unique circumstances and cultural backgrounds of patients, ensuring relevancy and effectiveness in therapy.
  • Regularly monitor and document patient progress through timely updates to treatment records and reports, adhering strictly to regulatory compliance and departmental standards.
  • Establish collaborative working relationships with patients, their families, and other healthcare providers to draft comprehensive care plans aimed at achieving desired health outcomes.
  • Actively participate in team meetings to discuss patient care strategies, share insights and advancements in therapy methodologies, and contribute to the ongoing development of team best practices.
  • Serve as a mentor and educator for students, interns, and other healthcare professionals, fostering an environment of continuous learning and improvement.
  • Engage in clinical collaborations and peer reviews under the guidance of clinical supervisors, thereby enhancing the team's overall effectiveness and supporting ongoing staff development.
Patient Population / Client Focus

Your primary focus will be on patients and families impacted by cancer, requiring sensitivity, empathy, and a deep understanding of the emotional complexities associated with serious diagnoses. Providing therapeutic support in this context means collaborating closely with medical teams, understanding treatment protocols, and being a source of emotional empowerment for patients during their most challenging times.

Qualifications
  • A Master's degree in Social Work from an accredited institution.
  • Current State License as a Licensed Clinical Social Worker (LCSW).
  • Exceptional interpersonal and communication skills to engage effectively with diverse populations.
Preferred Experience
  • Experience in hospice, oncology, or a related healthcare setting, providing support to terminally ill patients.
  • Familiarity with evidence-based therapeutic interventions and supportive counseling techniques.
  • Ability to work autonomously within a remote framework while being an integral part of a team.
Compensation and Benefits

The salary for this position ranges from $90,000 to $105,000 annually, reflecting experience and qualifications. Red Oak Mental Healthcare offers a competitive benefits package, inclusive of a signing bonus, generous paid time off, and opportunities for continuing education and professional development. We also emphasize a healthy work-life balance, with flexible work arrangements that accommodate your personal needs.

Career Growth Opportunities

At Red Oak Mental Healthcare, we believe in nurturing our team members. You will have access to numerous professional development opportunities, mentorship programs, and leadership training paths. As part of a dynamic organization, there is potential for future roles in management or specialized clinical positions based on your interests and career aspirations.

Why Join Our Team

By becoming a part of Red Oak Mental Healthcare, you are merging your career with a mission to redefine the standards of care in mental health and community wellness. Our supportive environment fosters not only your professional growth but also enhances your ability to impact lives profoundly. If you are dedicated to advancing mental health outcomes in your community, we invite you to apply and begin your journey with us.

Application Information

If you are excited about making a difference as a Licensed Clinical Social Worker in a progressive organization, we encourage you to submit your application. Join Red Oak Mental Healthcare in our mission to bring exceptional care and support to those in need. We look forward to reviewing your credentials and possibly welcoming you to our team!