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Remote Deep Learning Jobs in El Segundo, CA (NOW HIRING)

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Remote Deep Learning information

See El Segundo, CA salary details

$11.7K

$89.4K

$149.1K

How much do remote deep learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote deep learning in El Segundo, CA is $89,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $148,100.00 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 El Segundo, CA?

For Remote Deep Learning jobs in El Segundo, CA, the most frequently searched job titles are:

What cities near El Segundo, CA are hiring for Remote Deep Learning jobs?

Cities near El Segundo, CA with the most Remote Deep Learning job openings:

Remote Licensed Mental Health Counselor (LCSW/LMFT/LPCC) - Full-Time

Holistic Recovery Counselling

Los Angeles, CA โ€ข On-site, Remote

$120K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Conduct comprehensive evaluations and assessments for children and their families.

  • Implement evidence-based practices to monitor treatment outcomes and improve effectiveness.

  • Provide educational support to families and develop individualized treatment plans.


Job description

Position Overview

Holistic Recovery Counselling is seeking a dedicated and compassionate Licensed Mental Health Counselor to join our team in a full-time remote capacity. This role is ideal for professionals holding credentials as either an LCSW, LMFT, or LPCC, who have a genuine passion for empowering marginalized communities. The successful candidate will be instrumental in providing essential mental health support and resources, with a specific focus on children and families.

About the Organization

At Holistic Recovery Counselling, our mission is to empower marginalized populations by recognizing and nurturing their potential. We are a progressive organization rooted in the belief that diversity and inclusivity enrich our workplace and enhance our effectiveness. Our team is committed to fostering an environment where every employee feels respected, valued, and able to express their authentic selves.

Work Environment

The position is conducted entirely through telehealth, enabling our counselors to reach clients efficiently and effectively from the comfort of their homes. The remote work setting allows flexibility and encourages the use of innovative approaches to mental health counseling. Our virtual environment supports collaboration, ensuring that team members can easily communicate and share best practices while maintaining high standards of care.

Key Responsibilities

As a Licensed Mental Health Counselor, you will have a multifaceted role including:

  • Conducting comprehensive evaluations and assessments to understand the unique needs of children and their families.
  • Implementing evidence-based practices to monitor outcomes and improve treatment effectiveness.
  • Providing educational support to families, equipping them with valuable information and skills to foster their childโ€™s development.
  • Building rapport with children, families, and interdisciplinary team members to cultivate a supportive and effective therapeutic environment.
  • Developing individualized treatment plans that align with the principles of Natural Learning Environment Practices.
  • Utilizing a coaching model and natural environment teaching techniques in sessions.
  • Ensuring compliance with health and safety standards to safeguard the wellbeing of clients and staff.
Patient Population / Client Focus

Your primary focus will be on children and their families, particularly those in need of early intervention services. You will play a critical role in assisting families to enhance their childโ€™s developmental skills and addressing mental health challenges. This position requires an understanding and sensitivity to the unique pressures faced by marginalized communities.

Qualifications

To be considered for this role, applicants must possess the following qualifications:

  • A Master's Degree in Social Work (LCSW), Marriage and Family Therapy (LMFT), or Professional Clinical Counseling (LPCC).
  • A minimum of two years of experience in mental health counseling, particularly with a focus on children and early intervention.
  • A deep commitment to Natural Learning Environment Practices and an ability to resonate with diverse learning styles.
  • Bilingual capabilities are encouraged to better serve our diverse client base.
  • Strong organizational skills with excellent time management and the ability to prioritize effectively.
  • Outstanding communication skills, demonstrating respect and collaborative spirit towards team members and clients.
Preferred Experience

Successful candidates may also bring the following preferred experiences:

  • Prior work in telehealth or remote counseling settings.
  • Experience in collaborating with interdisciplinary teams to create holistic treatment plans.
  • Familiarity with the use of technology and virtual tools related to client management and therapy sessions.
Compensation and Benefits

Holistic Recovery Counselling offers a competitive salary range of $120,000 to $130,000 annually, accompanied by a robust benefits package including:

  • A sign-on bonus to support your transition into this important role.
  • Comprehensive health, dental, and vision insurance to ensure your wellbeing.
  • A 401k plan with company matching to secure your financial future.
  • Generous paid time off and sick time to promote a healthy work-life balance.
  • Life insurance for added peace of mind.
  • Flexible scheduling options to accommodate your lifestyle and personal commitments.
Career Growth Opportunities

At Holistic Recovery Counselling, we believe in nurturing our employees' professional growth. We provide opportunities for continued education, training, and development to ensure that our team members are at the forefront of the latest therapeutic methodologies and practices. Joining our team means you can advance your career while contributing to meaningful change in the lives of others.

Why Join Our Team

When you become part of Holistic Recovery Counselling, you join a team that prioritizes empowerment and strives to create a supportive environment for both employees and clients. Our commitment to diversity, equity, and inclusion creates a rich tapestry of experiences that helps us innovate and grow. We value the unique insights you bring, and we are excited to support you in making a difference in the community.

Application Information

If you are ready to make a transformative impact in the lives of children and families and you meet the qualifications outlined above, we encourage you to submit your resume for consideration. Join us in our mission to foster potential and support resilience in marginalized populations.