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Remote Deep Learning Engineer Jobs in Lancaster, PA

Product Owner (Remote)

Lititz, PA ยท On-site +1

$80K - $95K/yr

This role emphasizes learning and growth, enabling the PO to develop a strong understanding of ... Own and maintain the backlog in Azure DevOps (ADO), developing a foundational understanding of all ...

... a deep understanding of acoustics, architectural products, building materials, or commercial ... Develop relationships with architects, acoustical consultants, engineers, contractors, end users ...

Associate Manager Design to Value

Hershey, PA ยท On-site +1

$82K - $106K/yr

Hershey, PA (Remote) Why Hershey: At The Hershey Company, our culture is rooted in purpose and ... This includes our deep and long standing partnership with Milton Hershey School, where we invest in ...

Hershey, PA (Remote) Why Hershey: At The Hershey Company, our culture is rooted in purpose and ... This includes our deep and long standing partnership with Milton Hershey School, where we invest in ...

Data Scientist 3

Lititz, PA ยท On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

Sr Data Scientist

Lititz, PA ยท On-site +1

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

This includes our deep and long standing partnership with Milton Hershey School, where we invest in ... Hershey, PA (Remote) About The Hershey Company The Hershey Company is an industry-leading snacks ...

Remote Northeast-50% travel * Quartelry Incentive Pay * Paid time off plus paid holidays * Medical ... This role combines strong sales execution with deep technical understanding, enabling the ...

This role involves the interaction of multiple engineering disciplines; it is critical for the ... This posiiton will allow for remote (at home) work opportunity, but requires that the ideal ...

Hershey, PA (Remote)Why Hershey: At The Hershey Company, our culture is rooted in purpose and ... This includes our deep and long standing partnership with Milton Hershey School, where we invest in ...

New

This includes our deep and long standing partnership with Milton Hershey School, where we invest in ... Strong Proficiency/Aptitude with learning software/databases/dashboards/scorecards Support ...

Showing results 21-40

Remote Deep Learning Engineer information

See Lancaster, PA salary details

$10.7K

$81.5K

$136.1K

How much do remote deep learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote deep learning engineer in Lancaster, PA is $81,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $135,100.00 per year, depending on experience, location, and employer.

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

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.

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 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 are popular job titles related to Remote Deep Learning Engineer jobs in Lancaster, PA?

For Remote Deep Learning Engineer jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Lancaster, PA look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Remote Deep Learning Engineer jobs?

Cities near Lancaster, PA with the most Remote Deep Learning Engineer job openings:

Licensed Clinical Social Worker (LCSW) - Remote Opportunity at Leading Rehabilitation Center

Company Confidential

Lancaster, PA โ€ข Remote

Full-time

Medical, Dental, Vision, Life

Posted 5 days ago


Job description

Position Overview

Gotham Enterprises Ltd is actively seeking a dedicated and compassionate Licensed Clinical Social Worker (LCSW) to join our esteemed team at our rehabilitation center. This full-time role, set against a flexible remote work environment, offers the chance to significantly impact the lives of individuals in need while working closely with a team of highly skilled professionals.

About the Organization

Based in Lancaster, Pennsylvania, Gotham Enterprises Ltd is a forward-thinking rehabilitation center committed to providing holistic care and support to our diverse clientele. Our center is renowned for its evidence-based practices and community involvement, prioritizing the emotional and mental well-being of those recovering from various conditions, including trauma, anxiety, and depression.

Work Environment

As a remote position embedded within our rehabilitation center, this role thrives on collaboration and innovation. The work setting fosters an empowering atmosphere where staff members are encouraged to engage in continuous learning and development. The center boasts a supportive culture; team meetings and case collaborations ensure that you are backed by a network of experienced colleagues.

Key Responsibilities
  • Conduct thorough mental health assessments to understand client backgrounds, challenges, and strengths.
  • Develop and implement individualized treatment plans that utilize various therapeutic modalities.
  • Utilize solution-based therapies, adapting approaches to meet the unique needs of each client.
  • Maintain detailed and confidential client records in compliance with regulations and organization standards.
  • Actively participate in multidisciplinary team meetings to discuss client progress and adjust treatment strategies accordingly.
  • Continuously pursue professional development by staying abreast of the latest therapeutic approaches and research.
  • Foster strong relationships with clients, encouraging trust, and promoting open communication.
Patient Population / Client Focus

In this role, you will work primarily with clients experiencing psychological challenges related to trauma, anxiety, and depression. Your expertise will help guide these individuals through personalized interventions and therapeutic strategies, empowering them to reclaim their lives and achieve positive outcomes.

Qualifications
  • A Bachelor's Degree in Social Work from an accredited institution is required.
  • Possession of an active LCSW license in the state of Pennsylvania is essential.
  • Exceptional communication skills, both verbal and written, with an ability to articulate complex concepts with simplicity.
  • A strong aptitude for problem-solving, demonstrating initiative in addressing client needs and overcoming challenges.
  • A deep understanding of trauma-informed care principles and interventions.
Preferred Experience

While a minimum of two years of relevant field experience is required, candidates with a robust understanding of the latest treatment methodologies, particularly for anxiety and depression, will be given preference. Experience in a collaborative team setting, particularly in a remote capacity, is also highly valued.

Compensation and Benefits

This rewarding position offers a competitive salary ranging from USD 80,000 to 100,000 annually, commensurate with experience. In addition, Gotham Enterprises Ltd provides a comprehensive benefits package that includes:

  • Full medical, dental, and vision insurance coverage, ensuring your health and wellness needs are met.
  • Life and disability insurance for added peace of mind.
  • Malpractice insurance coverage, along with professional liability insurance to protect your practice.
  • An employee assistance program aimed at supporting your personal and professional well-being.
  • Opportunities for unlimited referrals, allowing you to grow your client base without restriction.
  • Minimal administrative paperwork, enabling you to focus on what matters: clients.
  • The fulfillment of maintaining a full caseload, providing a sense of accomplishment and purpose.
Career Growth Opportunities

At Gotham Enterprises Ltd, we are deeply committed to your professional development. Through continued education, mentoring programs, and leadership training, you will find ample opportunities for enhancement and advancement within our organization. You can envision a clear career trajectory as you grow alongside our esteemed team.

Why Join Our Team

Joining our team means becoming part of a mission-driven organization that is making a tangible difference in the lives of others. Our supportive work culture not only values your contributions but also promotes a work-life balance that prioritizes your health and happiness. With Gotham Enterprises Ltd, you will find a fulfilling career path in a nurturing environment dedicated to the well-being of both our clients and staff.

Application Information

If you are ready to take the next step in your career and make an impactful difference in the lives of those we serve, we encourage you to apply today. Please submit your resume along with a cover letter detailing your qualifications and experience. We look forward to welcoming dedicated professionals who share our passion for compassionate care.