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Remote Deep Learning Engineer Jobs in Wharton, NJ

Varsity Tutors

FE - Civil Engineering Tutor

Clifton, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Varsity Tutors

FE - Civil Engineering Tutor

Paramus, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Varsity Tutors

FE - Civil Engineering Tutor

Summit, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Varsity Tutors

FE - Civil Engineering Tutor

Paterson, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Varsity Tutors

Structural Engineering Tutor

Clifton, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

Varsity Tutors

Structural Engineering Tutor

Summit, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

Varsity Tutors

Structural Engineering Tutor

Paramus, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

Varsity Tutors

Structural Engineering Tutor

Paterson, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

System One

Associate Manufacturing Engineer

Mahwah, NJ · Remote

$35 - $41/hr

Hybrid - onsite and remote Responsibilities * Coordinate project activities supporting capital ... Spend time both in the office and on the manufacturing floor, learning the project lifecycle and ...

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn. * Deep understanding of DevOps principles, agile methodologies and software development ...

Varsity Tutors

Replit Tutor

Clifton, NJ · Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Wharton, NJ

Remote Deep Learning Engineer information

See Wharton, NJ salary details

$11.5K

$87.4K

$145.8K

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

As of Aug 17, 2026, the average yearly pay for remote deep learning engineer in Wharton, NJ is $87,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $144,800.00 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 cities near Wharton, NJ are hiring for Remote Deep Learning Engineer jobs?

Cities near Wharton, NJ with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Senior Endpoint Security Engineer - Carbon Black & Symantec

Plurilock

Branchburg, NJ • Remote

$117K - $160K/yr

Contractor

Re-posted 16 days ago

Job description

Senior Endpoint Security Engineer – Carbon Black & Symantec


Contract or Contract to Hire

Remote USA

**No Agencies Please





Position Summary


We are seeking a Senior Endpoint Security Engineer with deep expertise in VMware Carbon Black and Symantec endpoint security platforms. This role owns the design, deployment, optimization, and lifecycle management of endpoint protection technologies across enterprise environments. The Senior Engineer will drive strategy, lead complex troubleshooting, mentor junior team members, and serve as a subject matter expert during threat investigations and architectural decisions.


Key Responsibilities


• Lead enterprise-wide deployment, configuration, and lifecycle operations for Carbon Black and Symantec endpoint platforms.

• Architect scalable endpoint security solutions aligned to organizational standards and zero-trust principles.

• Develop and refine advanced policies, application controls, EDR rules, tamper protection settings, and prevention controls.

• Oversee tuning activities to balance protection, performance, and operational efficiency.

• Serve as Tier 3 engineering escalation for endpoint security issues and agent health failures.

• Lead deep-dive incident investigations using Carbon Black and Symantec telemetry, process analysis, and behavioral tracking.

• Build integrations with SIEM, SOAR, vulnerability management, and IT ops tools.

• Drive automation of endpoint management tasks through PowerShell, Python, or Bash.

• Create enterprise standards, architecture documentation, runbooks, and engineering playbooks.

• Mentor mid-level and junior engineers; contribute to team capability development.

• Evaluate new capabilities, conduct PoCs, and recommend improvements to endpoint strategy.

• Support compliance requirements including ISO 27001, NIST CSF, CIS Controls, and sector-specific mandates.


Required Qualifications


• 6–10 years of experience in information security or endpoint engineering roles.

• Expert-level experience with VMware Carbon Black (App Control, EDR, Cloud) including advanced policy design, incident response, and console administration.

• Expert-level experience with Symantec endpoint security platforms (SEP, SES, Symantec EDR, content policy tuning).

• Strong understanding of endpoint forensics, malware analysis fundamentals, and attacker tradecraft.

• Proficiency with Windows, macOS, and/or Linux endpoint internals and event logging.

• Demonstrated experience integrating endpoint data with SIEM/SOAR platforms.

• Ability to lead complex troubleshooting involving OS, network, and security layers.

• Strong documentation, communication, and technical leadership abilities.


Preferred Qualifications


• Experience designing enterprise security architectures or zero-trust endpoint models.

• Significant experience in environments with 5,000+ endpoints.

• Development or automation experience with PowerShell, Python, Bash, or REST APIs.

• Experience with threat modeling, purple teaming, or incident response leadership.

• Certifications such as CBCA, CBCM, Symantec/Broadcom certifications, GSEC, GCED, GCIA, GCFA, or similar.

Soft Skills & Leadership

• Strong ownership mindset with the ability to drive outcomes with minimal oversight.

• Capable of leading cross-functional initiatives involving SOC, IT, cloud engineering, and compliance teams.

• High judgment and ability to balance business, operational, and security requirements.

• Able to communicate complex technical concepts to executives and non-technical stakeholders.

• Mentors others, raises team maturity, and establishes engineering best practices.




Hiring Assumptions: Potential Start date - January 1, 2026