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Remote Distributed Antenna System Jobs in Newark, NJ

GIA Legacy Planning is a life insurance distribution agency helping families protect what they have ... Connect with interested clients through our proprietary lead system - people who have already ...

Senior System Planning Advisor

Manhattan, NY · On-site +1

$127K - $227K/yr

This is a REMOTE position supporting system planning and gridmodernization initiatives across the U ... Support integration of renewable generation, battery energy storage systems (BESS), distributed ...

New

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Support the collection and integration of data across various sources and systems. * Audit website ... Python programming with knowledge of distributed computing (Hadoop, Apache Project). * Power BI ...

Graphic Designer (Remote)

New York, NY · Remote

$2.0K - $4.0K/mo

... distribution to drive outsized impact. See our work: Role Overview We're looking for a Graphic ... Own design systems within Figma Build highly detailed, organized style frames ready for production.

Showing results 21-40

Remote Distributed Antenna System information

See Newark, NJ salary details

$95.2K

$208.4K

$264.6K

How much do remote distributed antenna system jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote distributed antenna system in Newark, NJ is $208,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $174,600.00 and $264,600.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Distributed Antenna System jobs in Newark, NJ? For Remote Distributed Antenna System jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Distributed Antenna System jobs in Newark, NJ look for? The top searched job categories for Remote Distributed Antenna System jobs in Newark, NJ are:

ML Systems Engineer - Fully Remote | Upto $110/hr

Mercor

New York, NY • Remote

$110/hr

Full-time

Re-posted 7 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: PyTorch Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Triton or Pallas.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.