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Remote 180K Jobs in Secaucus, NJ (NOW HIRING)

Harnham

Senior ML Engineer Adtech

Manhattan, NY · Remote

$180K - $200K/yr

Senior ML Engineer Full Remote $180K-$200K base A fast-growing AI product company operating in real-time decisioning, large-scale machine learning, and data-driven optimization. The business builds ...

Quota

Account Executive

New York, NY · Remote

$80K - $170K/yr

Remote (Multiple Companies & Markets) Job Type: Full-Time (Role-dependent) Compensation: $70,000 ... Mid-Market AE: $120K - $180K OTE * Enterprise AE: $180K - $250K+ OTE Who This Is For Quota is ...

Cerebras

Full Stack Engineer, Lending

Manhattan, NY · On-site +1

$180K - $260K/yr

Location United States (Remote) Employment Type Full time Location Type Remote Department Engineering Compensation $180K - $260K • Offers Equity Pay is generally based upon the level, complexity ...

Symmetry

Remote Work Sales Agent

Newark, NJ · Remote

$180K/yr

Remote Work Sales Agent Must be authorized to work in the US, no work visas offered at this time ... Our full-time agents who follow our system make approximately $75k-180k in their first year ...

Lightyear

Senior Product Manager

Manhattan, NY · Remote

$150K - $180K/yr

The total cash compensation range is estimated to be within $150-180k. This position is fully remote. Responsibilities for this role include: * Own the product vision for several key areas of ...

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Remote 180K information

See Secaucus, NJ salary details

$25.4K

$111.9K

$162.7K

How much do remote 180k jobs pay per year?

As of May 28, 2026, the average yearly pay for remote 180k in Secaucus, NJ is $111,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $131,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote 180K vs Data Scientist?

AspectRemote 180KData Scientist
Typical CredentialsBachelor's/Master's in CS, Analytics, or related fieldsBachelor's/Master's in CS, Statistics, or related fields
Work EnvironmentRemote, flexible hours, tech companies, startupsRemote or on-site, tech and finance industries, collaborative teams
Employer UsageSalary benchmark for high-paying remote rolesRole focus on data analysis, modeling, and insights

Remote 180K typically refers to high-paying remote tech roles with salaries around $180,000, often in software engineering or product management. Data Scientists also earn high salaries and work in similar environments, but their focus is on data analysis, modeling, and deriving insights. While both roles may be remote and require similar credentials, Remote 180K is a salary benchmark, whereas Data Scientist specifies a job function within data analysis teams.

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What job categories do people searching Remote 180K jobs in Secaucus, NJ look for? The top searched job categories for Remote 180K jobs in Secaucus, NJ are:
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Remote 180K jobs near you
Senior ML Engineer Adtech

Senior ML Engineer Adtech

Harnham

Manhattan, NY • Remote

$180K - $200K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior ML EngineerFull Remote$180K-$200K base
A fast-growing AI product company operating in real-time decisioning, large-scale machine learning, and data-driven optimization. The business builds advanced AI systems used by major brands to automate and optimize high-impact decisions at massive scale. Strong engineering culture, modern ML infrastructure, and real product ownership in a highly technical environment.
Mission
  • Architect, train, and maintain distributed machine learning systems powering core AI products
  • Build and optimize neural network models for large-scale prediction, classification, and optimization
  • Develop feature engineering pipelines on big data using Spark and modern data platforms
  • Own the full ML lifecycle: training, tuning, evaluation, batch inference, and observability
  • Design and operate production-grade ML pipelines with a focus on reliability, automation, and reproducibility
Profile:
  • 5-10 years of industry experience building and deploying ML systems at scale
  • Hands-on experience with distributed training and large-scale data processing (e.g., Ray, Spark, multi-GPU)
  • Deep understanding of MLOps best practices: model versioning, experiment tracking, monitoring, reproducibility
  • Familiarity with cloud platforms (AWS or equivalent), modern data stacks, and CI/CD pipelines
  • Bonus: experience in adtech, optimization systems, reinforcement learning, LLMs, or large-scale embeddings

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