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Remote Google Machine Learning Engineer Jobs in Trenton, NJ

Cisco

Senior Software Engineer

Philadelphia, PA · On-site +1

$123K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other- machine-learning capabilities and their ...

YO AI Labs

SolidWorks Expert - Remote

Philadelphia, PA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Vhr_jazz

Principal, Data Engineering (Remote)

Philadelphia, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Code Versioning, DevOps, CD/CI). * Support collaboration with RnD Researchers, Data scientists and ... Knowledge of machine learning operations (MLOps) and model deployment. * Strong problem-solving and ...

Brillio

Databricks Architect - R01568474

Edison, NJ · On-site +1

$180K - $190K/yr

... machine learning, and AI-driven business capabilities. * Define scalable data architecture ... data engineering patterns. * Google Cloud Track: BigQuery, Dataproc, Dataflow, Vertex AI, Cloud ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Trenton, NJ

Remote Google Machine Learning Engineer information

See Trenton, NJ salary details

$31.6K

$129.1K

$194K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote google machine learning engineer in Trenton, NJ is $129,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $155,400.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Trenton, NJ?

For Remote Google Machine Learning Engineer jobs in Trenton, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Trenton, NJ look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Trenton, NJ are:

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Remote Google Machine Learning Engineer jobs near you

AI Assessment Specialist - PhD - AI Trainer

Mercor

Philadelphia, PA • On-site, Remote

$66 - $84/hr

Full-time

Posted 4 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: Applied Computer Science Benchmark Specialist
Type: Contract
Compensation: $66–$84/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original computer science questions that test deep conceptual understanding.
  • Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as Medium, Hard, or Expert.
  • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
  • Write step-by-step Chain-of-Thought solutions in markdown format.
  • Supply 1–5 academic references per question from reputable sources.
  • For verification tasks: flag issues with clarity, completeness, precision, or solvability.

Qualifications

Must-Have

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Research publications, industry experience at top tech companies, or competitive programming background.

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.


#hiringmercor