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Remote Google Machine Learning Engineer Jobs in Illinois

AI/ML

Chicago, IL ยท Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting ...

Senior ML Engineer

Chicago, IL ยท Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

AI/ML

Des Plaines, IL ยท Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting ...

Senior AI/ML Engineer

Springfield, IL ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Remote Google Machine Learning Engineer information

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, and why are they important?

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 the most commonly searched types of Google Machine Learning Engineer jobs in Illinois? The most popular types of Google Machine Learning Engineer jobs in Illinois are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Illinois look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Remote Google Machine Learning Engineer jobs? Cities in Illinois with the most Remote Google Machine Learning Engineer job openings:

Senior Google Media Buyer (Contract, Full-time)

MVR Digital

Chicago, IL โ€ข Remote

$4K - $5K/mo

Contractor

PTO

Posted 6 days ago


Job description

Senior Google Media Buyer MVR Digital | Remote | Full-Time


About MVR Digital

MVR Digital is a performance marketing agency recognized by Adweek as one of the Fastest Growing Agencies. We manage paid media for growth-stage DTC and e-commerce brands spending $100K to $1M+ monthly across Meta, Google, TikTok, and more.


We're remote-first with roots in New York, Denver, and Canada. Our clients come to us after being burned by agencies that overpromise. They stay because we own outcomes and tell them the truth.


The Role

You'll manage Google Ads campaigns across multiple e-commerce and DTC accounts, working closely with strategists and client success. This role is non-client-facing, but it's not purely executional either.


We want someone who understands Google's ecosystem well enough to have opinions. You know when the campaign structure is working against the algorithm, when Performance Max is cannibalizing Search, and when the bidding strategy needs a reset. You bring that thinking to the team, and you execute on it with precision.

EST hours preferred, with required overlap from 10 AM to 1 PM EST. As the agency scales, strong buyers get access to larger and more complex accounts.


What You'll Do

  • Own Google Ads execution across e-commerce accounts, including Search, Shopping, Performance Max, YouTube, and Demand Gen
  • Monitor daily pacing and performance, adjusting budgets and bids as needed
  • Troubleshoot issues quickly and execute optimizations without waiting to be prompted
  • Contribute strategic input on account structure, testing approach, and campaign architecture
  • Run structured tests across bidding strategies, audiences, and creative formats
  • Stay current on Google platform changes, algorithm behavior, and best practices, and apply them proactively
  • Maintain tracking integrity across GA4, GTM, and conversion events, and flag data quality issues before they affect decisions
  • Build and maintain Looker Studio reporting that gives the CSM and strategist what they need without extra asks
  • Maintain clean campaign structures, naming conventions, and documentation across all accounts
  • Collaborate in Slack and ClickUp to stay aligned with strategists and client success


What You Bring

Google (Required)

  • 4+ years of hands-on Google Ads buying experience for DTC or e-commerce brands
  • Deep expertise across Search, Shopping, Performance Max, and YouTube, including the strategic rationale behind each
  • Strong understanding of Google's machine learning systems and how campaign structure decisions affect them
  • Experience managing accounts with $100K+ monthly ad spend across multiple accounts simultaneously
  • Ability to diagnose performance issues at the structural, bidding, and creative level
  • Solid command of GA4, GTM, conversion tracking setup, and attribution windows
  • Current on Google platform changes and able to translate them into account decisions
  • E-commerce background


Nice to Have

  • Meta Ads experience for DTC or e-commerce brands
  • TikTok Ads Manager experience
  • Microsoft Ads experience


Working Style

  • You work autonomously and follow through without reminders
  • You bring observations and recommendations, not just status updates
  • You communicate clearly in writing in an async-first environment
  • You flag performance shifts before they show up on someone else's radar


How We Work

Our values shape how we operate day to day, not just what we put on a website.

  • Act Like an Owner. You spot problems and bring solutions. Waiting to be told is not the standard.
  • Clarity Over Complexity. Clean structures, clear communication, simple systems. If it's complicated, we make it simpler.
  • Serve Clients' Best Interest. Your execution directly fuels client outcomes. That connection matters here.
  • Data-Informed, Human-Led. Numbers guide decisions. Judgment closes them.
  • We Win Together, We Lose Together. Strategists, creatives, and buyers succeed as a unit. Credit and accountability are shared.


Compensation and Perks

  • USD $4,800 to $5,000/month, based on experience
  • Full-time contractor arrangement
  • PTO, paid sick leave, and local holidays observed
  • Flexible Fridays
  • Fully remote


You're a Good Fit If

  • You know Google well enough to push back when the structure or strategy isn't right
  • You can spot whether underperformance is a bidding problem, a structure problem, or a tracking problem
  • You flag issues before they show up in client calls
  • You want a focused role with a high-caliber team and room to grow into more complex accounts
  • You've managed multiple accounts and know how to keep each one sharp without letting anything go stale