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Remote Google Machine Learning Engineer Jobs in Vernon Hills, IL

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

K1X

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... • Experience in machine learning and general data science • Data visualization • ... Google, AWS or other cloud-platform experience • SDLC Tools & Processes: JIRA, Docker, Git-flow ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Data Engineering to build micro services into our data lake. A career at Strike is an exciting ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Design, implement, and optimize advanced machine learning and optimization models to address ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Vernon Hills, IL

Remote Google Machine Learning Engineer information

See Vernon Hills, IL salary details

$30.7K

$125.4K

$188.5K

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

As of Aug 20, 2026, the average yearly pay for remote google machine learning engineer in Vernon Hills, IL is $125,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $151,000.00 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 Vernon Hills, IL?

For Remote Google Machine Learning Engineer jobs in Vernon Hills, IL, the most frequently searched job titles are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Vernon Hills, IL look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Vernon Hills, IL are:

What cities near Vernon Hills, IL are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Vernon Hills, IL with the most Remote Google Machine Learning Engineer job openings:

Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Vernon Hills, IL as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $125,443 per year, or $60.3 per hour.

Quantitative Researcher, Machine Learning - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Job description

Quantitative Researcher, Machine Learning - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Quantitative Researcher Responsibilities:
- Develop predictive models and use data-driven insights to maximize strategy performance and identify new trading opportunities.
- Design and implement robust and scalable CI/CD data pipelines.
- Translate machine learning algorithms into code.
- Support current strategies and help develop new strategies utilizing our proprietary software.
- Stay up to date on cutting-edge machine learning techniques.
Quantitative Researcher Qualifications:
- Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
- Practical experience applying machine learning techniques for trading applications is preferred.
- Experience with high-performance computing (HPC) environments such as SLURM is preferred.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) is preferred.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C++, TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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