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Remote Machine Learning Researcher Jobs in Des Plaines, IL

Perform independent research and fact-checking to validate technical information. * Annotate data ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Perform independent research and fact-checking to validate technical information. * Annotate data ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Job Summary The Staff Scientist will conduct original research modeling immune-microbe interactions using computational and machine learning approaches. The role emphasizes exploratory work at the ...

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Our Data Scientists research and create our learning infrastructure using Python and then work with ...

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

... learning, and guiding clients to understand what makes people tick and drive strategy and ... Execute research programs drawing from established methodologies for ethnography, remote research ...

... learning, and guiding clients to understand what makes people tick and drive strategy and ... Execute research programs drawing from established methodologies for ethnography, remote research ...

... learning, and guiding clients to understand what makes people tick and drive strategy and ... Execute research programs drawing from established methodologies for ethnography, remote research ...

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Remote Machine Learning Researcher information

See Des Plaines, IL salary details

$29.2K

$110.2K

$160.3K

How much do remote machine learning researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning researcher in Des Plaines, IL is $110,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

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

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What cities near Des Plaines, IL are hiring for Remote Machine Learning Researcher jobs?

Cities near Des Plaines, IL with the most Remote Machine Learning Researcher job openings:

Infographic showing various Remote Machine Learning Researcher job openings in Des Plaines, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,215 per year, or $53 per hour.

Trading Strategy Software Engineer

BlackEdge Capital

Chicago, IL • On-site, Remote

Full-time

Re-posted yesterday


Job description

The Role

BlackEdge Capital is hiring a Trading Strategy Software Engineer to join our technology team and build the systems at the heart of a high frequency, machine learning driven trading effort that operates at the nanosecond level. This is a focused, ambitious initiative at an early stage, which means real ownership and the chance to shape the systems and the codebase from the ground up. Members of our executive team are hands on in this work right now, so you will build alongside the people setting the firm's long-term technical and trading direction.

You will own performance critical software in C++, co-design the hot path with our FPGA hardware engineers, and work shoulder to shoulder with researchers to move machine learning models from idea to live trading. This is a role for someone energized by sitting at the intersection of low-level systems, custom hardware, and applied research, where every nanosecond on the path from signal to order matters.

What You'll Do
  • Design, build, and relentlessly optimize nanosecond level trading systems in C++, owning code from architecture through live production.
  • Partner closely with hardware engineers on FPGA integration, co-designing the software/hardware logic split and communication across that boundary.
  • Work directly with researchers to take machine learning signals from idea to development to production by integrating them into our automated trading system.
  • Keep the codebase clean: we favor a pragmatic, deliberately chosen subset of modern C++ that prioritizes simplicity, clarity, and maintainability.
What We're Looking For
  • Pragmatic C++: Strong command of modern C++ in performance critical systems, with the judgment to keep code simple and clear.
  • Systems depth: Deep understanding of operating system design, cache behavior, memory, and concurrency and how they can be tuned to extract performance.
  • Low latency mindset: A demonstrated ability to design and reason about latency critical software; you think in nanoseconds, not just milliseconds.
  • Collaboration: You enjoy working across boundaries and communicate well with people from diverse backgrounds and skills.
Nice to Have
  • Hands on experience with FPGAs, HLS, or close software/hardware co design.
  • Kernel bypass networking (ef_vi / OpenOnload, DPDK) and low-level network programming.
  • Exposure to machine learning, quantitative research, or production model deployment.
  • Familiarity with futures markets or market microstructure.
About BlackEdge Capital

BlackEdge Capital is a proprietary options market maker built on industry leading technology and a deeply collaborative culture. We compete at the highest technical level in electronic markets, and we win by pairing exceptional engineering with incisive research. Everyone here is a genuine partner in the trading process, embedded in the strategy, close to the technology, and shaping the direction of the firm itself.

How We Work

We are Chicago based and support remote work. We value clarity and simplicity over cleverness for its own sake, tight feedback loops between trading, technology, and operations, and people who take ownership end to end.

Compensation is highly competitive, with significant upside clearly and explicitly tied to firm profit and individual performance. Our model is transparent: bonuses are a share of firm profit, and because your share scales with your performance, a strong year for you and the firm compounds.


Interested? Send us your resume and a short note on where you see yourself contributing at BlackEdge. Humans review every submission.

BlackEdge Capital is an equal opportunity employer. We evaluate candidates on the merit of their work and welcome applicants of every background.