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Remote Deep Learning Engineer Jobs in Palatine, IL

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred ... A passion for continued learning and an interest in staying current with the rapidly evolving data ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Familiarity with NLP or deep learning techniques What you'll experience working for ULS UL ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Familiarity with NLP or deep learning techniques What you'll experience working for ULS UL ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

zerohash

Senior Solutions Engineer (Remote)

Chicago, IL · Remote

$56.50 - $73/hr

Experience using AI-assisted tools to accelerate learning, troubleshooting, and execution. Benefits ... fast, programmable, and global. zerohash is trusted by some of the world's most recognized ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Our work environment: Remote opportunities Growth advancement opportunities Flexible work ... Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Our work environment: Remote opportunities Growth advancement opportunities Flexible work ... Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Our work environment: Remote opportunities Growth advancement opportunities Flexible work ... Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site +1

Louis) While candidates in the listed locations are encouraged for this role, we are open to remote ... learning, or AI). * A deep technical understanding of the impact that Data + AI can drive within ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... The ideal candidate is a self-motivated problem solver with strong intellectual curiosity, deep ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... The ideal candidate is a self-motivated problem solver with strong intellectual curiosity, deep ...

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Showing results 41-60

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Palatine, IL

Remote Deep Learning Engineer information

See Palatine, IL salary details

$11.1K

$84.3K

$140.7K

How much do remote deep learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote deep learning engineer in Palatine, IL is $84,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $139,700.00 per year, depending on experience, location, and employer.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What job categories do people searching Remote Deep Learning Engineer jobs in Palatine, IL look for? The top searched job categories for Remote Deep Learning Engineer jobs in Palatine, IL are:
What cities near Palatine, IL are hiring for Remote Deep Learning Engineer jobs? Cities near Palatine, IL with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you

Trading Strategy Software Engineer

BlackEdge Capital

Chicago, IL • On-site, Remote

Other

Re-posted 18 days ago

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.

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