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Remote Deep Learning Engineer Jobs in Palatine, IL

Senior ML Engineer

Chicago, IL · 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 Software Engineer

Lake Forest, IL · On-site +1

$103K - $172K/yr

... deep learning). * Proficient in securing APIs, managing authentication/authorization and data ... remote. The working arrangement for this position will be confirmed during the hiring process.

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

This role will work with many other back-end development teams, including Deep Learning and Mobile ... key engineering talent is efficiently allocated * Work effectively with remote teams across ...

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 ... deep learning methods. * Expertise in feature engineering, model evaluation, and hyperparameter ...

... engineers to join them. This is a remote position for any US-based candidate. Our client ... In this position, you will be expected to have a deep technical understanding of blockchain ...

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to ... PTO and Flexible working hours and remote work options * Opportunities for professional growth and ...

Substation Physical Engineer - REMOTE

Chicago, IL · On-site +1

$101K - $129K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ...

Showing results 21-40

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 6, 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:

Senior ML Engineer

Career Renew

Chicago, IL • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Re-posted 4 days ago


Job description

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.
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

Requirements:
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.