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Remote Director Machine Learning Jobs in Chicago, IL

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Direct inquiries only, no recruiters please. Powered by JazzHR BubMRyRCXm

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Lead Data Scientist

Chicago, IL · On-site +1

$83K - $170K/yr

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

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Showing results 1-20

Remote Director Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

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

As of Jul 14, 2026, the average yearly pay for remote director machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What cities near Chicago, IL are hiring for Remote Director Machine Learning jobs? Cities near Chicago, IL with the most Remote Director Machine Learning job openings:
Staff AI Scientist - AI Products / Life Sciences

Staff AI Scientist - AI Products / Life Sciences

Tempus

Chicago, IL • On-site, Remote

$220K - $260K/yr

Full-time

Re-posted 27 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The AI Products group is a multidisciplinary group of AI scientists and engineers focused on developing AI-driven precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff AI Scientist, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal AI models that leverage one of the world's largest clinical and molecular datasets-transforming patient care at a massive scale.

Key Responsibilities

  • Technical Leadership: This is a high-impact individual contributor role, while significant hands-on contribution is expected. Architect and lead the development of AI-intensive projects from initial research to production-ready design.

  • Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

  • Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

  • Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.

  • Scientific Contribution: Maintain Tempus's position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.

Qualifications

We value diverse perspectives and recognize that outstanding talent doesn't always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.

  • Education: Ph.D. in Computer Science, or a related quantitative field.

  • Professional Experience: 3+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

  • Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare AI is highly valued but not required.

  • Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare AI venues are preferred.

  • Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.

#LI-BL1

New York Pay Range - $220,000-$260,000USD

California Pay Range - $220,000-$260,000USD

Illinois Pay Range - $200,000-$240,000USD

Remote - USA Range - $200,000-$240,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.