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Remote Machine Learning Engineer Jobs in Munster, IN

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Machine Learning, and Operations Research models that transform business objectives into data ...

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 ... Machine Learning, and Operations Research models that transform business objectives into data ...

micro1 AI

Software Engineer - AI Coding Expert

Chicago, IL · Remote

$100 - $230/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Maximus

AI/ML Software Developer

Hammond, IN · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Chicago, IL · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Gary, IN · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site +1

Machine Learning Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

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All JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Munster, IN

Remote Machine Learning Engineer information

See Munster, IN salary details

$30.7K

$125.7K

$188.8K

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

As of Jul 3, 2026, the average yearly pay for remote machine learning engineer in Munster, IN is $125,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,300.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What cities near Munster, IN are hiring for Remote Machine Learning Engineer jobs? Cities near Munster, IN with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Munster, IN as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution, with an average salary of $125,665 per year, or $60.4 per hour.
Senior Manager - Machine Learning

Senior Manager - Machine Learning

CCC Intelligent Solutions, Inc.

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 5 days ago

Job description

Salary range is:
$136,885.10 - $200,000.00
This position is bonus and/or commission eligible.
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we're making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We're pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.
The Role
We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation business. This role is critical to expanding the emerging subrogation market for CCC and as such is responsible for enhancing the technological edge of CCC's subrogation products through technical excellence, innovation, and agile development.
Key Responsibilities:
  • Partner with product managers and business stakeholders to define technical goals and outcomes for the ML team
  • Coordinate cross-functional collaboration and delivery for ML subrogation initiatives
  • Lead the team to deliver cutting-edge ML features using best-in-class software engineering practices
  • Establish industry-leading standards for ML development and deployment

Requirements:
  • Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
  • Expertise with ML system design, model deployment, and production ML systems
  • Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
  • Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM)
  • Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
  • Proven ability to build, mentor, and scale high-performing technical teams
  • Experience translating business objectives into technical roadmaps and deliverables
  • Ability to balance technical excellence with business priorities and timelines
  • Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders including articulation of AI risks and measures taken to mitigate it
  • Strong stakeholder management and cross-functional collaboration skills
  • 8+ years in ML/Data Science, with 3+ years managing ML/DS teams

Preferred Qualifications:
  • Experience in subrogation, claims processing, insurance or financial technology
  • Experience in managing teams of 10+ engineers

Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC's success.
CCC offers competitive compensation and benefits to support you and your families, including:
  • 401K Match
  • Paid time off
  • Annual Incentive Plan Performance Bonus
  • Comprehensive health insurance
  • Adoption Assistance
  • Tuition Reimbursement
  • Wellness Programs
  • Stock Purchase Plan options
  • Employee Resource Groups

For more information about our benefits, please check out our careers site.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here
If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.

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