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Machine Learning Engineer Software Engineer Jobs in Illinois

Senior Machine Learning Engineer (Nova)

Chicago, IL ยท On-site

$107K - $147K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Machine Learning Engineer

Chicago, IL ยท Remote

$96K - $131K/yr

Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Senior Machine Learning Engineer

Mossville, IL ยท On-site

$112K - $183K/yr

As a Machine Learning Infrastructure Engineer, you will be responsible for developing and deploying ... Software Development Life Cycle * Describes tasks, tools and practices for converting software ...

New

Senior AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

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Machine Learning Engineer Software Engineer information

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Illinois look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Engineer Software Engineer jobs? Cities in Illinois with the most Machine Learning Engineer Software Engineer job openings:
Senior Machine Learning Engineer (Nova)

Senior Machine Learning Engineer (Nova)

Iterable

Chicago, IL โ€ข On-site

$107K - $147K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams to enhance the Iterable platform.
Responsibilities:
โ€ข Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
โ€ข Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
โ€ข Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
โ€ข Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
โ€ข Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
โ€ข Prototype applied ML solutions to validate feasibility before investing in full builds.
โ€ข Ensure secure, robust handling of data used in ML workflows and retrieval operations.
โ€ข Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
โ€ข Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
Qualifications:
Required:
โ€ข 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
โ€ข Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
โ€ข Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
โ€ข Prior work integrating ML or LLM-powered features into production applications.
โ€ข Understanding of ML evaluation techniques, experimentation design, and failure analysis.
โ€ข Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
โ€ข Strong communication and collaboration skills in a distributed environment.
Preferred:
โ€ข Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
โ€ข Prior work with embeddings, searchโ€“ranking systems, or advanced RAG architectures.
โ€ข Familiarity with event-driven systems or streaming architectures.
โ€ข Experience with model observability, performance monitoring, or proactive regression detection.
โ€ข Background in personalization, recommendations, or applied NLP.
โ€ข Experience working in remote-first engineering teams.
Company:
Iterable is an AI-powered communication platform that improves customer retention with its marketing. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.