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Machine Learning Engineer New Grad Jobs in Naperville, IL

IMC

Principal Machine Learning Engineer

Chicago, IL

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Global scope - Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST ... Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Participate in identifying and assessing opportunities i.e. value of new data sources and ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Be comfortable presenting new concepts to technical audiences. * Collaborate with partners ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Huxley

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Our client is looking to bring on a Senior Machine Learning Engineer to help build and scale a ... Stay on the cutting edge of speech + LLM research and rapidly prototype new methods (e.g., Whisper ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Be comfortable presenting new concepts to technical audiences. * Collaborate with partners ...

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Machine Learning Engineer New Grad information

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$31.5K

$128.6K

$193.2K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning engineer new grad in Naperville, IL is $128,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What job categories do people searching Machine Learning Engineer New Grad jobs in Naperville, IL look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Machine Learning Engineer New Grad jobs? Cities near Naperville, IL with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you

Principal Machine Learning Engineer

IMC

Chicago, IL

$200K - $250K/yr

Other

PTO

Posted 13 days ago

Job description

At IMC, we believe technology is the foundation of our competitive edge - and machine learning is increasingly central to how we trade. Over the past few years, we've been steadily building our machine learning capabilities: developing infrastructure, growing our in-house GPU cluster, deploying models into production, and partnering closely with quant researchers and traders to generate real impact. Now we're expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows. We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models - and help set the direction for how machine learning is done at IMC as we scale. If you've built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firm's future - we'd love to hear from you.
Your Core Responsibilities:
  • Design and build end-to-end infrastructure for training, evaluation, and productionization of ML models, working closely with our HPC engineers who manage our on-prem compute cluster
  • Influence foundational choices around data access, compute orchestration, experiment tracking, model versioning, and deployment pipelines
  • Partner with quant researchers to accelerate iteration cycles, tighten feedback loops, and bring models from prototype to live trading
  • Work with researchers to adapt and deploy modern architectures - transformers, state-space models, temporal convolutions, graph neural networks - to noisy, high-frequency financial data. Explore techniques like self-supervised pretraining, representation learning, and cross-sectional modelling where they offer genuine edge
  • Shape our approach to reproducibility, continual learning, and production monitoring across a petabyte-scale data environment
  • Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
  • Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work - whether that's new architectures, training techniques, or tooling

Your Skills and Experience:
  • 8+ years of experience building ML platforms or infrastructure at a leading tech company, research lab, or quantitative firm
  • A track record of designing and owning large-scale training and inference systems - not just contributing, but architecting
  • Deep proficiency in Python, with strong experience in either CUDA or C++
  • Hands-on expertise with modern deep learning frameworks (PyTorch, TensorFlow, or JAX) and practical experience implementing architectures like transformers, attention mechanisms, or sequence models
  • Strong foundation in deep learning fundamentals: optimization, regularization, loss design, and the trade-offs that matter when training at scale
  • Experience with distributed training at scale (Horovod, NCCL) and GPU optimization (cuDNN, TensorRT)
  • History of deploying models to production with strong observability, reproducibility, and monitoring practices
  • Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

Why This Role:
  • Build, don't inherit - You'll make foundational technology choices in a platform that's still being defined, not maintain someone else's legacy.
  • Real investment, real backing - This is a strategic priority with resources behind it, not a side experiment.
  • Direct impact on trading - Your infrastructure will power models that make real trading decisions in competitive global markets.
  • Global scope - Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and beyond; define practices that can scale worldwide.
  • Ideas over titles - IMC's culture values clarity, rigor, and collaboration. The best ideas win, regardless of where they come from.
  • Tight coupling with research - You won't be building in isolation. Researchers and engineers work side-by-side, iterating together.

#LI-DNP
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$200,000-$250,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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