Machine Learning Engineer
Joliet, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Joliet, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Chicago, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Chicago, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Posted today
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Posted today
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Posted today
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Posted today
Machine Learning Engineer
Dekalb, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Dekalb, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Rockford, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Rockford, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Springfield, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Springfield, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Peoria, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Peoria, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Aurora, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Aurora, IL · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
Machine Learning Researchers work closely with Traders and Developers in an environment where ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
Machine Learning Researchers work closely with Traders and Developers in an environment where ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...
IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to ...
IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to ...
Quantum Software Engineer - Machine Learning
Chicago, IL · On-site
$100/hr
Duties, responsibilities, and activities may change, or new ones may be assigned: * Develop and implement quantum-inspired machine learning models, including tensor network-based architectures (e.g ...
Quantum Software Engineer - Machine Learning
Chicago, IL · On-site
$100/hr
Duties, responsibilities, and activities may change, or new ones may be assigned: * Develop and implement quantum-inspired machine learning models, including tensor network-based architectures (e.g ...
... experiment with and learn new technologies - NumPy, data science packages like sci-kit ... machine learning, deep learning, and natural language processing * Strong software engineering ...
... experiment with and learn new technologies - NumPy, data science packages like sci-kit ... machine learning, deep learning, and natural language processing * Strong software engineering ...
New Grad Machine Learning information
What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?
New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.
What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?
To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.
What is the difference between New Grad Machine Learning vs Data Scientist?
| Aspect | New Grad Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some internships | Bachelor's or Master's in CS, Statistics, or related; some experience |
| Work Environment | Entry-level, team-focused, research and development | Data analysis, modeling, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, startups, research labs | Tech, finance, healthcare, consulting firms |
New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.
What are 'New Grad Machine Learning' roles?
New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Illinois? For New Grad Machine Learning jobs in Illinois, the most frequently searched job titles are:
- Senior Machine Learning Engineer Biotech
- Flexible Machine Learning Engineer Biotech
- Deep Learning Engineer
- Volunteer Junior Machine Learning Engineer
- Manager Edge Ai Machine Learning
- Manager Remote Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Machine Learning Software Engineer
- Google Cloud Machine Learning Engineer
- Manager Machine Learning Finance
What job categories do people searching New Grad Machine Learning jobs in Illinois look for? The top searched job categories for New Grad Machine Learning jobs in Illinois are:
- Video Game Critic
- Llm Training
- Contractual Machine Learning Government
- Director Aws Machine Learning
- Machine Learning Engineer Two
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- Contract Computer Vision Deep Learning Engineer
- Contract Apple Machine Learning Engineer
- Senior Machine Learning Ops Engineer
- Reinforcement Learning Engineer
What cities in Illinois are hiring for New Grad Machine Learning jobs? Cities in Illinois with the most New Grad Machine Learning job openings:
Full-time
Posted 28 days ago
Job description
About Us
We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.
We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.
What You'll Be Working On
You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.
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 preferred; familiar with training loops, optimizers, mixed precision)
Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior
Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives
Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)
Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination