Machine Learning Jobs in Chicago, IL

21,986 open positions · Updated daily

Looking for Machine Learning jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Chicago, IL area.

STARBUCKS/BARISTA

Company: Kroger

Location: Villa Park, IL

Posted Jan 25, 2025

Quality Engineering Summer Analyst

Company: Tempus AI

Location: Chicago, IL

Posted Jan 25, 2025

Tempus, a company passionate about precision medicine and advancing healthcare, is seeking a highly qualified undergraduate Quality Engineering Summer Analyst for the summer of 2025. The intern will work on comprehensive projects, collaborate with teams, and gain professional development. The anticipated projects include participating in issue management processes, supporting customer health authority audits, assisting with lab-developed test and medical device development, and assisting with documentation updates. Qualifications include pursuing a Bachelor's degree in Engineering or Science, a 3.0 GPA or higher, knowledge of statistical analysis, and strong communication and computer skills. The internship will be a hybrid onsite/remote, 8-10 weeks long, starting in early June and running through August. A competitive hourly wage and relocation bonus will be provided.

Patient Care Technician

Company: DaVita

Location: Edwardsville, IL

Posted Jan 25, 2025

Lockbox Processor - Mailroom

Company: PNC

Location: Itasca, IL

Posted Jan 25, 2025

Director, Data Science

Company: West Monroe

Location: Chicago, IL

Posted Jan 25, 2025

Application Engineer ( FullStack )

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

Machine Learning Summer Associate, Cell Imaging

Company: Tempus AI

Location: Chicago, IL

Posted Jan 25, 2025

Tempus, a company passionate about precision medicine and advancing healthcare, is seeking a highly qualified advanced degree Cell Imaging Summer Associate for the summer of 2025. The intern will work on comprehensive projects, collaborate with teams, and gain professional development. The role involves researching and developing next-generation computer vision models for high throughput microscopy, digital pathology, and spatial transcriptomics. Qualifications include a masters, MBA, or PhD in computational biology, biostatistics, statistics, or a related quantitative field with a strong background in machine learning and Python. The internship offers a competitive hourly wage, relocation bonus, and housing resources. It is a hybrid onsite/remote role in Chicago, starting in early June and running through August.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

Related Pages