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.

Sales Consultant

Company:

Location: Mount Prospect, IL

Posted Jan 23, 2025

Mattress Firm is offering a Sleep Expert position with extensive customer-centric training, excellent career growth opportunities, and comprehensive benefits. The role involves creating a customer-focused environment, providing technical knowledge, driving sales, and maintaining customer relationships. Mattress Firm emphasizes its commitment to helping people sleep well to live well, investing in new associates' training and offering performance-based bonuses. The company values diversity and inclusion, and the pay range is $51,000 - $74,000.

Rehab Nursing Tech I - C. N. A.

Company:

Location: Gurnee, IL

Posted Jan 23, 2025

Sleep Expert - Sales

Company:

Location: Chicago, IL

Posted Jan 23, 2025

Sales Professional

Company:

Location: Homewood, IL

Posted Jan 23, 2025

Pharmacy Intern Grad

Company: Walgreens

Location: Joliet, IL

Posted Jan 23, 2025

(USA) Staff Pharmacist

Company: Walmart

Location: Peoria, IL

Posted Jan 23, 2025

Store Executive Intern (Store Leadership Intern)- Naperville, IL (Starting Summer 2025)

Company: Target

Location: Naperville, IL

Posted Jan 23, 2025

Target is offering a paid 40-hour-per-week Stores Executive Leadership Internship. This program aims to provide a realistic job preview of an Executive Team Leader role. Interns will learn about guest service fundamentals, retail business, and team management. They will work closely with mentors, leading a team, driving sales, and providing exceptional guest service. The internship also includes ongoing developmental conversations and opportunities for growth. Target values leaders who are ethical, committed to safety, and promote an inclusive culture.

Retail Sales Associate - Rivertree Court

Company: Gap Inc.

Location: Vernon Hills, IL

Posted Jan 23, 2025

Old Navy is a fashion retailer that aims to democratize style and make shopping enjoyable. Established in 1994, the company offers high-quality, affordable essentials for the whole family. The role involves providing excellent customer service, product expertise, and promoting brand loyalty. Employees are expected to be communicative, tech-savvy, and problem-solvers, with a focus on continuous improvement. Benefits include a merchandise discount, competitive Paid Time Off, volunteer hours, extensive 401(k) plan, and health insurance. Old Navy is committed to diversity and inclusion, recently recognized by Forbes as one of the World's Best Employers and for Diversity.

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.

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