Machine Learning Jobs in Chicago, IL

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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.

Retail Sales Associate - Downtown Park Ridge

Company: Gap Inc.

Location: Park Ridge, IL

Posted Jan 24, 2025

Athleta, a certified B Corp, is seeking passionate individuals to join their team. The role involves providing excellent customer service, educating customers about products, and promoting brand loyalty. The company values inclusivity, collaboration, and personal/professional growth. Benefits include a merchandise discount, competitive Paid Time Off, volunteer time, extensive 401(k) plan, and health insurance. Athleta is committed to diversity and inclusion, recently recognized by Forbes as one of the World's Best Employers and Best Employers for Diversity.

Service and Engagement Team Leader

Company: Target

Location: Bolingbrook, IL

Posted Jan 24, 2025

Target is offering a competitive pay range of $23.50 - $39.95 per hour, with variations based on factors like labor markets, education, experience, and certifications. The company provides comprehensive benefits including health insurance, 401(k), employee discount, and various leave options. As a Service and Engagement Team Leader, one can expect a dynamic role involving guest service, team leadership, and business operations. Key responsibilities include demonstrating a service culture, leading a team of guest advocates, and ensuring efficient digital and physical offerings. Target values diversity, equity, and inclusion, and expects team members to uphold ethical conduct, safety, and compliance.

Veterinary Assistant - 000425

Company: Banfield Pet Hospital

Location: Tinley Park, IL

Posted Jan 24, 2025

Banfield Pet Hospital offers rewarding Veterinary Assistant careers. These professionals work closely with other pet health care experts, advocating for pets and educating clients on pet health. They support veterinarians and technicians, ensuring pet and client safety, and maintaining cleanliness. Vet Assistants at Banfield use their technical skills daily, communicate effectively, and mentor team members. Benefits include 401(k) participation, paid time off, and Optimum Wellness Plans for pets. Banfield supports professional growth with development plans, learning opportunities, and community involvement.

Store Manager In Training

Company: CVS Health

Location: Crystal Lake, IL

Posted Jan 24, 2025

Occupancy Specialist II (Jackson Park Terrace)

Company: WinnCompanies

Location: Chicago, IL

Posted Jan 24, 2025

WinnCompanies is seeking a detail-oriented Occupancy Specialist II for their Jackson Park Terrace property in Chicago, IL. The role involves assisting with tenant recertifications, processing forms, conducting interviews, and ensuring compliance with regulatory agencies. The position offers a pay range of $2163 to $2404 per hour based on experience and a full-time schedule. Requirements include a high school diploma, relevant work experience, computer skills, and excellent communication abilities. Preferred qualifications include a degree, Tax Credit Specialist Certification, and SHCM certification. Benefits include generous time off, 401k options, comprehensive medical plans, and tuition reimbursement. WinnCompanies is a nationally recognized leader in apartment community management and development, offering a job that is rewarding, challenging, and conducive to professional growth.

Lockbox Processor - Mailroom

Company: PNC

Location: Itasca, IL

Posted Jan 24, 2025

(USA) Personal Shopper - Sam's

Company: Walmart

Location: O'Fallon, IL

Posted Jan 24, 2025

The job involves developing and supporting membership by providing information on benefits, promoting products, processing memberships, and meeting sales goals. Safety maintenance of the facility is also crucial, including following safety standards, handling hazardous materials, and reporting unsafe situations. The role includes fulfilling member orders, providing excellent member service, and complying with company policies. Benefits include competitive pay, performance-based bonuses, health, financial, and paid time off benefits, and additional perks like disability coverage, company discounts, and education benefits. The hourly wage range is $18.00 to $25.00, with potential premiums based on specific circumstances.

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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