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.

(USA) Vision Center Manager NL 1

Company: Walmart

Location: Sheffield, IL

Posted Jan 24, 2025

Principal Partner Account Manager, Heartland Region

Company: Cloudflare

Location: Chicago, IL

Posted Jan 24, 2025

Cloudflare, a leading company in the Internet infrastructure sector, is seeking a seasoned partner sales professional for its Chicago office. The role involves building and managing a network of resellers and systems integrators to expand the company's sales reach. The ideal candidate should have extensive experience in software/SaaS/security sales and channel management, with a proven track record in developing a partner ecosystem. The position offers a competitive salary, incentive compensation, and equity participation. Cloudflare is known for its commitment to protecting the free and open Internet, offering initiatives like Project Galileo and 1.1.1.1, and is an equal opportunity employer.

Intern, Real Estate

Company: CN

Location: Homewood, IL

Posted Jan 24, 2025

(USA) General Manager (Fashion, Import, Jewelry, Regional, Wm.Com-7005 Only, Returns)

Company: Walmart

Location: Ottawa, IL

Posted Jan 24, 2025

The role involves communicating with various stakeholders, driving and implementing business plans, managing financial aspects, ensuring compliance with standards, resolving concerns, serving as a community liaison, leading facility leadership, and upholding company values. The position requires a bachelor's degree and 3-5 years of senior management experience in operations/logistics/retail. Preferred qualifications include experience in apparel product development, business operations, compliance, facilities planning, financial modeling, logistics, modeling/forecasting, budgeting, P&L accountability, recruiting, supervising associates, talent development, and Walmart logistics management. The annual salary range is $128,000.00-$250,000.00, with additional performance bonuses. Benefits include competitive pay, health coverage, 401(k), stock purchase, life insurance, PTO, parental leave, disability coverage, and education benefits.

Employment Investigator

Company: Meta

Location: Chicago, IL

Posted Jan 24, 2025

Fall 2025 Intern - Meshing (Masters)

Company: Ansys

Location: Evanston, IL

Posted Jan 24, 2025

Ansys, a global leader in engineering simulation, is offering an Emerging Talent program for students to gain experiential learning and structured job experiences. The program aims to convert interns into full-time employees. As an Emerging Talent Intern, you will work on the Meshing development team, researching, designing, and implementing mesh generation algorithms. You will also enhance the User Interface for pre-processing workflows and collaborate with expert professionals. Minimum qualifications include a degree in Computer Science, Mechanical, Aerospace, or related engineering field, and experience with object-oriented application features using C++ or C. Preferred qualifications include exposure to scripting languages, coursework in computational geometry and FEA, and knowledge of agile development methodologies.

Residential Support Specialist

Company: TruGreen

Location: Crestwood, IL

Posted Jan 24, 2025

Senior Manufacturing Engineer

Company: Eaton

Location: Atlanta, IL

Posted Jan 24, 2025

Vice President / Software Engineer

Company: Bank of America

Location: Chicago, IL

Posted Jan 24, 2025

Bank of America is seeking a software engineer to produce efficient solutions for complex financial problems on the Quartz Platform. The role involves utilizing knowledge of financial and non-financial components of Quartz, identifying root causes of production issues, and assessing emerging technologies like Machine Learning. The ideal candidate should have a Bachelor's degree in Computer Science or related field, and 5 years of experience in assessing code solutions, algorithmic optimization, network security, database design, and financial markets assessment. The position offers a salary range of $185,000 - $195,000 annually, and is eligible for discretionary incentives and benefits.

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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