Cutting-Edge Technology Jobs in Chicago, IL

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Looking for Cutting-Edge Technology jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technology position in the Chicago, IL area.

Insurance Marketing Lead

Company: TransUnion

Location: Chicago, IL

Posted Jan 25, 2025

Biostatistics Summer Associate

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 Biostatistics Summer Associate for 2025. The intern will work on projects like assessing real-world response between different data modalities and constructing External Control Arms using patient-level data. The role offers a comprehensive overview of Tempus' mission, professional development, and a competitive salary. The intern will work in Tempus' Chicago office for 8-10 weeks, starting in early June.

Energy Sales Retail Associate

Company: Sunrun

Location: Naperville, IL

Posted Jan 25, 2025

Automation and Controls Engineer

Company: Diageo

Location: Plainfield, 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 by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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