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Machine Learning Object Detection Jobs in Alsip, IL

Infleqtion

Sr Software Engineer

Chicago, IL · On-site

$106K - $145K/yr

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy, Scipy, and Pytorch * Experience with image analysis, emphasis on realtime object detection

Infleqtion

Sr Software Engineer

Chicago, IL

$106K - $145K/yr

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy, Scipy, and Pytorch * Experience with image analysis, emphasis on realtime object detection

Deloitte

Manager - Data Science / Data Lake

Chicago, IL · On-site

... machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration • Working with cyber data platforms, cloud ...

New

The Aspen Group

Senior Site Reliability Engineer

Chicago, IL · On-site

$58.75 - $78/hr

Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets. * Drive improvements in ...

The Aspen Group

Senior Site Reliability Engineer

Chicago, IL · On-site

$58.75 - $78/hr

Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets. * Drive improvements in ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL

$117.60K - $206K/yr

... detection, and natural language processing required. Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required.

Vizient

Lead Data Scientist

Chicago, IL

$117.60K - $206K/yr

... detection, and natural language processing required. * Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required.

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Machine Learning Object Detection information

See Alsip, IL salary details

$32.1K

$131.1K

$197K

How much do machine learning object detection jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning object detection in Alsip, IL is $131,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Alsip, IL? For Machine Learning Object Detection jobs in Alsip, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Alsip, IL look for? The top searched job categories for Machine Learning Object Detection jobs in Alsip, IL are:
What cities near Alsip, IL are hiring for Machine Learning Object Detection jobs? Cities near Alsip, IL with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Chicago, IL • On-site

$170K - $230K/yr

Full-time

Posted 16 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
What You Will Do:
  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
  • Design and maintain Airflow-based orchestration for batch clinical workflows
  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
  • Participate in the pod's on-call rotation
  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
  • Author and review design docs for cross-pod work
  • Raise the engineering bar through code review and design review

Required Qualifications:
  • Strong command of Python in production environments
  • Experience designing, building, and integrating with microservices in production
  • Deployed data orchestration workflows in production (Airflow or equivalent)
  • Worked on cloud-native services (GCP preferred but not required)
  • Built monitoring, observability, and alerting for production systems
  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:
  • Operated production systems hands-on - on-call rotations, incident response, postmortems
  • Experience building eval / quality measurement systems for ML or LLM outputs
  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
  • Built internal platforms or SDKs that other engineers / scientists depended on
  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
  • Contributions to relevant open-source projects

#LI-BL1
New York Pay Range - $170,000 - $230,000 USD
California Pay Range - $170,000 - $230,000 USD
Illinois Pay Range - $150,000 - $210,000 USD
Remote - USA Range - $150,000 - $210,000 USD
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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