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Junior Machine Learning Compiler Engineer Jobs in Illinois

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... feature engineering for structured and unstructured data sources * Mentor junior researchers and ...

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

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Junior Machine Learning Compiler Engineer information

What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a Junior Machine Learning Compiler Engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

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

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Illinois? The most popular types of Machine Learning Compiler Engineer jobs in Illinois are:
What cities in Illinois are hiring for Junior Machine Learning Compiler Engineer jobs? Cities in Illinois with the most Junior Machine Learning Compiler Engineer job openings:

Junior Machine Learning Scientist, Digital Pathology

Jobright.ai

Chicago, IL

Full-time

Medical, Vision, Retirement

Posted 27 days ago


Job description

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

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Job Summary:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We are seeking a highly motivated and skilled Machine Learning Scientist to join our Digital Pathology Data Science team, where you will design, develop, and deploy AI models and algorithms tailored to healthcare and precision medicine.

Responsibilities:

• Develop and Implement AI/ML Models: Design, train, and validate machine learning models for analyzing digital pathology images (whole-slide images) to perform tasks like biomarkers and outcomes prediction.

• Algorithm Validation and Deployment: Validate ML/AI algorithms analytically and/or clinically, and deploy them into existing workflows or production environments.

• Data Analysis and Curation: Work with large-scale pathology datasets, ensuring data quality and integrity, collecting annotations, and preprocessing for model training and evaluation.

• Collaboration: Collaborate with a multidisciplinary team including pathologists, biologists, statisticians, data analysts, and engineers to integrate AI solutions and transform health care.

• Research and Innovation: Stay updated on the latest advancements in AI, machine learning, digital pathology, and multi-modal healthcare to contribute to ongoing projects and identify new opportunities.

• Biomarker Discovery: Assist in identifying biomarkers from histopathology and spatial omics data to support patient stratification and companion diagnostic efforts.

Qualifications:

Required:

• Ph.D. (or MS and 2+ years of working experience) in Computer Science, Artificial Intelligence, Data Science, Computational Biology, or a related field. A strong academic background with a focus on imaging for healthcare applications is preferred.

• Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, weakly supervised learning and self-supervised learning.

• Extensive experience in developing and implementing imaging AI models, such as ViT, CNNs, Unet, and related architectures including tasks such as classification, segmentation or detection.

• Outstanding analytical and problem-solving skills, with a particular focus on understanding the intricacies of multi-modal medical datasets.

• Proficiency in programming languages and packages commonly used in AI research, such as Python and PyTorch / Tensorflow.

• Strong collaboration and communication abilities.

• Track record in publications, patents, and/or launched products in this space.

Preferred:

• Experience in pre-training and fine-tuning unimodal or multimodal foundation models.

• Experience working with histopathology images, DNA/RNA molecular sequencing data or clinical data (structured EHRs, clinical notes).

• Experience working in an industry setting.

Company:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. Founded in 2015, the company is headquartered in Chicago, Illinois, USA, with a team of 1001-5000 employees. The company is currently Public Company. Tempus AI has a track record of offering H1B sponsorships.

Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • IndustriesSoftware Development

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401(k)

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