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Junior Machine Learning Compiler Engineer Jobs in Wisconsin

Devitechs

WI · On-site

$80 - $120/hr

* Design, develop, and deploy machine learning models for real-world applications. Ensure models are ... Mentor junior team members and provide technical guidance. Contribute to team growth and knowledge ...

Myparadigm

WI · On-site

$140 - $190/hr

Deploy and support machine learning models and AI solutions in production, maintaining best ... Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and ...

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... developing reusable frameworks and standardized solutions to streamline model implementation

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Allen Control Systems

WI · On-site

$170 - $230/hr

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company ... Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI

$103K - $141K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

TBK Bank, SSB

WI · On-site

$206.26 - $330.02/hr

We are constantly exploring new techniques in deep learning, transfer learning, and model optimization to improve the accuracy and efficiency of our systems. We know that good engineers can pick up ...

Socket.dev

WI · On-site

$140 - $200/hr

This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development. We are not looking for someone who simply deploys ...

EM Key Solutions Inc

AI Engineer

Oregon, WI · On-site

$120 - $190/hr

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Neura Market

WI · On-site

$109 - $215/hr

... a machine learning background. Joining this team, you will be pivotal in a product engineering ... Have experience with compiler design, code parsing or related areas * Familiarity with concepts ...

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Junior Machine Learning Compiler Engineer information

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 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 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 Wisconsin?

The most popular types of Machine Learning Compiler Engineer jobs in Wisconsin are:

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Wisconsin?

For Junior Machine Learning Compiler Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Compiler Engineer jobs in Wisconsin look for?

The top searched job categories for Junior Machine Learning Compiler Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Junior Machine Learning Compiler Engineer jobs?

Cities in Wisconsin with the most Junior Machine Learning Compiler Engineer job openings:

Junior Machine Learning Compiler Engineer jobs near you

AI & Machine Learning Developer

Johnson Health Tech Companies

Cottage Grove, WI • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 21 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

153rd of 495 rated machine equipment manufacturers

Job description

Description:


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer – Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech’s mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

· Research, design, and implement AI/ML solutions for mobile fitness applications.

· Develop and fine-tune LLMs for natural language interactions and personalization.

· Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

· Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

· Collaborate with Android developers to integrate AI features into client-side applications.

· Create prototypes and proof-of-concepts for new AI-driven features.

· Stay current with emerging AI/ML technologies and best practices.

· Ensure compliance with data privacy and security standards.

Requirements:


Education:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.


Experience:

· 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

· Hands-on experience with AWS services for AI/ML deployment.

· Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

· Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

· Health & Dental Insurance

· Company paid Life Insurance

· 401(k)

· Paid Time Off benefits

· Product discounts

· Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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