ZipRecruiter

Log In

1

Junior Machine Learning Compiler Engineer Jobs in Ohio

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in Ohio

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 popular job titles related to Junior Machine Learning Compiler Engineer jobs in Ohio?

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

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

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

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

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

Junior Machine Learning Compiler Engineer jobs near you

Software Engineer, Junior

Dayton, OH

Skyline Scientific Inc
See more jobs at Skyline Scientific Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Description

JOB TITLE/TYPE: 

Software Engineer, Junior


JOB SUMMARY 


Are you looking for more than just a seat on a contract? Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy? At Skyline Scientific, your skills will shape the future.


Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development in support of national security missions. This role is ideal for someone who can do more than write assigned code. We are looking for someone who can understand a technical problem, design the software logic, build modular workflows, and work closely with sensor, data, and machine learning experts to turn complex technical concepts into usable tools.

You do not need to be the sensor expert on day one. You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software that supports simulation, training data workflows, automation, analysis, and operational decision-making.


We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you're looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you.


This job opportunity is in Dayton, Ohio, and entails direct support to clients at Wright-Patterson AFB. Work may be performed in both Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments.


Why Skyline Scientific?

  • Technical Mission Work: Build Python-based tools for sensor data, scientific data, training pipelines, simulation, automation, and mission analytics.
  • Small Expert Team: Work directly with scientists, sensor experts, machine learning specialists, and customers without excessive bureaucracy.
  • Industry-Leading Benefits: 15% employer 401(k) contribution with no employee contribution required, employer-paid healthcare, and one of the strongest benefits packages in the industry.

JOB RESPONSIBILITIES:

  • Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine learning, and operational applications.
  • Work with sensor experts, scientists, machine learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
  • Create clear software architecture, block diagrams, code structure, and documentation so that tools can be maintained, extended, and transitioned to other users.
  • Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine learning-enabled tools, and software modules into deployable software packages.
  • Manage, maintain, and optimize Git repositories 

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
  • 3+ years of algorithm development, scientific computing, machine learning workflow support, or related technical software experience.
  • Programming experience for software development, data processing, automation, analysis, or algorithm implementation.
  • Ability to work from technical requirements and create logical software architecture, workflows, and implementation plans.
  • Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and technical constraints.
  • Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
  • U.S. citizenship and ability to obtain and maintain a security clearance.
  • Willingness and ability to work in classified or secure customer environments.

PREFERRED QUALIFICATIONS:

  • Active Top Secret, TS/SCI
  • Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
  • Experience with sensor data, scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
  • Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific/engineering applications.
  • Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
  • Background in mathematics, engineering, physics, image science, electrical engineering, computer engineering, or scientific computing.
  • Experience using Git Repository
  • Experience integrating algorithms into existing software suites or operational workflows.
  • Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.
  • Self-motivated, adaptable, and comfortable learning new technical domains.

BENEFITS:

  • Attractive Salary 
  • Paid Time Off (PTO): 25 days 
  • Medical, Dental & Vision: Employer-Paid
  • Disability & Life Insurance Coverage  
  • 401k:15% Employer Match (no contribution required) 
  • Profit Sharing Options 
  • Compressed Workweek Options 
  • Annual Performance Bonus 
  • Referral & Incentive Bonus Opportunities
  • Professional Development & Education Assistance
  • Relocation Assistance Options

Join Skyline Scientific-Where Innovation Meets Mission.


This isn't a role where you'll sit idle on a contract-it's an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security.


If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent, apply today.


Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.


Apply