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Junior Machine Learning Compiler Engineer Jobs in Ohio

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 ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

$140 - $190/hr

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights. This role sits at the ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

$102.41 - $170.69/hr

About You In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience. Essential * Extensive and proven track record of shipping ...

$100 - $150/hr

We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X, a programmatic advertising platform. You will take end-to-end responsibility for ...

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Guide and mentor junior engineers by breaking down technical work, reviewing code, explaining model ...

Showing results 21-40

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 Ohio?

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

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 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:

Machine Learning Engineer

Etegent Technologies

Beavercreek, OH • On-site

Other

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

Machine Learning Engineer


Accepting candidates LOCAL to Beavercreek, OH only.

An active TS security clearance is required.


About the Company:

Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers’ most significant challenges and opportunities.

Most important to us are our culture and values. Etegent’s culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.


The Position:

Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.


We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.


This position is based in Beavercreek, OH with the expectation of being in Etegent’s office or at a customer facility 5 days a week.


The Candidate:

More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.


Job Responsibilities:

  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports.
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications.
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.


Required Qualifications:

  • Bachelor’s Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, Tensorflow, or similar).
  • Experience developing software tools capable of deriving value from large, diverse datasets.
  • Background in data science, statistics, and/or computer vision.
  • Experience creating python-based user interfaces for data visualization.
  • Experience with Python, Git, and Linux.
  • An active TS security clearance.


Preferred Qualifications:

  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
  • Experience creating user interfaces with Dash, Streamlit, or other similar frameworks.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.


Attributes:

  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks.
  • Effective communicator who can collaborate with teammates and customers to solve problems.
  • Able to take personal ownership and responsibility over their work.


Working at Etegent:

At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!


Competitive compensation based on qualifications and experience of candidate.


Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.