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From Home Machine Learning Compiler Engineer Jobs in Ohio

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Mentorship from senior ML engineers * Opportunity for full-time conversion * H1B sponsorship ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Mentorship from senior ML engineers * Opportunity for full-time conversion * H1B sponsorship ...

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and datasets primarily focused on remote sensing (SAR/RF, acoustic, EO/IR, and LIDAR) applications. You will ...

Machine Learning Engineer

Beavercreek, OH · On-site

$87.10K - $157.45K/yr

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and datasets primarily focused on remote sensing (SAR/RF, acoustic, EO/IR, and LIDAR) applications. You will ...

Machine Learning Engineer II

Columbus, OH

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Lead and deliver ML projects from conception to production deployment, impacting thousands of ...

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Lead and deliver ML projects from conception to production deployment, impacting thousands of ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

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From Home Machine Learning Compiler Engineer information

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

AspectFrom Home Machine Learning Compiler EngineerFrom Home Data Scientist
Required SkillsProgramming (C++, Python), compiler design, ML frameworksStatistics, data analysis, programming (Python, R), visualization
Work EnvironmentRemote, software development teams, tech companiesRemote, analytics teams, research institutions
Industry UsageTech, AI, hardware optimizationTech, finance, healthcare, research

While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

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 From Home Machine Learning Compiler Engineer jobs in Ohio? For From Home Machine Learning Compiler Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in Ohio look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in Ohio are:
What cities in Ohio are hiring for From Home Machine Learning Compiler Engineer jobs? Cities in Ohio with the most From Home Machine Learning Compiler Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Required Experience:
  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
  • Strong programming skills in at least one of the following languages Python, Matlab, C++
  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:
  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
  • A mathematical background (Probability and Statistics)
  • An experienced grasp of version control using Git for nonlinear workflows
  • Thorough understanding of working in research, development and production environments
  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
  • R&D on remotely sensed data to include modeling and development of algorithms.
  • Ability to work independently or in a team environment
  • Strong technical writing and oral communication skills
  • Active Top Secret/SCI clearance

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