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Internship Remote Rust Developer Jobs in Ohio (NOW HIRING)

Strong programming skills in Python; familiarity with Rust or other languages is a plus ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Sr. Staff / Senior DevSecOps Engineer

Dayton, OH · On-site +1

$111K - $152K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Additional programming experience with strongly typed languages such as C++ or Rust * Familiarity ...

$44K - $61K/yr

Provides clinical supervision and training to staff, psychology interns within the SCS APA ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Behavioral Health Post Doctoral Fellow

Oxford, OH · On-site +1

$46K - $62K/yr

Provides clinical supervision and training to staff, psychology interns within the SCS APA ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

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Internship Remote Rust Developer information

What is the difference between Internship Remote Rust Developer vs Remote Rust Developer?

AspectInternship Remote Rust DeveloperRemote Rust Developer
Required CredentialsBasic programming knowledge, possibly some coursework or certificationsProven experience, strong Rust skills, relevant certifications
Work EnvironmentRemote, often part-time or temporaryRemote, full-time, professional setting
Employer & Industry UsageInternship programs, startups, tech companiesEstablished companies, tech industry, software development

The main difference is that an Internship Remote Rust Developer is typically a beginner-level position aimed at gaining experience, often part-time or temporary, while a Remote Rust Developer is a full-time role requiring proven skills and experience. Internships serve as a stepping stone into the industry, whereas remote developers are expected to contribute independently to projects.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 20 days ago


Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.