We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...
We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...
Remote Angular Full Stack Developer information
See Cookeville, TN salary details
$20.54 - $25.35
1% of jobs
$25.35 - $30.17
3% of jobs
$30.17 - $34.98
5% of jobs
$34.98 - $39.80
7% of jobs
$42.29 is the 25th percentile. Wages below this are outliers.
$39.80 - $44.62
16% of jobs
$44.62 - $49.43
17% of jobs
The median wage is $49.58 / hr.
$49.43 - $54.25
18% of jobs
$57.16 is the 75th percentile. Wages above this are outliers.
$54.25 - $59.07
13% of jobs
$59.07 - $63.88
9% of jobs
$63.88 - $68.70
6% of jobs
$68.70 - $73.52
4% of jobs
$20
$50
$73
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What is the difference between Remote Angular Full Stack Developer vs Remote Front End Developer?
| Aspect | Remote Angular Full Stack Developer | Remote Front End Developer |
|---|---|---|
| Required Skills | Angular, Node.js, JavaScript, HTML, CSS, database knowledge | Angular, HTML, CSS, JavaScript, UI/UX design |
| Work Environment | Full stack development across client and server sides | Focus on client-side UI and user experience |
| Common Industry Usage | Web applications requiring both front-end and back-end development | Front-end interfaces for websites and apps |
Remote Angular Full Stack Developers handle both front-end and back-end tasks, requiring knowledge of server-side technologies like Node.js. In contrast, Remote Front End Developers focus solely on creating and optimizing user interfaces using Angular and related front-end tools. While both roles require Angular expertise, full stack developers have a broader skill set that includes server-side development, making them suitable for projects needing end-to-end solutions.
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Cities near Cookeville, TN with the most Remote Angular Full Stack Developer job openings:
Contractor
Re-posted 14 days ago
Job description
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.