Applied Scientist (Deep Learning) - Remote Work | REF#299892
Indexed description
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As an Applied Scientist specializing in Deep Learning, you will design and implement advanced multilayered neural networks to solve complex predictive and representational challenges. You will act as a key link between cutting-edge research and production-grade model development, ensuring that architectures are both theoretically sound and computationally efficient.
What You'll Do
- Design and develop custom deep learning architectures for tasks such as classification, regression, and representation learning.
- Implement and optimize large-scale model training using distributed training strategies and GPU optimization techniques.
- Utilize PyTorch and Python to build robust, high-performance deep learning solutions tailored to specific business needs.
- Optimize training workflows through mixed-precision training and efficient data handling to reduce iteration cycles.
- Collaborate with cross-functional teams to integrate deep learning models into scalable production environments.
- Stay at the forefront of AI research to apply emerging techniques in neural networks and training optimization.
- 4+ years of experience in Applied Science, Machine Learning, or Deep Learning.
- Proven expertise in designing and optimizing deep learning architectures using PyTorch.
- Hands-on experience with distributed training and GPU optimization techniques.
- Proficiency in developing custom model architectures and implementing mixed-precision training.
- Strong background in large-scale model development and training optimization.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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