About us
Apira Technologies is an emerging technology company operating at the leading edge of augmented reality, computer vision, 3D rendering, machine learning (ML), and artificial intelligence (AI). We are developing a suite of virtual engagement tools.
**Machine Learning Engineer - GAN Model Development**
**Overview:**
This project includes developing a new single image morph model for real-time, photorealistic morphs. We are seeking a talented Machine Learning Engineer with prior experience developing novel generative adversarial network (GAN) morph models. As a Machine Learning Engineer, you will play a crucial role in developing cutting-edge machine learning models and algorithms to drive business growth and innovation.
**Responsibilities:**
- Design and implement machine learning algorithms and GAN models that can conduct high-quality face morphs in real-time.
- Collaborate with cross-functional teams to integrate ML models related to identity protection into production systems
- Develop ML-pipelines for novel GAN models that can process output with low latency (under 30-40 ms)
- Stay updated on the latest trends and advancements in machine learning technologies
**Qualifications:**
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proven experience in GANs, morph models, ML model development, computer vision, landmark detection,
- Strong problem-solving skills and analytical thinking
- Excellent communication and teamwork abilities
Join our team as a Machine Learning Engineer and be part of a dynamic environment constantly pushing the boundaries of what is possible. Take the next step in your career with us!
Job Type: Full-time
Pay: $163,199.00 - $172,487.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Compensation package:
- Bonus opportunities
- Employee stock ownership plan
- Performance bonus
- RSU
Experience level:
Schedule:
Experience:
- Python: 1 year (Preferred)
- GAN: 1 year (Preferred)
- Computer vision: 1 year (Preferred)
Ability to Commute:
Ability to Relocate:
- Remote: Relocate before starting work (Preferred)
Work Location: Remote