Researcher (Reinforcement Learning)

About the Company

Synthesis AI enables the world’s most advanced AI companies to build more powerful and ethical computer vision. The company’s synthetic data and simulation platform was recently recognized as a Top 10 Breakthrough Technology by MIT Tech Review and ranked #4 on Fast Company’s Global List of Most Innovative Small Companies. Synthesis AI is an ambitious team of technologists, researchers, creatives, and product designers driving a paradigm change in AI.

Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ on-demand platform creates vast amounts of perfectly-labeled image data to train AI models at orders of magnitude increased speed and reduced cost.

Current customers include Fortune 10 companies, top smartphone manufacturers, global technology enterprises, and leading AR/VR/metaverse companies.

Learn more about Synthesis AI here.

About the Job

Synthesis AI is looking for a Senior Researcher to join our ML team. With synthetic data, we have a unique opportunity to easily adapt our datasets for particular applications.

You will be working on developing “closing-the-loop” techniques, adapting datasets to particular tasks, and using the real-world performance of a trained model as feedback.

The impact you will have:

• You will help us to develop cutting-edge automatic and human-assisted methods for synthetic dataset specialization.

What we look for:

• At least 5 years of experience in Reinforcement Learning (ideally related to model architecture search, augmentation selection, or hyper parameter optimization).
• Basic understanding of common CV tasks (segmentation, landmarks, gaze estimation).
• Experience with pytorch, numpy, opencv, scipy, matplotlib.

Our benefits:

• Health insurance coverage for employees, including vision, dental, and family coverage
• Extended vacation time
• Parental leave
• Competitive salary
• Equity
• Remote flexibility

We encourage you to apply even if your experience doesn't perfectly align with the job description. Team members who love to learn and collaborate in an inclusive environment will flourish here. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.