"synthetic data generation" Jobs
87 open tech roles matching “synthetic data generation”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, PyTorch. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 87 results
Lead technical execution of synthetic data generation projects to enhance AI model training and performance.
Drive high-throughput data generation to enhance AI models for therapeutic molecule design in a collaborative, interdisciplinary environment.
Join Cartesia as a Research Engineer to design high-quality datasets and engineer data pipelines for cutting-edge AI models.
Join Cartesia as a Software Engineer to shape data infrastructure for cutting-edge AI models in a collaborative, in-office environment.
Lead Protege's DataLab to define research strategies and drive impactful AI data initiatives.
Join Descript as an Applied Research Scientist to develop multimodal understanding models for innovative AI editing features.
Join Protege as a Machine Learning Researcher to define and evaluate datasets for advanced AI systems.
Join Asimov as a Staff Software Engineer to build tools for bioengineers on a mission to transform biological engineering.
Join Anthropic as a Research Scientist to drive biological discoveries by integrating AI with hands-on medicinal chemistry.
Join Periodic Labs as a Midtraining Research Engineer to enhance scientific reasoning in AI models for groundbreaking discoveries.
Lead research in realtime audio understanding and human AI interaction at a pioneering AI startup.
Join Handshake as a Data Partnership Strategist to drive data partnerships that empower AI advancements.
Join Cartesia as an Applied Researcher to enhance generative audio models by bridging customer needs with innovative research.
Join Snorkel AI as a Research Scientist to bridge cutting-edge research and real-world AI systems in a dynamic environment.
Join Reflection AI as a hands-on technical staff member to enhance model performance through data-driven evaluations and feedback loops.