Design, develop, fine-tune, and deploy generative AI models (GANs, VAEs, transformers). Collaborate with cross-functional teams, troubleshoot model issues, document work, and communicate technical concepts to non-technical stakeholders while staying current on research.
Key Responsibilities:
- Model Development: Design and develop algorithms for generative models using deep learning techniques.
- Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems.
- Research: Stay updated on the latest advancements in generative AI technologies and methodologies.
- Optimization: Fine-tune models for performance and efficiency.
- Troubleshooting: Address and resolve issues related to generative AI models and implementations.
- Documentation: Create and maintain comprehensive documentation for AI models and their applications.
- Communication: Explain complex technical concepts to non-technical stakeholders.
Required Skills and Qualifications:
- 6+ years of strong background in machine learning and deep learning algorithms.
- Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
- Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT)
- Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations.
- Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- Skills in data preprocessing and feature engineering for AI model training.
- Strong understanding of neural network architectures and optimization techniques.
- Experience in deploying AI models into production environments.
Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Rubrik invites engineers to join their talent community to be part of a team dedicated to data security, innovation, and inclusion. Candidates should be motivated to tackle challenges and contribute to product development.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Rubrik invites individuals to join their talent community to stay connected and explore employment opportunities, fostering inclusion and equal opportunity.
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
The Business Development Senior Director at OpenX will lead efforts in securing strategic CTV partnerships, enhancing product offerings, and overseeing relationships with premium CTV publishers. Responsibilities include prospecting new partnerships, negotiating contracts, and collaborating with Account Management to drive CTV supply growth.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
