Job Description
Are you ready to architect the future?
OmniTech Solutions is at the forefront of the technological revolution. We are not just building software for today; we are engineering the systems that will define the landscape of 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D division in San Francisco.
In this pivotal role, you will lead the charge in developing next-generation artificial intelligence models, pushing the boundaries of what is possible with Large Language Models (LLMs) and generative algorithms. If you are passionate about solving complex problems and have a desire to leave a lasting legacy in the tech world, we want to meet you.
Why Join Us?
- Work on cutting-edge projects that influence global standards.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a dynamic office culture in SF.
- Access to the latest hardware and research tools.
Responsibilities
- Design, train, and fine-tune advanced machine learning models, specifically focusing on LLMs and generative AI architectures.
- Lead architectural decisions for scalable AI infrastructure, ensuring high availability and performance.
- Collaborate with product managers and engineers to translate complex business requirements into technical AI solutions.
- Optimize model inference latency and reduce computational costs through advanced engineering techniques.
- Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Stay abreast of the latest research in AI to implement state-of-the-art techniques within our production environment.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior technical role.
- Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
- Deep understanding of neural network architectures, transformer models, and natural language processing.
- Experience deploying models to production environments using cloud services (AWS, GCP, or Azure).
- Proven track record of shipping high-impact products and research papers.