Job Description
Are you ready to define the future of artificial intelligence?
Apex Innovations is looking for a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the next generation of Generative AI solutions, and we need a technical expert to lead our research and deployment efforts.
In this pivotal role, you will not just use existing tools; you will help shape the roadmap for our technology stack leading up to 2026. You will work on cutting-edge Large Language Models (LLMs), ensuring they are scalable, efficient, and ethically sound.
Why Apex Innovations?
- Impact: Your work will directly influence millions of users globally.
- Future-Proofing: Work on forward-thinking projects specifically aligned with the 2026 tech vision.
- Compensation: Competitive salary, equity package, and comprehensive benefits.
Responsibilities
- Architect and deploy state-of-the-art Machine Learning models using Python, TensorFlow, and PyTorch.
- Lead the research and development of Generative AI and Natural Language Processing (NLP) capabilities.
- Optimize deep learning pipelines for high-performance inference in production environments.
- Collaborate closely with product managers and engineering teams to translate business requirements into technical solutions.
- Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Stay ahead of emerging AI trends to ensure our architecture remains relevant for the 2026 landscape.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of hands-on experience in Machine Learning and Deep Learning.
- Expert proficiency in Python, SQL, and major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with distributed computing systems (Kubernetes, Docker) and cloud platforms (AWS, GCP).
- Strong understanding of LLMs, transformers, and neural network architectures.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.