Job Description
Are you a visionary engineer ready to shape the future of Generative AI?
Apex Innovations is on a mission to redefine human-machine interaction through scalable, robust, and ethically sound Artificial Intelligence. We are seeking a Senior Machine Learning Engineer to join our elite AI division in San Francisco. You will be at the forefront of developing next-generation Large Language Models (LLMs) and multimodal systems.
In this role, you will not just write code; you will architect the infrastructure that powers intelligent applications used by millions. If you thrive in a fast-paced, high-impact environment and want to push the boundaries of what's possible in 2024 and beyond, we want to meet you.
Responsibilities
- Design, develop, and deploy state-of-the-art machine learning models and algorithms.
- Optimize and scale existing AI infrastructure for high-throughput, low-latency inference.
- Collaborate with data scientists and product managers to translate business requirements into technical solutions.
- Implement MLOps best practices to ensure model reliability, monitoring, and retraining pipelines.
- Research and integrate cutting-edge advancements in Deep Learning and Natural Language Processing.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- 5+ years of professional experience in software engineering or machine learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying models to production environments.
- Excellent understanding of statistical modeling and machine learning theory.
- B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related field.