Job Description
Are you ready to define the future of artificial intelligence? Apex Horizon Technologies is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. We are building the next generation of generative models and autonomous agents designed for the evolving landscape of 2025 and beyond.
We are looking for a technical leader who not only excels in building robust machine learning systems but also understands the strategic implications of AI in the real world. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Computer Vision, and Reinforcement Learning, this is your opportunity to lead high-impact projects.
Why Apex Horizon?
At Apex Horizon, we are not just writing code; we are architecting the intelligence of tomorrow. We offer a competitive compensation package, generous equity options, and a collaborative environment that fosters innovation and professional growth.
Core Responsibilities
- Architect and implement scalable machine learning pipelines for production deployment, ensuring high availability and low latency.
- Research and implement novel algorithms in NLP and deep learning to enhance our core product capabilities.
- Mentor junior engineers and data scientists, conducting code reviews and technical architecture planning.
- Collaborate closely with product managers and engineers to translate business requirements into technical AI solutions.
- Optimize model training efficiency and inference speed using advanced hardware acceleration (GPUs/TPUs).
- Stay abreast of the latest advancements in AI research and integrate cutting-edge methodologies into our workflow.
Qualifications
- 5+ years of professional experience in Machine Learning, AI Engineering, or Data Science.
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of MLOps practices, including CI/CD, containerization (Docker/Kubernetes), and model serving (TorchServe, TensorFlow Serving).
- Experience with cloud platforms (AWS, GCP, or Azure) and vector databases.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and implement scalable machine learning pipelines for production deployment, ensuring high availability and low latency.
- Research and implement novel algorithms in NLP and deep learning to enhance our core product capabilities.
- Mentor junior engineers and data scientists, conducting code reviews and technical architecture planning.
- Collaborate closely with product managers and engineers to translate business requirements into technical AI solutions.
- Optimize model training efficiency and inference speed using advanced hardware acceleration (GPUs/TPUs).
- Stay abreast of the latest advancements in AI research and integrate cutting-edge methodologies into our workflow.
Qualifications
- 5+ years of professional experience in Machine Learning, AI Engineering, or Data Science.
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of MLOps practices, including CI/CD, containerization (Docker/Kubernetes), and model serving (TorchServe, TensorFlow Serving).
- Experience with cloud platforms (AWS, GCP, or Azure) and vector databases.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.