Job Description
We are seeking a visionary Senior Machine Learning Engineer to join Apex Intelligence Labs, a leading research firm at the forefront of Generative AI and Natural Language Processing. In this role, you will not just build models; you will architect the future of intelligent systems that solve complex global challenges.
At Apex, we believe in a culture of deep work, radical transparency, and continuous innovation. You will have the autonomy to experiment with state-of-the-art architectures, collaborate with top-tier researchers, and deploy scalable solutions that impact millions of users.
Why Join Us?
- Work with the latest hardware (NVIDIA H100 clusters) and cloud infrastructure.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with an HQ in the heart of SF.
Responsibilities
- Design, develop, and deploy scalable machine learning pipelines and deep learning models in production environments.
- Research and implement novel algorithms to improve model accuracy, robustness, and efficiency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Optimize model inference latency and resource utilization for high-volume applications.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest academic papers and industry trends in AI/ML.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field; Master’s or PhD is preferred.
- 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Strong proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Extensive experience with MLOps practices, including Docker, Kubernetes, and CI/CD pipelines.
- Deep understanding of NLP, LLMs, or Computer Vision architectures.
- Proven track record of shipping high-impact AI products to market.