Job Description
We are seeking a visionary Senior Machine Learning Engineer to spearhead the 2026 Initiative, our flagship project to redefine human-machine interaction through advanced generative AI. In this role, you will not just build models; you will architect the future of our technology stack, ensuring scalability, security, and cutting-edge performance. You will work in a dynamic, elite team environment, pushing the boundaries of what is possible with transformer architectures and neural networks.
Why Join Us?
- Work on next-generation AI infrastructure that will define the industry landscape.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with access to top-tier tech hardware.
Responsibilities
- Design and implement robust, scalable machine learning pipelines for the 2026 product suite.
- Lead research and development of novel generative AI models, focusing on LLMs and diffusion models.
- Collaborate closely with data scientists and product managers to translate complex business requirements into technical solutions.
- Optimize model inference speeds and reduce computational overhead in production environments.
- Mentor junior engineers and establish best practices for code quality and deployment.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Proven experience (5+ years) building and deploying ML models in production environments.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Deep Learning architectures, specifically Transformers and attention mechanisms.
- Experience with MLOps tools (Kubernetes, Docker, MLflow) and cloud platforms (AWS, GCP).