Job Description
Join the Vanguard of AI Innovation
We are looking for a visionary Senior Machine Learning Engineer to help define our technology roadmap for 2026 and beyond. At OmniFuture Corp, we are building the next generation of intelligent systems that will revolutionize the way industries interact with data. This is a rare opportunity to lead architectural decisions that will shape the future.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will work on scalable machine learning infrastructure, large language models, and autonomous agents designed to solve complex real-world problems.
Why Join Us?
- Work on cutting-edge AI models with a focus on explainability and efficiency.
- Competitive salary and equity package reflecting your 2026 impact.
- Flexible remote-first culture with offices in San Francisco.
Responsibilities
- Architect and deploy scalable machine learning pipelines capable of handling petabytes of data.
- Lead the research and implementation of Generative AI models for 2026 strategic goals.
- Collaborate with product teams to translate business requirements into technical AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Optimize model inference latency and reduce operational costs significantly.
- Stay ahead of the curve by evaluating emerging technologies and frameworks.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Extensive experience with Python, PyTorch, TensorFlow, and Hugging Face.
- Strong understanding of distributed computing systems (e.g., Kubernetes, AWS, GCP).
- Proven track record of shipping production-grade ML models.
- Experience with MLOps tools and model versioning (MLflow, DVC).