Job Description
We are seeking a visionary Senior Machine Learning Engineer to join our elite R&D team in San Francisco. You will be at the forefront of developing next-generation neural architectures that drive our proprietary AI solutions. If you are passionate about pushing the boundaries of artificial intelligence and possess a deep understanding of scalable systems, we want to hear from you.
Why Join Us?
• Work on cutting-edge AI projects that impact millions.
• Competitive compensation and equity package.
• Flexible remote-first hybrid work culture.
Responsibilities
- Architect and deploy robust machine learning models capable of handling petabyte-scale data streams.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmaps.
- Conduct cutting-edge research to improve model accuracy, efficiency, and fairness.
- Implement MLOps pipelines to automate model training, validation, and deployment processes.
- Mentor junior engineers and contribute to technical best practices within the organization.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience (5+ years) in designing and implementing large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of deep learning architectures, NLP, or Computer Vision.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).