About Us:
We are an AI startup, born from Stanford innovation, and we’re at the forefront of applying machine learning to solve complex problems across industries. Based in San Francisco, we are focused on pushing the boundaries of AI with cutting-edge solutions. As we continue to expand, we offer the opportunity to be part of a rapidly growing team that’s making a significant impact in AI-driven products and services.
Role Overview:
We are seeking a highly skilled Machine Learning Engineer to develop, deploy, and optimize advanced machine learning models that will power next-generation AI products. In this role, you will work closely with top-tier talent to deliver scalable solutions using state-of-the-art machine learning techniques. This is a high-impact position where you will play a critical role in shaping our AI capabilities.
Key Responsibilities:
- Design, develop, and implement machine learning models that address real-world challenges.
- Collaborate with cross-functional teams to integrate ML models into scalable production environments.
- Optimize models for performance, scalability, and accuracy across a variety of AI-driven applications.
- Work on data preprocessing, feature engineering, and model tuning for optimal results.
- Keep up-to-date with the latest advancements in machine learning, and actively experiment with new techniques and technologies.
- Contribute to code reviews, design discussions, and team knowledge-sharing sessions.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, or a related field from a top-tier institution (Stanford, Ivy League, or equivalent).
- 3-5 years of experience working on machine learning models in production environments.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Demonstrated experience with NLP, computer vision, or other advanced ML techniques.
- A proven track record of deploying machine learning models at scale.
- Familiarity with cloud platforms like AWS, GCP, or Azure for ML infrastructure.
- Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.
Why Join Us:
- Competitive Compensation: A base salary of $300,000, plus significant equity in a fast-growing AI startup.
- Innovation at Scale: Work on cutting-edge AI technologies with a team of top experts from Stanford and other leading institutions.
- Growth Potential: As a key member of our team, you will have the opportunity to shape the future of our AI products and services, with significant opportunities for career development.
- Collaborative Culture: Be part of a passionate team that encourages experimentation, innovation, and continuous learning.
If you are passionate about machine learning and excited about working at the forefront of AI innovation, we’d love to hear from you!