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Stealth Startup
AI Research Scientist / Machine Learning Engineer (PhD) [33320]
Stealth Startup
San Francisco•On-site•Salary•1-4 Yrs•5 days ago
Job description
Overview
We are seeking a PhD-level AI Research Scientist or Machine Learning Engineer to develop cutting-edge AI and machine learning solutions that power next-generation products.
Responsibilities
- Research, design, and develop advanced machine learning and AI models.
- Build and deploy production-ready ML systems and inference pipelines.
- Collaborate with software engineers to integrate AI capabilities into customer-facing products.
- Optimize model accuracy, efficiency, and scalability.
- Develop data pipelines, model evaluation frameworks, and experimentation workflows.
- Stay current with the latest advancements in machine learning, deep learning, LLMs, and generative AI.
- Mentor engineers and contribute to technical strategy and architecture.
- Publish or present research where appropriate and translate research into business impact.
Qualifications
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Statistics, Applied Mathematics, or a related quantitative field.
- 4+ years of industry experience in AI/ML research or engineering OR
- 1–2 years of experience as a Machine Learning Engineer with proven experience deploying ML models into production.
- Strong programming skills in Python and experience with C++, Java, or Go.
- Hands-on experience with PyTorch, TensorFlow, or JAX.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
- Strong understanding of algorithms, deep learning, and software engineering best practices.
- Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) are a plus.
- Startup or high-growth technology company experience.
- Strong communication skills with the ability to collaborate across research and engineering teams.