Job Description
We are Synthetix 2026, a forward-thinking technology firm dedicated to defining the infrastructure of tomorrow. We are seeking a visionary AI & Quantum Research Engineer to join our elite team in San Francisco. If you are passionate about pushing the boundaries of artificial intelligence and quantum computing to solve complex problems for the year 2026 and beyond, we want to hear from you.
In this role, you will lead the research and development of next-generation algorithms, bridging the gap between theoretical quantum mechanics and practical AI applications. You will work in a collaborative environment that fosters innovation, creativity, and high-performance engineering.
Responsibilities
- Lead the research and design of advanced AI models and quantum algorithms to solve real-world problems.
- Collaborate with cross-functional teams including data scientists, hardware engineers, and product managers to integrate cutting-edge technology into our core platforms.
- Conduct rigorous testing and validation of AI systems to ensure accuracy, efficiency, and ethical compliance.
- Publish research findings in top-tier conferences and journals to establish Synthetix 2026 as an industry thought leader.
- Optimize existing machine learning pipelines for scalability and performance on quantum hardware.
- Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Computing.
- Minimum of 5 years of professional experience in AI/ML research or software development.
- Strong proficiency in Python, C++, and experience with quantum computing frameworks (e.g., Qiskit, Cirq, or similar).
- Deep understanding of machine learning fundamentals, neural networks, and natural language processing.
- Proven track record of publishing research or delivering high-impact technical projects.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic startup environment.