Job Description
Welcome to 2026, a pioneering force in next-generation artificial intelligence. We are redefining the boundaries of what is possible with generative models and predictive analytics. As we scale our operations to meet the demands of a digital-first future, we are seeking a world-class Senior Machine Learning Engineer to join our elite R&D team in San Francisco.
In this role, you will not merely write code; you will architect the intelligence that powers our ecosystem. You will work alongside industry visionaries to develop scalable algorithms that drive user engagement and operational efficiency. If you are passionate about the intersection of data science and human experience, 2026 is the place where your career will reach its full potential.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models with a focus on production scalability and low latency.
- Collaborate closely with product managers and data scientists to translate complex business requirements into technical solutions.
- Optimize existing models for inference speed and resource efficiency on cloud infrastructure.
- Establish and enforce best practices for code quality, testing, and documentation within the engineering team.
- Conduct rigorous A/B testing and performance analysis to validate model improvements and drive product growth.
- Mentor junior engineers and contribute to the technical roadmap of the company.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning, deep learning, or NLP.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Proven track record of shipping high-impact products to market.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.