Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon 2026 is at the forefront of next-generation Artificial Intelligence, building systems that redefine human-machine interaction. We are seeking a visionary Senior AI & Machine Learning Engineer to lead our R&D division in San Francisco.
In this pivotal role, you won't just use existing tools; you will help define the frameworks of tomorrow. You will work on scalable, ethical, and high-impact AI solutions that power our global platform. If you are passionate about pushing the boundaries of what is possible in Generative AI and Predictive Analytics, we want to meet you.
Responsibilities
- Architect & Deploy: Design and implement cutting-edge machine learning models and deep learning architectures that scale to billions of data points.
- Optimization: Optimize inference pipelines and model latency to ensure real-time performance in mission-critical environments.
- R&D Leadership: Conduct high-level research in Natural Language Processing (NLP) and Computer Vision to stay ahead of industry trends.
- Collaboration: Partner with cross-functional teams of data scientists, product managers, and engineers to translate complex data into actionable business intelligence.
- Mentorship: Guide junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Ethical AI: Ensure all deployed models adhere to strict ethical guidelines and bias mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed production models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS/GCP/Azure) is required.
- Mathematics: Strong foundation in linear algebra, calculus, and probability/statistics.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with creative engineering solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.