Job Description
At Nexus Core Technologies, we are pioneering the next generation of artificial intelligence solutions that reshape how industries interact with data. We are looking for a visionary and technically rigorous Senior Machine Learning Engineer to join our elite engineering team in San Francisco.
In this role, you will not just write code; you will architect the intelligence behind our flagship products. You will work with cutting-edge frameworks and collaborate with cross-functional teams to transform complex datasets into actionable, scalable models. If you thrive in a fast-paced environment and are passionate about the future of AI, we want to hear from you.
Why Join Us?
- Competitive salary and equity package.
- Unlimited PTO and flexible remote-first culture.
- Access to the latest hardware and cloud infrastructure.
- Professional development budget and conference attendance.
Responsibilities
- Design, develop, and deploy scalable machine learning models and pipelines using Python, TensorFlow, and PyTorch.
- Collaborate with data scientists and product managers to define technical requirements and drive feature innovation.
- Optimize existing algorithms for improved speed and accuracy in production environments.
- Conduct rigorous testing, validation, and monitoring of model performance to ensure reliability and prevent drift.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest research and industry trends to integrate novel techniques into our stack.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
- Minimum of 5 years of professional experience in machine learning engineering or a similar data science role.
- Strong proficiency in Python and deep knowledge of machine learning libraries (scikit-learn, pandas, NumPy).
- Proven experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, or Azure).
- Experience deploying models via REST APIs and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.