Job Description
Are you ready to architect the future of intelligent systems? Nexus AI Labs is looking for a visionary Senior Machine Learning Engineer to join our core research division in San Francisco. You will work at the intersection of deep learning and large-scale data infrastructure to build models that solve complex real-world problems. We value intellectual curiosity, rigorous engineering standards, and a passion for pushing the boundaries of artificial intelligence.
We offer a collaborative, high-impact environment where your contributions directly shape our product roadmap. Join us in building the next generation of AI-driven solutions.
Responsibilities
- Design, train, and deploy advanced neural network architectures for production environments.
- Collaborate with cross-functional teams to integrate ML models into scalable microservices.
- Optimize model performance, latency, and throughput in high-concurrency cloud environments.
- Conduct cutting-edge research to improve existing algorithms and develop proprietary frameworks.
- Mentor junior engineers and contribute to code review standards and best practices.
- Maintain comprehensive documentation for research findings and system architectures.
- Identify and implement novel data processing pipelines to improve training dataset quality.
Qualifications
- Master’s degree or PhD in Computer Science, AI, Robotics, or a related quantitative field.
- 5+ years of professional experience in machine learning, data science, or software engineering.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing (e.g., Apache Spark, Ray, or Kubernetes).
- Strong foundations in linear algebra, probability, and optimization algorithms.
- Proven track record of deploying ML models in high-traffic production environments.
- Exceptional analytical thinking and complex problem-solving abilities.