Job Description
About the Role: Nexus Horizon Solutions is at the forefront of technological innovation, building the infrastructure for the future. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. In this pivotal role, you will drive the development of next-generation machine learning models that will shape the roadmap for 2026 and beyond.
Why Join Us?
- Work with a world-class team of engineers and data scientists.
- Competitive compensation package and equity options.
- Flexible remote/hybrid work model designed for 2025 standards.
- Access to cutting-edge hardware and cloud resources.
Key Responsibilities:
You will be responsible for the full lifecycle of AI development, from initial prototyping to production deployment.
- Architect and implement scalable machine learning pipelines and data infrastructure.
- Lead the research and development of novel algorithms to solve complex business problems.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Collaborate with product managers to translate technical requirements into business value.
- Optimize model performance for speed, accuracy, and cost-efficiency.
Qualifications:
We are looking for individuals who demonstrate exceptional technical depth and a passion for innovation.
- 5+ years of experience in software engineering with a focus on AI/ML.
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with cloud platforms (AWS, GCP, or Azure).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of deploying models to production environments.
Responsibilities
- Architect and implement scalable machine learning pipelines and data infrastructure.
- Lead the research and development of novel algorithms to solve complex business problems.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Collaborate with product managers to translate technical requirements into business value.
- Optimize model performance for speed, accuracy, and cost-efficiency.
Qualifications
- 5+ years of experience in software engineering with a focus on AI/ML.
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with cloud platforms (AWS, GCP, or Azure).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of deploying models to production environments.