Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to join our elite R&D division. In this pivotal role, you won't just maintain our current stack; you will define the future of our AI infrastructure, ensuring we are at the forefront of innovation.
We are building the next generation of generative AI solutions. We are looking for someone who thrives on complexity, embraces ambiguity, and has a passion for building scalable, robust systems that drive business growth. If you are ready to leave a lasting legacy in the tech industry, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects with a competitive salary and equity package.
- Flexible remote-first culture with a premium office in San Francisco.
- Opportunity to mentor the next generation of engineers.
Responsibilities
- Architect Future-Proof Solutions: Design and implement scalable machine learning models and data pipelines focused on the 2026 tech landscape.
- Strategic Innovation: Lead the research and development of novel algorithms to solve complex business problems.
- System Optimization: Oversee the end-to-end deployment of AI models, ensuring high performance and low latency in production environments.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering teams to define technical requirements.
- Code Quality & Mentorship: Establish coding standards and mentor junior engineers to foster a culture of excellence.
- Scalability Management: Ensure infrastructure can handle projected growth and load spikes efficiently.
Qualifications
- Experience: 5+ years of professional experience in software engineering, with a strong focus on AI, Machine Learning, or Data Science.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS, GCP) is essential.
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Problem Solving: Demonstrated ability to troubleshoot complex technical issues and deliver results under tight deadlines.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in Agile/Scrum environments and adapting to rapid changes.