Job Description
Are you ready to define the future? Nexus Future Labs is on the cutting edge of innovation, spearheading the Project 2026 initiative—a next-generation artificial intelligence ecosystem designed to revolutionize how industries interact with data. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco.
In this role, you won't just be maintaining existing models; you will architect the neural networks and deep learning frameworks that will power our solutions through 2026 and beyond. We value autonomy, creativity, and technical excellence.
Why Join Us?
- Impact at Scale: Work on high-impact projects that will shape the AI landscape for the next decade.
- Premium Compensation: Competitive salary and equity package.
- Modern Stack: Access to the latest hardware, GPUs, and cloud infrastructure.
- Flexible Culture: A remote-first, results-driven environment with a focus on well-being.
Responsibilities
- Design, train, and deploy scalable machine learning models using Python and modern deep learning frameworks (TensorFlow/PyTorch).
- Lead the architectural design for Project 2026’s core AI components, ensuring high performance and low latency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Optimize existing models for inference speed and resource efficiency, reducing costs by 20%+ where possible.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay ahead of the curve on emerging AI trends and integrate novel methodologies into our pipeline.
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related field (or equivalent experience).
- 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Proficiency in Python, SQL, and distributed computing frameworks (Spark, Hadoop).
- Deep expertise in Deep Learning, NLP, or Computer Vision (depending on the specific sub-team).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.