Job Description
Shape the future with FutureTech Innovations! We're seeking visionary AI/ML Engineers to architect next-generation systems that will redefine industries by 2026. Join our elite team in San Francisco where innovation meets impact. You'll pioneer breakthrough solutions in generative AI, autonomous systems, and neural networks while collaborating with Nobel Prize-winning researchers. Our startup culture combines Silicon Valley resources with academic rigor—perfect for disruptors ready to build what's next.
Enjoy cutting-edge tools, unlimited learning budgets, and equity in a company valued at $2B+. Your work will directly influence how 1B+ users interact with technology daily. If you thrive at the intersection of bleeding-edge research and scalable production systems, this is your moment.
Responsibilities
- Architect and deploy production-grade ML pipelines for real-time inference at scale
- Develop novel algorithms in generative AI, reinforcement learning, and multimodal systems
- Optimize neural networks for edge deployment across IoT and autonomous platforms
- Lead cross-functional sprints to integrate AI solutions into enterprise ecosystems
- Publish research in top-tier venues (NeurIPS, ICML) while protecting IP
- Mentor junior engineers and establish best practices for MLOps
- Drive ethical AI frameworks aligned with 2026 regulatory landscapes
Qualifications
- MS/PhD in CS, ML, or related field with 5+ years production experience
- Expertise in PyTorch/TensorFlow with 100M+ parameter model deployment
- Published research in AI/ML or top-tier tech company ML leadership
- Proficiency in distributed computing (Kubernetes, Spark) and cloud-native stacks
- Strong background in computer vision, NLP, or reinforcement learning
- Experience with full ML lifecycle: data ingestion, feature engineering, deployment
- Portfolio demonstrating 3+ shipped AI products with measurable impact