Job Description
At 2026 Innovations, we are not merely building software; we are architecting the digital reality of tomorrow. We are seeking a visionary Senior AI Product Engineer to join our elite team in San Francisco. You will be at the forefront of developing next-generation generative models that redefine user interaction and operational efficiency.
Our mission is to bridge the gap between human intent and machine capability, creating seamless experiences that feel less like tools and more like extensions of ourselves. If you are passionate about the future of Artificial Intelligence and want to leave a legacy in the tech industry, this is your opportunity to shape the future.
Why Join Us?
We offer a competitive benefits package, including equity, remote work flexibility, and access to the latest hardware and research tools. Come work with the best to build the future.
Responsibilities
- Design and implement scalable machine learning pipelines for production-grade AI applications.
- Collaborate with cross-functional product teams to translate complex requirements into technical architectures.
- Optimize neural network models for inference speed and accuracy to enhance user experience.
- Conduct rigorous testing and validation of AI models to ensure robustness and reliability.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
- Stay abreast of cutting-edge research in NLP, Computer Vision, or Generative AI to drive product evolution.
- Manage the full software development lifecycle (SDLC) from conception to deployment.
Qualifications
- 5+ years of professional experience in software engineering, with a focus on machine learning or AI.
- Proficiency in Python, PyTorch, or TensorFlow, with deep understanding of deep learning architectures.
- Experience deploying models to cloud environments (AWS, GCP, or Azure).
- Strong grasp of data structures, algorithms, and system design principles.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
- BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
- Experience with MLOps and model versioning tools (e.g., MLflow, DVC).