Job Description
We are seeking a visionary Senior AI/ML Engineer to join 2026 Innovations Inc.. As we define the technological landscape for the near future, we are building next-generation autonomous systems and Large Language Models that will power the applications of 2026 and beyond.
In this role, you will be at the forefront of innovation, bridging the gap between theoretical research and scalable production engineering. You will work in a dynamic, high-performance environment where your code shapes the future of human-machine interaction.
Why Join Us?
- Work on cutting-edge generative AI and LLMs.
- Competitive compensation and equity package.
- Remote-first culture with a hub in Austin, TX.
- Opportunity to define the roadmap for 2026 tech.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art Machine Learning models, including Transformers and diffusion models, tailored for specific industry verticals.
- System Architecture: Architect scalable MLOps pipelines to ensure seamless deployment, monitoring, and retraining of models in production environments.
- Performance Optimization: Optimize inference latency and reduce computational costs for large-scale model serving.
- Research & Innovation: Stay ahead of the curve by integrating the latest research from top conferences (NeurIPS, ICML) into our product suite.
- Collaboration: Partner with cross-functional teams of data scientists, product managers, and engineers to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in building and deploying production ML systems.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with Hugging Face, LangChain, and vector databases.
- Cloud Knowledge: Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Problem Solving: Strong analytical skills with a proven track record of solving complex algorithmic challenges.