Job Description
We are building the intelligence layer for the next generation of enterprise software. Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to spearhead our advanced model development initiatives. You will be at the forefront of applying Large Language Models (LLMs) and Generative AI to solve complex, real-world problems. If you are passionate about the future of AI and want to work in a cutting-edge environment, we want to hear from you.
Why Join Us?
- Work with state-of-the-art infrastructure and proprietary data sets.
- Competitive equity package and benefits.
- Flexible remote-first culture with offices in SF and NYC.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale generative models using PyTorch and TensorFlow to optimize for performance and accuracy.
- MLOps Architecture: Build scalable MLOps pipelines to automate model training, deployment, and monitoring in production environments.
- Research & Innovation: Stay abreast of the latest AI research (e.g., from NeurIPS, ICML) and implement novel techniques to improve model reasoning and hallucination reduction.
- Collaboration: Partner with product managers, data scientists, and software engineers to integrate AI capabilities into user-facing products seamlessly.
- Ethical AI: Ensure AI systems adhere to ethical guidelines, safety protocols, and bias mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field (4+ years of experience with a Bachelor’s degree).
- Technical Skills: Strong proficiency in Python, SQL, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Experience: 5+ years of professional experience in AI/ML engineering, specifically with LLMs and NLP.
- Tools: Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to debug complex distributed systems and optimize inference latency.