Job Description
Are you ready to define the technology of tomorrow?
Nexus Future Labs is on a mission to build the intelligent infrastructure of the 2026 era. We are seeking a highly skilled and visionary AI/ML Engineer to join our elite research division. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and predictive analytics, we want to hear from you.
In this role, you won't just be maintaining existing systems; you will architect the core algorithms that will power our applications for years to come. You will work in a fast-paced, innovative environment where your code directly impacts the future of digital interaction.
Why Join Us?
- Work on cutting-edge 2026 technology stack.
- Competitive equity package and top-tier benefits.
- Flexible remote-first policy with a SF hub.
- Access to state-of-the-art compute resources.
Responsibilities
- Design, train, and deploy advanced machine learning models, with a focus on scalability and efficiency for 2026 infrastructure.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Optimize existing ML pipelines to improve latency, throughput, and cost-efficiency using techniques like quantization and pruning.
- Conduct rigorous testing and validation to ensure model robustness, fairness, and safety.
- Stay ahead of the curve by researching the latest breakthroughs in Deep Learning, NLP, and Computer Vision.
- Mentor junior engineers and contribute to the technical vision of the AI department.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Proven experience (5+ years) in building and deploying production-grade ML models.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of Deep Learning architectures, specifically Transformers and LLMs.
- Experience with MLOps tools such as Kubernetes, MLflow, and Docker.
- Excellent problem-solving skills and the ability to work in a dynamic, ambiguous environment.
- Fluency in English is required for cross-functional collaboration.