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Senior AI/ML Engineer 2026 - Future-Ready Tech

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to help define the technological landscape of 2026 and beyond. At Nexus Future Labs, we are building the next generation of autonomous agents and generative AI systems that will redefine human-machine interaction.

If you are passionate about pushing the boundaries of Large Language Models (LLMs), Reinforcement Learning, and edge computing, we want to hear from you. You will work directly with our Chief AI Officer to architect solutions that are scalable, ethical, and revolutionary.

Why Join Us?

  • Work on cutting-edge technology that will define the 2026 tech stack.
  • Competitive equity and stock options.
  • Top-tier benefits and flexible remote-first policy.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art machine learning models for production environments with a focus on latency and throughput.
  • Research & Innovation: Stay ahead of industry trends (e.g., Agentic AI, Multimodal Learning) and implement novel architectures to solve complex business problems.
  • Model Optimization: Fine-tune pre-trained models using techniques like LoRA, QLoRA, and quantization to reduce resource costs.
  • Collaboration: Partner with product managers and software engineers to integrate AI capabilities into seamless user experiences.
  • Mentorship: Lead a team of junior data scientists and researchers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field from a top-tier university.
  • Experience: 5+ years of professional experience in machine learning engineering or research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Mathematical Foundation: Strong understanding of linear algebra, calculus, probability, and statistics.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust, scalable solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs SQL Docker Kubernetes AWS AI Research San Francisco

Ready to Take This Challenge?

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