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Senior AI Research Scientist (2026 Vision)

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to define the trajectory of Artificial Intelligence for the year 2026 and beyond? FutureCore Systems is seeking a visionary Senior AI Research Scientist to lead our cutting-edge research division. In this role, you will architect the next generation of generative models, ensuring our technology remains at the forefront of the industry.

We are not just building tools for today; we are building the infrastructure for tomorrow. If you are passionate about pushing the boundaries of Machine Learning and Deep Learning, we want to hear from you.

Why Join Us?

  • Work on state-of-the-art Generative AI and Large Language Models (LLMs).
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to top-tier computing infrastructure and research grants.

Key Responsibilities

As a key member of our R&D team, you will:

  • Design and implement scalable machine learning algorithms that drive our core products.
  • Lead research initiatives focused on Reinforcement Learning from Human Feedback (RLHF) and autonomous agents.
  • Collaborate with cross-functional teams of engineers, product managers, and ethicists.
  • Optimize model performance for speed, accuracy, and energy efficiency.
  • Publish high-impact research papers and contribute to open-source communities.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in research, software engineering, or applied AI.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
  • Experience with fine-tuning LLMs and developing Retrieval-Augmented Generation (RAG) systems.

Ready to shape the future? Apply today and let's build the impossible together.

Responsibilities

  • Model Architecture: Spearhead the design of novel neural network architectures tailored for 2026-era computational requirements.
  • Data Strategy: Curate and manage large-scale datasets to train robust, unbiased AI models.
  • Deployment: Oversee the transition of research prototypes into production-ready APIs.
  • Mentorship: Guide junior researchers and engineers, fostering a culture of innovation.
  • Ethics: Ensure AI systems adhere to safety guidelines and ethical standards.
  • Qualifications

  • Education: Advanced degree (PhD preferred) in AI, Machine Learning, or a related quantitative field.
  • Technical Stack: Proficiency in C++, CUDA, and GPU optimization techniques.
  • Experience: Extensive background in NLP, Computer Vision, or Multimodal AI.
  • Problem Solving: Ability to tackle ambiguous problems with creative, data-driven solutions.
  • Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.
  • Required Skills

    Machine Learning Deep Learning Python PyTorch TensorFlow NLP Generative AI Large Language Models RLHF CUDA Computer Vision Natural Language Processing

    Ready to Take This Challenge?

    Make sure your resume is ready. Submit your application now before the deadline.

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