Home Job Details
F
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - Project 2026

FutureScale Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of Artificial Intelligence?

FutureScale Solutions is seeking a visionary Senior AI Research Engineer to lead the strategic development of our flagship initiative, Project 2026. In this pivotal role, you will architect the next generation of neural architectures, pushing the boundaries of what is possible in Large Language Models and generative AI.

As part of our elite R&D division, you will work in a fast-paced, high-impact environment alongside world-class scientists and engineers. If you are passionate about solving complex problems and building systems that shape the digital landscape of 2026 and beyond, we want to hear from you.

Why join us?

  • Work on cutting-edge AI technology that impacts millions.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with premium San Francisco amenities.

Responsibilities

  • Architect Development: Design and implement scalable neural network architectures specifically tailored for Project 2026’s unique objectives.
  • Model Optimization: Fine-tune large-scale models to enhance performance, accuracy, and inference speed.
  • Data Strategy: Lead the curation and management of high-quality training datasets for our generative AI systems.
  • Research Publication: Collaborate with academia and industry peers to publish findings in top-tier AI conferences (NeurIPS, ICML, etc.).
  • Technical Mentorship: Guide and mentor junior engineers and data scientists within the research team.
  • Prototyping: Rapidly prototype and validate new AI concepts to de-risk future product development.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in deep learning research or applied AI engineering.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Algorithms: Deep understanding of optimization algorithms, NLP, and computer vision.
  • Problem Solving: Proven track record of solving ambiguous, high-stakes technical problems.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models AI Research Neural Networks Python Data Science Research

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All