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Senior AI/ML Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are building the future of intelligence. Apex Innovations is seeking a world-class Senior AI/ML Engineer to lead the next generation of generative models. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and want to define the technological landscape for 2026, we want to hear from you.

In this role, you will architect scalable machine learning pipelines, optimize inference performance, and collaborate with a team of elite researchers and engineers.

Why Join Us?

  • Competitive compensation package ($180k - $250k).
  • Equity stake in a high-growth unicorn.
  • Flexible remote-first culture.
  • Access to cutting-edge compute resources.

Ready to shape the AI revolution? Apply today.

Responsibilities

  • Model Architecture: Design and implement robust machine learning architectures for large-scale NLP and generative tasks.
  • Optimization: Fine-tune and optimize pre-trained models (e.g., GPT-4, Llama) for production efficiency and accuracy.
  • Research: Stay ahead of the curve by researching novel techniques in Deep Learning and Reinforcement Learning.
  • Deployment: Manage the end-to-end MLOps lifecycle, from data ingestion to model serving on cloud infrastructure (AWS/GCP).
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical solutions.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Knowledge: Deep understanding of NLP, Transformer models, and vector databases.
  • Soft Skills: Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Artificial Intelligence LLMs PyTorch TensorFlow NLP Deep Learning MLOps AWS GCP Data Science

Ready to Take This Challenge?

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

Apply Now

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