Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. Apex Dynamics is seeking a visionary Senior AI Engineer to lead the development of next-generation machine learning models that power our global infrastructure. You will work at the intersection of research and production, deploying scalable AI solutions that impact millions of users. If you are passionate about pushing the envelope of what is possible in deep learning and natural language processing, we want to hear from you.

Why Join Us?

  • Competitive Compensation: $180k - $260k base salary plus equity.
  • Flexible Work: Hybrid model supporting remote and in-office collaboration.
  • Professional Growth: Access to the latest GPUs, cloud credits, and a culture of continuous learning.

Responsibilities

  • Model Development: Design, train, and fine-tune advanced neural networks (Transformers, LLMs) to solve complex business problems.
  • System Architecture: Architect end-to-end AI pipelines, ensuring scalability, low latency, and high availability.
  • Deployment & MLOps: Implement and manage CI/CD pipelines for model deployment using Kubernetes and Docker.
  • Research & Innovation: Stay abreast of the latest academic papers and industry trends to integrate cutting-edge techniques into our products.
  • Code Review & Mentorship: Lead code reviews, conduct technical interviews, and mentor junior engineers and data scientists.
  • Performance Optimization: Optimize model inference speed and reduce resource costs through quantization and pruning techniques.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in building and deploying production-level machine learning models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Frameworks: Deep experience with Hugging Face, LangChain, or similar NLP frameworks.
  • Cloud Native: Strong familiarity with AWS (SageMaker, EC2, Lambda) or GCP (Vertex AI, TPU).
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and derive data-driven solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes AI

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