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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Nexus AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to engineer the future of intelligence? Nexus AI Labs is seeking a visionary Senior Machine Learning Engineer to lead our next-generation AI initiatives. In this pivotal role, you will architect and implement scalable machine learning solutions that redefine industry standards.

We are a team of data scientists, engineers, and product visionaries dedicated to pushing the boundaries of Artificial Intelligence. If you thrive in a fast-paced, innovative environment and want to impact millions of users, we want to hear from you.

Responsibilities

  • Design & Development: Architect and deploy end-to-end machine learning pipelines, focusing on Deep Learning and Natural Language Processing (NLP).
  • Optimization: Optimize existing models for speed, accuracy, and scalability to handle high-traffic production environments.
  • Collaboration: Work closely with cross-functional teams (Product, Engineering, Design) to translate complex business problems into technical AI solutions.
  • Mentorship: Guide and mentor junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Research: Stay at the forefront of AI research, evaluating and integrating cutting-edge techniques into our product stack.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Strong understanding of neural networks, transformers, and statistical modeling.
  • Infrastructure: Experience with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Demonstrated ability to debug complex systems and solve high-stakes technical challenges.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Docker Kubernetes SQL

Ready to Take on This Challenge?

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