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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the infrastructure for the future. Nexus 2026 is a premier technology firm pioneering next-generation artificial intelligence solutions. We are seeking a visionary Senior AI/ML Engineer to lead our research and development efforts.

In this role, you will architect scalable machine learning systems that drive our core products. You will work at the intersection of data science and engineering, solving complex problems that define the landscape of 2026 and beyond.

Key Highlights:

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation package and equity opportunities.
  • Flexible work environment with a focus on innovation.

If you are passionate about the future of AI and want to shape the industry standards, apply today.

Responsibilities

  • Design and deploy scalable machine learning models and deep learning architectures.
  • Lead the end-to-end data pipeline, from ingestion to model serving.
  • Conduct research to improve model accuracy, speed, and generalization capabilities.
  • Collaborate with product managers and engineers to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct rigorous code reviews.
  • Ensure ethical AI practices and model transparency in all deployments.
  • Stay current with the latest advancements in NLP, Computer Vision, or Generative AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in Machine Learning Engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with large-scale data processing (Spark, Kafka, Hadoop).
  • Proven track record of deploying models into production environments (AWS, GCP, or Azure).
  • Experience with MLOps tools and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced agile environment.

Required Skills

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

Ready to Take This Challenge?

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

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