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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer (2026 Vision)

Nexus Core Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join the Vanguard of AI Innovation. Nexus Core Technologies is seeking a visionary Senior Machine Learning Engineer to drive the development of our next-generation predictive platforms. As we look toward the future landscape of 2026, we need a technical leader who can translate complex algorithms into scalable, real-world solutions that redefine industry standards.

In this role, you will architect the backbone of our AI infrastructure, collaborate with cross-functional teams to integrate machine learning models into production environments, and mentor a rising talent pool of data scientists. If you are passionate about the future of technology and possess a deep understanding of neural networks and large language models, we want to hear from you.

Why Join Us?
β€’ Competitive compensation and equity package.
β€’ Work on high-impact projects that shape the future of the industry.
β€’ Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design, train, and deploy robust machine learning models to solve complex business problems.
  • Optimize existing ML pipelines for speed, scalability, and cost-efficiency.
  • Collaborate with data scientists and engineers to implement end-to-end AI solutions.
  • Conduct rigorous testing and validation to ensure model accuracy and reliability.
  • Mentor junior engineers and contribute to code reviews and architectural discussions.
  • Stay abreast of the latest advancements in AI/ML research to integrate cutting-edge techniques.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying models to production environments.
  • Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes SQL Scikit-Learn MLOps

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