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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer | 2026 Visionary

2026 Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

Are you ready to engineer the future?

2026 Systems is a pioneer in next-generation predictive analytics and generative AI infrastructure. We are looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. You will be instrumental in building the algorithms that will define the technological landscape of 2026 and beyond.

In this role, you won't just maintain legacy systems; you will architect the core intelligence of our platforms, working with cutting-edge Large Language Models (LLMs) and quantum-ready data structures. If you thrive in a high-performance environment and want to leave a legacy, we want to meet you.

Responsibilities

  • Architect and Deploy: Design and implement scalable machine learning pipelines and models that power our core products.
  • Pioneering Research: Stay at the bleeding edge of AI research, evaluating and integrating new methodologies for 2026 and beyond.
  • Model Optimization: Fine-tune and optimize existing models for speed, accuracy, and cost-efficiency in high-volume production environments.
  • Collaboration: Partner with data scientists and product managers to translate business requirements into technical specifications.
  • Mentorship: Lead technical initiatives and mentor junior engineers, fostering a culture of innovation and excellence.
  • Data Strategy: Implement robust data governance and security protocols to ensure the integrity of our training data.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • System Design: Strong understanding of distributed systems, microservices architecture, and high-availability solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver results under tight deadlines.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Natural Language Processing Deep Learning System Design SQL NoSQL Agile Machine Learning Engineering

Ready to Take This Challenge?

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