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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Build the Future at 2026 Innovations

We are seeking a visionary Senior Machine Learning Engineer to lead our AI initiatives. At 2026 Innovations, we are not just predicting the future; we are engineering it. You will be responsible for designing and deploying state-of-the-art machine learning models that power our core products. If you are passionate about deep learning, scalability, and solving complex problems, we want to hear from you.

Our Culture:

  • Remote-first work environment.
  • Competitive equity and benefits package.
  • Continuous learning and development budget.

Responsibilities

  • Design, train, and fine-tune advanced neural networks and deep learning models.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Optimize models for low-latency, high-throughput production environments.
  • Implement MLOps pipelines to ensure model reliability and continuous deployment.
  • Conduct rigorous data analysis to identify trends and opportunities for model improvement.
  • Stay current with the latest research in AI and implement novel techniques.
  • Provide technical mentorship to junior engineering team members.

Qualifications

  • PhD or Master's degree in Computer Science, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning or data science.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Excellent communication skills and the ability to translate technical concepts for non-technical stakeholders.

Required Skills

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

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