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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer

2026
New York
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

About 2026
We are a forward-thinking technology company dedicated to architecting the digital landscape of the future. As we approach the pivotal year 2026, our mission is to deploy scalable, intelligent solutions that redefine human-machine interaction. We are seeking a visionary Senior Machine Learning Engineer to join our elite team in New York and drive the next generation of AI innovation.

The Role
In this high-impact position, you will not just implement algorithms; you will define the architectural standards for our next-gen data platforms. You will work at the intersection of research and production, ensuring our AI models are robust, scalable, and ethically sound.

Why Join Us?
* Be at the forefront of technological evolution.
* Competitive compensation and equity package.
* Flexible remote-first culture with a collaborative NY hub.
* Access to cutting-edge hardware and research grants.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep learning architectures at scale.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing ML pipelines to improve latency, throughput, and model accuracy.
  • Conduct rigorous A/B testing and model evaluation to ensure product reliability and performance.
  • Stay abreast of the latest research in NLP, Computer Vision, or Reinforcement Learning to integrate novel techniques into our stack.
  • mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, preferably in a high-growth tech environment.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Deep experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of shipping production-grade ML models from prototype to deployment.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Distributed Systems AWS GCP

Ready to Take This Challenge?

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