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Information Technology 🏒 Full Time ⭐️ Verified

Lead Machine Learning Engineer

2026 Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Shape the Future with 2026 Innovations

We are a forward-thinking AI research lab building the foundational models for the year 2026 and beyond. Our mission is to bridge the gap between theoretical AI and real-world application, creating autonomous systems that redefine human productivity. We are seeking a visionary Lead Machine Learning Engineer to join our elite engineering team in Austin, Texas.

In this pivotal role, you will not just deploy models; you will architect the neural networks that power our next generation of products. You will work with a team of world-class researchers and engineers to push the boundaries of Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.

Why Join Us?

  • Impact: Your work will directly influence the technology landscape of the next decade.
  • Equity: Competitive equity package tied to company milestones.
  • Environment: Top-tier research facility with state-of-the-art compute clusters.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural network architectures.
  • Lead a team of data scientists and ML engineers to drive project milestones and technical excellence.
  • Collaborate with product managers to translate complex business requirements into technical ML solutions.
  • Optimize algorithms for high-throughput, low-latency environments, ensuring real-time performance.
  • Stay at the forefront of AI research, implementing cutting-edge techniques such as Transformers or Diffusion models.
  • Mentor junior engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 6 years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong background in distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with large-scale data processing (Spark, Kafka, or Hadoop).
  • Proven track record of shipping production-ready AI applications.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision AWS Distributed Systems Data Engineering

Ready to Take This Challenge?

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

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