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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026 Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join 2026 Labs at the forefront of technological innovation! We're pioneering next-generation AI solutions that redefine human-machine interaction. As a Senior AI/ML Engineer, you'll architect and deploy scalable machine learning systems powering our flagship autonomous infrastructure platform. Collaborate with elite researchers and engineers to transform theoretical breakthroughs into real-world applications that shape the future of intelligent automation.

We offer competitive compensation, comprehensive benefits, and a culture that champions intellectual curiosity and rapid experimentation. Your work will directly impact industries ranging from logistics to healthcare through cutting-edge neural networks and predictive analytics.

Responsibilities

  • Design and implement production-grade ML pipelines using TensorFlow/PyTorch
  • Lead development of computer vision algorithms for autonomous systems
  • Optimize model performance for edge deployment on IoT devices
  • Collaborate with cross-functional teams to integrate AI solutions
  • Conduct rigorous A/B testing and statistical analysis of model outcomes
  • Mentor junior engineers in best practices for MLOps
  • Research and prototype novel architectures for real-time inference

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years experience
  • Expertise in Python, distributed computing (Spark/Kubernetes), and cloud platforms (AWS/GCP)
  • Proven track record deploying computer vision models at scale
  • Strong foundation in linear algebra, calculus, and probability theory
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow)
  • Publication record in top-tier AI conferences (NeurIPS, ICML) preferred
  • Ability to translate business requirements into technical specifications

Required Skills

Python TensorFlow PyTorch Computer Vision MLOps AWS Kubernetes Spark Deep Learning Distributed Systems

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