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Senior Machine Learning Engineer

QuantumLeap Labs
Austin, Texas, USA
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect next-gen solutions that transform industries. Collaborate with elite researchers in our state-of-the-art Austin lab, where cutting-edge algorithms meet real-world impact. Enjoy competitive equity packages, unlimited PTO, and a culture that champions intellectual curiosity.

Responsibilities

  • Design and implement scalable ML pipelines for predictive analytics and autonomous systems
  • Lead model development using TensorFlow, PyTorch, and distributed computing frameworks
  • Collaborate with cross-functional teams to deploy ML models into production environments
  • Conduct advanced statistical analysis and A/B testing to optimize model performance
  • Mentor junior engineers and stay current with emerging AI research
  • Translate complex business requirements into technical ML solutions

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field with 5+ years ML experience
  • Expertise in Python, SQL, and cloud platforms (AWS/GCP/Azure)
  • Proven track record deploying production-grade ML systems
  • Strong foundation in algorithms, data structures, and software engineering
  • Experience with MLOps tools (Kubernetes, MLflow, Kubeflow)
  • Publishing record in top-tier ML conferences (NeurIPS, ICML) highly valued

Required Skills

Machine Learning Python TensorFlow PyTorch AWS MLOps Deep Learning Data Engineering

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