Staff ML Engineer — Scale ML Systems (Hybrid)

Raise - find a more meaningful working experience; Austin (TX); Hybrid; USD 206,640 - 275,520; Full time

Job summary

Raise is seeking a Staff ML Engineer in Austin, TX to lead the technical strategy for machine learning systems. You will mentor engineers, drive initiatives, and ensure scalable ML solutions. This is a senior contributor role requiring collaboration with various teams to deliver impactful AI solutions.

With 3-6 years in the field and strong expertise in ML algorithms and advanced techniques, you will be integral to shaping project outcomes while adapting to evolving business needs.

Qualifications

• 3–6 years of relevant ML engineering experience.
• Deep expertise in ML algorithms such as clustering and neural networks.
• Strong command of Python and SQL.

Responsibilities

• Lead design and delivery of secure, reliable ML solutions.
• Partner with teams to define and ship features.
• Monitor production systems for quality.

Skills

ML algorithms expertise

Statistics and regression methods

NLP and convolutional neural networks

Python programming

SQL skills

Tools

TensorFlow

PyTorch

Jupyter Notebooks

Job description

Raise is seeking a Staff ML Engineer in Austin, TX to lead the technical strategy for machine learning systems. You will mentor engineers, drive initiatives, and ensure scalable ML solutions. This is a senior contributor role requiring collaboration with various teams to deliver impactful AI solutions.

With 3-6 years in the field and strong expertise in ML algorithms and advanced techniques, you will be integral to shaping project outcomes while adapting to evolving business needs.