Senior Applied ML Engineer – Scalable AI Solutions

Raise - find a more meaningful working experience; Austin (TX); Hybrid; USD 144,648 - 206,640; Full time

Job summary

Raise is looking for a Senior Applied ML Engineer in Austin, TX, or Atlanta, GA. This role involves contributing to machine learning solutions at scale, executing hands-on engineering, and mentoring others.

The candidate must possess 2–4 years of ML engineering experience, a strong knowledge of ML algorithms, and proficiency in Python and relevant ML frameworks. The position offers a dynamic environment with a hybrid work model.

Qualifications

• 2–4 years of relevant ML engineering experience.
• Solid knowledge of ML algorithms like clustering and neural networks.
• Hands-on experience with ML frameworks and tooling.

Responsibilities

• Build secure, reliable, and scalable ML features.
• Conduct stress testing to validate production readiness.
• Participate in internal communities and external learning forums.

Skills

ML engineering experience

ML algorithms knowledge

Python proficiency

SQL skills

Experience with ML frameworks

Cloud ML platform experience

Experience in Linux/Unix environments

Familiarity with REST APIs

Tools

TensorFlow

Pandas

PyTorch

Jupyter Notebooks

Scikit-learn

Job description

Raise is looking for a Senior Applied ML Engineer in Austin, TX, or Atlanta, GA. This role involves contributing to machine learning solutions at scale, executing hands-on engineering, and mentoring others.

The candidate must possess 2–4 years of ML engineering experience, a strong knowledge of ML algorithms, and proficiency in Python and relevant ML frameworks. The position offers a dynamic environment with a hybrid work model.