Applied ML Engineer - Hybrid (Austin/Atlanta)

Raise - find a more meaningful working experience; Austin (TX); Hybrid; USD 110,208 - 158,424; Full time

Job summary

Raise is seeking a collaborative Applied ML Engineer to join a hybrid team in Austin, TX. You will drive ML features from design to deployment, collaborating with product managers, designers, and engineers.

This role emphasizes coding best practices, continuous learning, and effective collaboration within cross-functional teams. You must have 1–3 years of relevant experience and proficiency in Python.

The compensation ranges from $80.00 to $115.00 per hour, depending on experience.

Qualifications

• 1–3 years of hands-on experience in software engineering or ML development.
• Familiarity with cloud data stores such as BigQuery.
• Exposure to ML concepts including clustering and neural networks.

Responsibilities

• Partner with engineers and product managers to build ML features.
• Write and review production-quality code.
• Monitor production systems and track Service Level Objectives.

Skills

Python

Machine Learning

SQL

Web frameworks

Version control

Tools

Jupyter Notebooks

TensorFlow

Git

BigQuery

Job description

Raise is seeking a collaborative Applied ML Engineer to join a hybrid team in Austin, TX. You will drive ML features from design to deployment, collaborating with product managers, designers, and engineers.

This role emphasizes coding best practices, continuous learning, and effective collaboration within cross-functional teams. You must have 1–3 years of relevant experience and proficiency in Python.

The compensation ranges from $80.00 to $115.00 per hour, depending on experience.