Research Engineer - Remote AI Safety & Scalable ML

Aisafety; Berkeley (CA); Hybrid; USD 100,000 - 190,000; Full time

Benefits offered by this job

Catered lunch and dinner

Potential for remote work

Sponsorship for work-related travel

Job summary

A leading AI safety research non-profit is seeking a Member of Technical Staff to develop scalable ML implementations and run scientific experiments. Candidates should possess significant software engineering experience and proficiency in Python, as well as familiarity with ML frameworks like PyTorch or TensorFlow. Opportunities for professional development through mentorship and conference attendance are available, with remote and in-person work possible in Berkeley, CA. The role offers a salary range of $100,000 to $190,000/year depending on experience.

Qualifications

• Significant software engineering experience or applying machine learning methods.
• Experience with at least one object-oriented programming language.
• Open-source contributions or academic publications are preferred.

Responsibilities

• Develop scalable implementations of machine learning algorithms.
• Run scientific experiments with machine learning models.
• Collaborate with scientists in writing up results for publications.

Skills

Software engineering experience

Experience in machine learning methods

Results-oriented mindset

Proficiency in Python

Tools

PyTorch

TensorFlow

Job description

A leading AI safety research non-profit is seeking a Member of Technical Staff to develop scalable ML implementations and run scientific experiments. Candidates should possess significant software engineering experience and proficiency in Python, as well as familiarity with ML frameworks like PyTorch or TensorFlow. Opportunities for professional development through mentorship and conference attendance are available, with remote and in-person work possible in Berkeley, CA. The role offers a salary range of $100,000 to $190,000/year depending on experience.