Software Engineer / Machine Learning Engineer

Bem - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Administrative and Support Services

About the position

We are seeking a Software Engineer / Machine Learning Engineer to join our innovative team at bem. This role involves developing a groundbreaking platform that leverages the power of large language models (LLMs) to create a new interface between humans and systems, aiming to enhance software interoperability. The position offers a unique opportunity to work closely with the founders and play a foundational role in setting new standards in software engineering.

Responsibilities

• Work directly with the founders to conceptualize, design, and implement our platform.
• Lead the development of robust, scalable software solutions that will serve as the backbone of our platform.
• Stay abreast of emerging trends in AI, machine learning, and software development to ensure our platform remains bleeding-edge.
• Experiment with new technologies and methodologies to continuously improve our product and processes.
• Act as a technical mentor to the team, fostering an environment of learning and growth.

Requirements

• 3+ years building software in mission-critical production environments.
• Proven experience in software development, with a strong background in AI and machine learning.
• Demonstrated ability in building scalable and reliable production software systems.
• Excellent programming skills in multiple languages and familiarity with AI/ML frameworks.
• Strong problem-solving skills and a creative approach to tackling complex challenges.
• Passionate about AI and its potential to transform software development.
• Product-driven ethos.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Benefits

• The chance to be part of a visionary platform with enormous potential for impact.
• A collaborative, innovative, and dynamic work environment.
• Competitive compensation, including early equity.
• Flexible work arrangements to support work-life balance.