Senior Machine Learning Engineer, Operations - Remote

Overview

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens.

In Short

• Design and build large-scale applications for processing social media data.
• Implement infrastructure to support machine learning systems at scale.
• Work with state-of-the-art models, including large language models.
• Collaborate in a learning environment with opportunities for knowledge exchange.
• Focus on cutting-edge research in machine learning and computer vision.
• Utilize a tech stack including Python, SQL, and various data processing tools.
• Engage in development practices like thorough testing and code reviews.
• Communicate effectively with team members and stakeholders.
• Stay updated with new technologies and creative solutions.
• Contribute to a diverse and inclusive workplace.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 4+ years of professional experience in machine learning operations.
• Fluency with Python and SQL, specifically Snowflake.
• Experience with distributed systems and machine learning models.
• Familiarity with large language models and RAG systems.
• Strong foundation in data structures, algorithms, and software design.
• Adherence to testing and code review standards.
• Strong verbal and written communication skills.
• Openness to new technologies and creative solutions.

Benefits

• Flexible PTO.
• Medical, dental, and vision insurance with FSA options.
• Company-paid life insurance.
• Paid parental leave.
• 401(k) with company match.
• Professional development opportunities.
• 14 paid holidays off.
• Flexible hybrid work schedule.
• “Summer Fridays” (shorter work days on select Fridays during summer).
• In-office lunches and lots of free food.
• Optional in-person and virtual events.