Senior Machine Learning Engineer

Our company is a fast-growing advertising solutions company for global entertainment and technology clients that are making high-end products for the content creator community. We specialize in brand suitability targeting and measurement across large social media platforms.

Finding yourself here, you might be the type who is interested in developing further in the cutting-edge sector of data in entertainment, specifically getting to polish and build upon a massive data infrastructure that processes multi-terabytes of data daily.

We are hiring a Machine Learning Engineer specializing in Computer Vision to build advanced classifiers for social media data from platforms. You will implement ML algorithms to analyze millions of videos and work with state-of-the-art models, including large language models, to develop sophisticated AI systems. We're looking for someone passionate about machine learning and computer vision, eager to stay current with the field. This role offers mutual learning and growth opportunities.

What makes us truly awesome is everyone’s shared dedication to be themselves, think outside of the box, and make creative strides in the domain of advertising in entertainment. Headquartered in Los Angeles, this position is set up to accommodate a hybrid schedule with 2 days in office.

Required Skills & Experience

• Bachelor’s/Master’s in Computer Science, 3+ years of experience

• Skilled in computer vision, ML algorithms, Python, SQL, Snowflake

• Strong in data structures, algorithms, distributed systems, and RAG

• Experience with testing, code reviews, and communication skills

• Adaptable with new technologies

 

Benefits & Perks

You will receive the following benefits:

• Flexible PTO

• Medical, dental, and vision insurance (with FSA)

• Company-paid life insurance

• Paid parental leave

• 401(k) with company match

• Professional development opportunities

• 14 paid holidays

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.