Computer Vision/ Machine Learning Engineer

Computer Vision/ Machine Learning Engineer#26-00061 Santa Monica, CA

All On-site Job Description Description:

Ad Platforms organization within client Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of client online properties, including client subsidiaries. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Senior Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration.

WHAT YOU'LL DO

Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on Client solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.

Basic Qualifications:

WHAT TO BRING

MS or PhD(preferred) in computer science or equivalent experience. Minimum 3 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc Proven proficiency in deep learning methodologies, including recurrent and sequence-based models. Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks. Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data. Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc. Strong grasp of LLM evaluation methodologies, experience with RAG architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications:

NICE-TO-HAVES

Experience in digital video advertising or digital marketing domain. Experience with Databricks and AWS Sagemaker. Required Education BA/BS Degree Comp Sci/IS or related field Preferred Education MS/PHD Preferred •Talteam Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.•