Job Title: Senior Machine Learning Engineer

Company Name: Zefr

Job Details: $150k-$200k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/jrbcac5cse899art

Job Description: Posted 1mo agoSenior Machine Learning Engineer@ ZefrView All JobsWebsiteMarina del Rey, California, United States$150k-$200k/yrRemoteFull TimeResponsibilities:designing systems, building pipelines, deploying modelsRequirements Summary:Bachelor's or Master's in CS or related field; 5+ years of ML Engineering/MLOps experience; strong math/statistics; ML deployment, CI/CD for ML; transformer models; multimodal embeddings; LLMs; model/versioning/feature stores; CI/CD for ML; inference optimization.Technical Tools Mentioned:Python, SQL, Snowflake, Qdrant, GCS, DBT, Pandas, Ray, GitHub Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog, Triton Inference Server, Weights and Biases, ONNX, TensorRT, LLM, vLLM, SGLang, Voxel51 Teams, Transformers, PyTorch, HuggingFace
What we do: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. The company is headquartered in Los Angeles, California, with additional locations across the globe.What you’ll do:We are hiring a Senior Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data. In this role you will implement infrastructure to support machine learning systems at scale processing hundreds of millions of social media videos daily. You will be working with state of the art models, including large language models, to build sophisticated compound AI systems. We are excited to welcome someone who is passionate about cutting edge research in machine learning and computer vision. We want an individual who can keep up to date with the ever-expanding field of Machine Learning Operations.This is a role where we both expect to learn from you and have you learn from us!Tech stack:Languages: Python, SQLData Stores: Snowflake, Qdrant, GCSData Processing: DBT, Pandas, RayDevOps: GitHub Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, DatadogMLOps: Triton Inference Server, Weights and Biases, ONNX, TensorRT LLM, vLLM, SGLangML: Voxel51 Teams, Transformers, PyTorch, HuggingFaceWhat we’re looking for:Bachelor's or Master's degree in Computer Science or related field with 5+ years of professional experience in ML Engineering or MLOpsStrong foundation in mathematics and statisticsDeep expertise in ML model deployment, serving infrastructure, and production ML systemsHands-on experience with transformer architectures (e.g., BERT, ViT) for natural language and vision tasksStrong understanding of multimodal embedding techniques for integrating text, image, audio, and structured dataExperience with LLM models such as Gemini, GPT, Claude, Qwen, etc.Experience with ML experiment tracking, model versioning, and feature storesStrong understanding of CI/CD principles applied to ML workflowsExperience optimizing model inference performance (ONNX, TensorRT, or similar)Openness to new technologies and creative solutionsNice to HaveExperience with ad tech and digital advertising ecosystemExperience with multimodal LLM fine-tuningBenefits (for US based employees):Flexible PTOMedical, dental, and vision insurance with FSA optionsCompany-paid life insurancePaid parental leave401(k) with company matchProfessional development opportunities14 paid holidays offFlexible hybrid work schedule“Summer Fridays” (shorter work days on select Fridays during the summertime)In-office lunches and lots of free foodOptional in-person and virtual events (we like to celebrate!)Compensation (for US based employees):The anticipated base salary for this position is between $150,000 and $200,000.   Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better.  We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.