Machine Learning Engineer

What you’ll do: Productionize the cutting edge techniques in data-centric AI (active learning, multimodal intelligent search) and representation learning at scale using latest foundation models. Collaborate with a world-class team of engineers, researchers, and scientists to create algorithms built on top of machine learning models to enable efficient, scalable search and analysis on large scale unstructured data. Build infrastructure to enable training and serving large scale machine learning models on image and video datasets. Tackle challenging problems at the intersection of cloud infrastructure and machine learning. Build observability and monitoring infrastructure (with Open Tracing) to ensure high availability of cloud services. Up-skill the team by advocating to shape engineering best practices and company culture as we grow.

What we look for: BS (or higher) in Computer Science or related fields, or equivalent experience. 5+ years experience writing production-grade code in Python, Java, C++, or similar language. 5+ years experience building application software on cloud native platforms (AWS, Azure or GCP). Experience building enterprise applications is a plus. Experience building and maintaining pipelines for large scale ML training, monitoring, and serving (PyTorch, Tensorflow, TFX). Experience in developing data-intensive applications (Apache Spark, Hadoop, Hive). Experience with orchestration tools (Kubernetes) and infrastructure as code (Terraform) is a big plus. What you can expect from us: This is a hybrid position based in San Francisco, California The estimated annual base salary for this position is between $186,000- $220,000 At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to: Equity grants 100% medical, dental, & vision coverage for you Unlimited PTO Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart. Further, you can expect a supportive work environment from us. We build products, but we develop people.