Machine Learning Engineer

As a software engineer, you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data.

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.

• 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.

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. #J-18808-Ljbffr