Machine Learning Research Engineer
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.
This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI.
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:
- Research and 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:
- Masters (or higher) in Computer Science or related fields, or equivalent experience.
- 3+ years experience writing production-grade code in Python, Java, C++, or similar language.
- 3+ 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 Jose, 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:
- Market leading 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.
Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation, then we'd love to have you on board.
We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.