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Full-Time

Machine Learning Research Engineer

Confirmed live in the last 24 hours

Coactive

Coactive

11-50 employees

Unlocks insights from visual data using AI

Data & Analytics
Enterprise Software
AI & Machine Learning
Entertainment

Compensation Overview

$186k - $220kAnnually

+ Equity Grants

Mid, Senior

San Jose, CA, USA

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Apache Spark
Java
AWS
Apache Hive
Hadoop
Google Cloud Platform
Requirements
  • 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.
Responsibilities
  • 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.

Coactive.ai specializes in extracting analytics and insights from unstructured image and video data. The platform connects to clients' visual data through secure data lake connections or allows uploads via an API. Users can query their visual data using SQL and other familiar big data tools, making it accessible without requiring deep technical skills. Coactive addresses the challenge of incomplete metadata by using advanced data-centric AI and deep learning techniques to generate accurate metadata, facilitating easier analysis. The company likely operates on a subscription or usage-based pricing model, providing businesses with essential tools to interpret visual data for informed decision-making.

Company Stage

Series B

Total Funding

$39.3M

Headquarters

San Jose, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

20%

1 year growth

20%

2 year growth

20%
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Simplify's Take

What believers are saying

  • Securing $30M in Series B funding indicates strong investor confidence and provides substantial resources for growth and innovation.
  • Partnerships with major entities like Comcast, NBCUniversal, and Sky through the LIFT Labs Generative AI Accelerator highlight Coactive's potential for high-impact collaborations.
  • The backing from prominent investors like Andreessen Horowitz and Bessemer Venture Partners further validates Coactive's market potential and technological prowess.

What critics are saying

  • The niche focus on visual data analytics may limit market size compared to more generalized data analytics platforms.
  • Rapid growth and scaling could strain resources and operational capabilities, potentially impacting service quality.

What makes Coactive unique

  • Coactive.ai specializes in extracting insights from unstructured visual data, a niche often overlooked by broader data analytics platforms.
  • The platform's ability to generate precise metadata using advanced deep learning techniques sets it apart from competitors who struggle with incomplete or inaccurate metadata.
  • By allowing users to query visual data using familiar tools like SQL, Coactive reduces the technical barrier to entry, making advanced analytics accessible to non-experts.