Full-Time

Mlops Engineer

Confirmed live in the last 24 hours

Coactive

Coactive

51-200 employees

Unlocks insights from visual data using AI

Data & Analytics
AI & Machine Learning

Compensation Overview

$186k - $220kAnnually

+ Equity Grants

Senior

San Jose, CA, USA

This is a hybrid position based in San Jose, California.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Datadog
Kubernetes
Microsoft Azure
Python
Machine Learning
Java
Docker
AWS
C/C++
Google Cloud Platform
Requirements
  • Bachelor's or Master’s degree in Computer Science, Data Science or a related field.
  • 5+ years of experience and proficiency in programming languages such as Python, Java or C++
  • Familiarity with machine learning frameworks and MLOps practices.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
  • Experience with monitoring tools like Datadog, NewRelic, or similar.
  • Strong problem-solving skills and attention to detail.
Responsibilities
  • Implement observability tooling and practices appropriate to assessing ML Ops across the platform.
  • Evaluate and improve the efficiency of ML development and model deployment processes.
  • Manage the efficiency of model serving by selecting proper scaling strategies and compute resources.
  • Build scalable and resilient ML infrastructure using a combination of managed services and Cloud Native tooling.
  • Collaborate with data scientists and software engineers to improve the integration of ML into our platform and applications.
Desired Qualifications
  • Experience with vector databases.
  • Understanding of similarity and semantic search.
  • Familiarity with multimodal AI.
  • Experience with model interpretability and explainability tools.

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, simplifying the process of gaining insights without needing extensive technical skills. Coactive addresses the challenge of incomplete metadata by using advanced data-centric AI and deep learning techniques to generate accurate metadata, facilitating better analysis and interpretation of visual data. The company likely operates on a subscription or usage-based pricing model, providing businesses with essential tools for making informed operational and strategic decisions based on visual data.

Company Stage

Series B

Total Funding

$39.3M

Headquarters

San Jose, California

Founded

2021

Growth & Insights
Headcount

6 month growth

23%

1 year growth

23%

2 year growth

23%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-driven video analytics enhances Coactive's market potential.
  • Increased interest in data-centric AI aligns with Coactive's core offerings.
  • Expansion of cloud-based data lakes offers integration opportunities for Coactive.

What critics are saying

  • Competition from tech giants like Google and Microsoft threatens Coactive's market share.
  • Rapid AI advancements may render Coactive's platform outdated without continuous innovation.
  • Data privacy regulations like GDPR could impact Coactive's data processing capabilities.

What makes Coactive unique

  • Coactive specializes in unlocking insights from unstructured image and video data.
  • The platform allows SQL-based querying of visual data, simplifying analysis for users.
  • Coactive generates precise metadata using data-centric AI and deep learning techniques.

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Benefits

Hybrid Work Options

Unlimited Paid Time Off

Health Insurance

Dental Insurance

Vision Insurance

Company Equity