ML Research Engineer, Coactive

$185.9-212.8k

AWS

GCP

Python

Java

Tensorflow

C++

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

3 days a week in office (San Jose, CA)

Visual data analytics platform

Be an early applicant

Visual data analytics platform

21-100 employees

B2BBig dataAnalyticsSaaS

Be an early applicant

$185.9-212.8k

AWS

GCP

Python

Java

Tensorflow

C++

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

3 days a week in office (San Jose, CA)

21-100 employees

B2BBig dataAnalyticsSaaS

Company mission

To empower data practitioners and data-driven teams to unlock insights in unstructured image and video data.

Job

Company

Role

Who you are

BS (or higher) in Computer Science or related fields, or equivalent experience
Experience with Computer Vision, Natural Language Processing (NLP), and/or Audio Processing is highly preferred
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 efficient data-intensive algorithms
Please note that periodic travel to the United States is required

What the job involves

As an ML Research engineer, you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data
Solve complex machine learning problems in the multimodal space to support retail, media and entertainment use-cases
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
Perform literature research, design and conduct experiments, benchmark algorithm performance and scalability
Continuously improve algorithm performance to outperform open source state of the art
Mentor the team by advocating to shape engineering best practices and company culture as we grow

Our take

CoactiveAI is on a mission to help humans and machines work together by empowering data practitioners and data-driven teams to unlock insights in unstructured image and video data.

The company is ahead of the curve with its focus on visual data, which is becoming increasingly part of everyday life, now occupying well over 75% of all Internet traffic. CoactiveAI makes this data useful by bringing it into the world of Structured Query Language (SQL), providing information from visual data that can inform business decisions.

Though only founded in 2021, CoactiveAI's founding team has experience working with the first generation of modern machine learning systems at Google, Facebook, Pinterest and eBay. The company has secured impressive funds to expand operations, development efforts, and business reach.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2024

$30m

SERIES B

Mar 2023

$10.4m

SERIES A

Total funding: $40.4m

Company benefits

100% medical, dental & vision coverage for you
Medical, dental & vision partially covered for your dependents
401K
Unlimited PTO
An allowance to set up workstations however you want
A supportive environment with opportunity for growth
Social events ranging from happy hours and hiking to board game nights and games of Mario Kart

Company HQ

Horace Mann, San Jose, CA

Leadership

Cody Coleman

(CEO)

Previously served as a Founding Member for MLCommons, Founding Partner for MLPerf, and as an Intern for Facebook.

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