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Machine Vision Video Analytics Engineer Jobs (NOW HIRING)

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

Uniting Holding

WI · On-site

Catalyx is seeking an Automation and Machine Vision Engineer to join our team in Belgium. Who We ... * Analyse existing procedures, suggest improvements, and support the creation of design and ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Port, implement, and optimize analytics and machine learning algorithms using special purpose ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

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Machine Vision Video Analytics Engineer information

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$31.5K

$128.8K

$193.5K

How much do machine vision video analytics engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine vision video analytics engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Vision Video Analytics Engineer jobs?

For Machine Vision Video Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Vision Video Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Video Analytics - Contract

New York, NY • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees
Learn more about Bloomberg LPexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Video Analytics - Contract
Location
New York
Business Area
News and Media
Ref #
10053366
Description & Requirements
We are looking for a Video Analytics CW to support analysis and reporting across video and digital platforms. This role will focus on understanding video performance, audience behavior, and the relationship between engagement, subscriptions, and revenue.
Key Responsibilities:
  • Use SQL, Python, and BI/reporting tools to extract, clean, transform, validate, and analyze large-scale video and digital analytics datasets from multiple platforms and data sources.
  • Perform advanced statistical and correlation analysis to understand how video and digital engagement metrics such as watch time, engagement rate, retention, and audience segments relate to subscriptions and revenue.
  • Develop dashboards and recurring analytical reports to monitor video performance metrics, track performance trends, identify shifts in viewer behavior, and analyze patterns across audience segments such as geography, traffic source, platform, and content type.
  • Support the definition and refinement of KPIs used to measure content success, audience engagement, and platform growth.
  • Translate complex datasets into clear insights, actionable recommendations, and compelling business narratives.
  • Partner with marketing, product, editorial, and leadership teams to answer key business questions and support decision-making around video performance and audience growth.

Qualifications
  • Strong experience using SQL and Python for data analysis.
  • Experience with BI and reporting tools such as Tableau, Looker, Power BI, or similar platforms.
  • Experience working with video, digital media, audience, or content performance data.
  • Strong analytical skills, including experience with statistical and correlation analysis.
  • Ability to work with complex datasets and identify meaningful trends and patterns.
  • Strong communication skills and the ability to translate analysis into clear business insights and recommendations.

Salary Range = 55 - 60 USD Hourly
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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Benefits

Hours and flexibility

Workplace

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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