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Ray J Jobs (NOW HIRING)

$150 - $210/hr

We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries ... J-18808-Ljbffr

$58.57 - $82/hr

... Ray Sono AG, Franziska Wenzel, Tumblingerstraße 32, 80337 München. Telefon: +49 89 74646‑0, www.raysono.com. #J-18808-Ljbffr

$83 - $124/hr

You can notify us using our contact page at Contact Levi, Ray & Shoup, Inc . #J-18808-Ljbffr

$69 - $124/hr

You can notify us using our contact page at Contact Levi, Ray & Shoup, Inc . #J-18808-Ljbffr

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Ray J information

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$721

$2.1K

$3K

How much do ray j jobs pay per week?

As of Sep 6, 2026, the average weekly pay for ray j in the United States is $2,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $1,740.38 and $2,500.00 per week, depending on experience, location, and employer.

What is the difference between Ray J vs Music Producer?

AspectRay JMusic Producer
CredentialsOften has a background in music or entertainment, sometimes with formal training or industry experienceTypically holds a degree in music, sound engineering, or related fields; may have certifications in production software
Work EnvironmentPerforms in recording studios, on stage, or in entertainment settingsWorks in recording studios, production offices, or on location during recording sessions
Industry UsagePerforms as an artist, singer, or entertainerCreates, arranges, and produces music tracks for artists or projects

While Ray J is primarily known as an artist and entertainer, a music producer focuses on creating and shaping music behind the scenes. Both roles may overlap in the music industry, but their core responsibilities and credentials differ significantly.

Infographic showing various Ray J job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 68% Full Time, 17% Part Time, and 11% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $108,888 per year, or $52.4 per hour.

Software Engineer, ML Infrastructure

Jobtailor

California, MO • On-site

$140 - $190/hr

Other

Posted 19 days ago


Job description

Responsibilities
  • Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
  • Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation
  • Develop high-performance inference systems to ensure fast and efficient AI model serving
  • Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
  • Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
  • Work closely with ML engineers to deploy cutting‑edge models into production
  • Utilize AI tools and high-velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production‑ready quality code
Requirements
  • Bachelor’s degree in a technical field such as computer science or equivalent experience
  • 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post‑grad software development experience; or PhD in a relevant technical field
  • Experience building large‑scale production machine learning systems, distributed systems or big data processing
  • Strong programming skills in Python, Java, Scala or C++
  • Strong problem‑solving skills with a focus on system performance, scalability, and efficiency
  • Good understanding of distributed systems and the infrastructure components of large‑scale ML
  • Experience with big data processing frameworks such as Spark, Flink, or Ray
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