Electrosonic is where imagination comes to life! Founded in 1964, Electrosonic is an international audio-visual and technology services company that designs, builds, and supports innovative solutions creating lasting...
In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature...
This range is provided by Benda Infotech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $65,000.00/yr - $140,000.00/yr We help businesses achieve more...
At Materion, everyone is included, respected and offered opportunity to grow. Join us! Under supervision of the Maintenance Supervisor, the Maintenance Mechanic II is responsible for performing mechanical activities...
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/...
Direct message the job poster from Seneca Resources Talent Acquisition Executive - (US IT Recruitment) JOB DESCRIPTION Location: New York (Hybrid) Position Status:...
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of...
Get AI-powered advice on this job and more exclusive features. Minimum QualificationsBachelor's degree in a technical subject (e.g. computer science, machine learning, mathematics, physics, statistics, econometrics), or...
Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: New York, NY Duration: 9 Months Domain Exposure: Banking & Finance, Government, Oil &...
The Personalization teams make deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and...